Dreaming: a process of self-organizationKahn and Hobson (1993) proposed that dreams are a product of self-organization of brain during sleep. As a complex system far from equilibrium state, the dreaming brain may form a new pattern by the interaction between components within this system. At REM sleep stage, signals from neuronal clusters self-organize and form image fragments, then the image fragments interact and produce images, and finally these materials are associated into a relatively continuous narrative (i.e., dreams). (...) This process above happens under a weak control of brain, and the conditions of this state mainly include: (a) the inhibition of external stimuli or feedback; (b) the changes of neuromodulatory systems (e.g., the governance of aminergic neurochemicals and the weakness of cholinergic neurochemicals); (c) the bombardment of PGO wave to the visual cortex; and (d) the changes of neural activity in brain (e.g., the activation of limbic system and the reduction of prefrontal regions). In this situation, the brain could focus on the internal world and integrate various psychological and physiological changes into dream content (Kahn et al., 2002, 2000). However, self-organization mechanism could not determine which memories will be activated and incorporated into dream content (Kahn, 2013), although it provides an approach how an ordered structure, behavior or pattern spontaneously emerges from the interaction between components or subsystems without an e... (shrink)

The notion that human associative learning is a usually conscious, higher-order process is one of the tenets of organization theory, developed over the past century. Propositional/sequential encoding is one of the possible types of organizational structures, but learning may also involve other structures.

The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in various domains in science and philosophy including physics, neuroscience, biology and medicine, ecology, and sociology. While system architecture and their general purpose may depend on domain-specific concepts and definitions, there are (at least) seven key properties of self-organization clearly identified in brain systems: 1) modular connectivity, 2) unsupervised learning, 3) adaptive ability, 4) functional resiliency, (...) 5) functional plasticity, 6) from-local-to-global functional organization, and 7) dynamic system growth. These are defined here in the light of insight from neurobiology, cognitive neuroscience and Adaptive Resonance Theory (ART), and physics to show that self-organization achieves stability and functional plasticity while minimizing structural system complexity. A specific example informed by empirical research is discussed to illustrate how modularity, adaptive learning, and dynamic network growth enable stable yet plastic somatosensory representation for human grip force control. Implications for the design of “strong” artificial intelligence in robotics are brought forward. (shrink)

This review evaluates pros and cons of the schema theory as a general framework for expressing what Arbib et al. call “systems neuroscience.” We discuss the software/hardware duality of the schema concept and the relative neglect of the mechanical properties of muscles. We propose a computational alternative to the functional decomposition in terms of schemas.

Cognitive functions are directly related to interactions between the brain's functional networks. This functional organization changes in the autism spectrum disorder (ASD). However, the heterogeneous nature of autism brings inconsistency in the findings, and specific pattern of changes based on the cognitive theories of ASD still requires to be well-understood. In this study, we hypothesized that the theory of mind (ToM), and the weak central coherence theory must follow an alteration pattern in the network level of (...) functional interactions. The main aim is to understand this pattern by evaluating interactions between all the brain functional networks. Moreover, the association between the significantly altered interactions and cognitive dysfunctions in autism is also investigated. We used resting-state fMRI data of 106 subjects (5–14 years, 46 ASD: five female, 60 HC: 18 female) to define the brain functional networks. Functional networks were calculated by applying four parcellation masks and their interactions were estimated using Pearson's correlation between pairs of them. Subsequently, for each mask, a graph was formed based on the connectome of interactions. Then, the local and global parameters of the graph were calculated. Finally, statistical analysis was performed using a two-sample t-test to highlight the significant differences between autistic and healthy control groups. Our corrected results show significant changes in the interaction of default mode, sensorimotor, visuospatial, visual, and language networks with other functional networks that can support the main cognitive theories of autism. We hope this finding sheds light on a better understanding of the neural underpinning of autism. (shrink)

Open peer commentary on the article “Exploration of the Functional Properties of Interaction: Computer Models and Pointers for Theory” by Etienne B. Roesch, Matthew Spencer, Slawomir J. Nasuto, Thomas Tanay & J. Mark Bishop. Upshot: Artificial life computer simulations hold the potential for demonstrating the kinds of bottom-up, cooperative, self-organizing processes that underlie the self-construction of observer-actors. This is a worthwhile, if limited, attempt to use such simulations to address this set of core constructivist concerns. Although we concur with (...) much of the philosophical perspective in the target article, we take issue with some of the implied positions related to dynamical systems, sensorimotor contingency theory, and neural information processing. Ideally, we would like to see computational approaches more directly address adaptive, constructive processes and mechanisms operant in minds and brains. This would entail using tasks that are more relevant to the psychology of human and animal learning than performing digit sums or sorts. It also could involve relating the dynamics of agents more explicitly to ensembles of communicating neural assemblies. (shrink)

The idea that intelligence is embedded not only in a single brain network, but instead in a complex, well-optimized system of complementary networks, has led to the development of whole brain network analysis. Using graph theory to analyze resting-state functional MRI data, we investigated the brain graph networks (or brain networks) of high intelligence quotient (HIQ) children. To this end, we computed the “hub disruption index κ”, an index sensitive to graph network modifications. We found (...) significant topological differences in the integration and segregation properties of brain networks in HIQ compared to standard IQ children, not only for the whole brain graph, but also for each hemispheric graph, and for the homotopic connectivity. Moreover, two profiles of HIQ children, homogenous and heterogeneous, based on the differences between the two main IQ subscales (verbal comprehension index (VCI) and perceptual reasoning index (PRI)), were compared. Brain networks changes were more pronounced in the heterogeneous HIQ than in the homogeneous HIQ subgroups. Finally, we found significant correlations between the graph networks’ changes and the full-scale IQ (FSIQ), as well as the subscales VCI and PRI. Specifically, the higher the FSIQ the greater was the brain organization modification in the whole brain, the left hemisphere, and the homotopic connectivity. These results shed new light on the relation between functional connectivity topology and high intelligence, as well as on different intelligence profiles. (shrink)

ArgumentThis essay considers the metaphors of projection in Hugo Münsterberg's theory of cinema spectatorship. Münsterberg (1863–1916), a German born and educated professor of psychology at Harvard University, turned his attention to cinema only a few years before his untimely death at the age of fifty-three. But he brought to the new medium certain lasting preoccupations. This account begins with the contention that Münsterberg's intervention in the cinema discussion pursued his well-established strategy of pitting a laboratory model against a clinical (...) one, in this case the “master-trope” of early cinema a spectatorship drawn from hysteria, hypnosis, and related phenomena like double-consciousness. Münsterberg's laboratory-oriented account also flowed from his account of cinema technology as an outgrowth of the apparatus of his own discipline of experimental psycho-physiology, which entailed a model of cinema spectatorship continuous with the epistemological setting of laboratory relations. I argue that inThe Photoplayand related writings projection functioned in three registers: material, psychological, and philosophical. Münsterberg's primary concern was with psychological projection, where he drew upon his own work in experimental aesthetics to articulate an account of how the basic automatisms of cinema produce a state of oscillation between immersion and distraction. I show how Münsterberg's experimental aesthetics drew upon German doctrines of aesthetic empathy, orEinfühlung, which Münsterberg sought to modify in accordance with the dynamic and temporal characteristics of psycho-physiological experiment. Finally, I argue that Münsterberg's cinema theory was enfolded in his action or double-standpoint theory, in which the transcendental self posits the material, objective conditions of laboratory experience as a means to know itself. This philosophical projection explained cinema's uncanny ability to suspend ordinary perceptions of space, time, and causality. It also made cinema uniquely suited for the philosophical emancipation of a popular mass audience. (shrink)

Galatea, or the Future of Darwinism W Russell Brain Originally published in 1927 "A brilliant exposition…of the evolutionary hypothesis." The Guardian "Should prove invaluable…" Literary Guide This non-technical but closely-reasoned book is a challenge to the orthodox teaching on evolution known as Neo-Darwinism. The author claims that although Neo-Darwinian theories can possibly account for the evolution of forms, they are quite inadequate to explain the evolution of functions. 88pp ************** Daedalus or Science and the Future J B S Haldane (...) Originally published in 1924. "The essay is brilliant. Sparkling with wit and bristling with challenges." British Medical Journal "Predicts the most startling changes." Morning Post This volume examines the future of scientific research from religious, philosophical social and economic standpoints. 94pp Automaton, or the Future of Mechanical Man H Stafford Hatfield Originally published in 1928 "It is impossible to do justice to his volume in a brief review…"Daily Herald At the time of original publication mankind’s chief inventions had been extensions of his senses or limbs. This work prophesies the dawn of an era in which substitutes will gradually be found even for the human brain. 96pp Gallio or the Tyranny of Science J W N Sullivan Originally published in 1927 "So packed with ideas it is not possible to give any adequate résumé of its contents." Times Literary Supplement "Remarkable monograph…devastating summary of materialism…" Spectator An attack on the values which science is so successfully imposing upon civilization. 90pp. (shrink)

This article critiques contemporary feminist theory's frequent ocularcentric readings of the anorexic body as a surface of cultural inscription or as a paradigmatic sign of the female body's alienation through sexual difference. In an initial speculative attempt to find a theoretical framework that might sustain a more generative and embodied account of anorexia, I read anorexia through Butler's theory of gender as psychic `incorporation' because she problematizes an interior/exterior topography of the subject. This Butlerian framework proves problematic because, (...) by establishing an association between visibly queer gender and subversion, it effectively designates as hegemonic any sense of gender as a felt interiority. In a second framework, I draw on Prosser's anti-ocularcentric reading of transsexual `body narratives' derived from Anzieu's theory of the `skin ego'. Filtering Butler's theory of melancholia through this skin ego framework, I find a theoretical space for anorexia as a transitional embodied subjectivity which both re-lives and relieves the melancholic trauma of gender. (shrink)

To explain consciousness as a physical process we must acknowledge the role energy plays in the brain. Energetic activity is fundamental to all physical processes and causally drives biological behaviour. Recent neuroscientific evidence can be interpreted in a way that suggests consciousness is a product of the organization of energetic activity in the brain. The nature of energy itself, though, remains largely mysterious, and we do not fully understand how it contributes to brain function or consciousness. (...) According to the prin-ciple outlined here, energy, along with forces and work, can be described in terms of actu-alized differences of motion and tension. By observing physical systems, we can infer there is something it is like to undergo states of actualized difference from the intrinsic perspective of the system. Consciousness occurs because there is something it is like, in-trinsically, to undergo a certain organization of actualized differences in the brain. (shrink)

Previous work employing graph theory and nonlinear analysis has found increased spatial and temporal disorder, respectively, of functional brain connectivity in schizophrenia. We present a new method combining graph theory and nonlinear techniques that measures the temporal disorder of functional brain connections. Multichannel electroencephalographic data were windowed and functional networks were reconstructed using the minimum spanning trees of correlation matrices. Using a method based on Shannon entropy, we found elevated connection entropy in gamma activity of patients (...) with schizophrenia; however, gamma connection entropy remained elevated in patients with schizophrenia even after a reduction in symptoms due to treatment with antipsychotics. Our results are consistent with several possibilities: aberrant functional connectivity is epiphenomenal to schizophrenia, aberrant functional connectivity is a central feature but antipsychotics reduce symptoms by an independent mechanism, or connection entropy is not an appropriately sensitive measure of brain abnormalities in schizophrenia. (shrink)

The world of work is being changed at an unprecedented rate as a result of the rise of the Fourth Industrial Revolution. This rate of change was accelerated by the COVID-19 pandemic, which left organizations and their leadership to deal with myriad of challenges. These changes also impacted leaders’ identities in their work and their roles in their organizations. We examine how leaders responded to the various workplace challenges presented by the COVID-19 pandemic and what this meant for their work (...) identities as leaders. To do this, we made use of role identity theory, social identity theory, and leader identity. A qualitative study was conducted with a group of eight senior leaders from various South African and global organizations who had between five and 10 years’ work experience, and some had even more. Data were collected through semi-structured interviews, conducted virtually and in person. Thematic analysis was used to analyze the data. The main finding that emerged from the research was that leaders employed virtual leadership to ensure that customers’ expectations were met, and to manage team-and organizational performance. These leaders achieved this by fostering a digital culture and building effective teams. They achieved their leadership goals by ensuring social identity continuity amongst their teams. This required them taking on extra roles, such as strategist, technology expert, entrepreneur, coach, mentor, and member of the team. Their leader role identity, as part of their work identity, was amplified by the pandemic. The implication is that organizations should develop leadership development programs to increase and strengthen leader identities to capacitate them for times of crisis. (shrink)

In this paper, we set out to develop a theoretical and conceptual framework for the new field of Radical Embodied Cognitive Neuroscience. This framework should be able to integrate insights from several relevant disciplines: theory on embodied cognition, ecological psychology, phenomenology, dynamical systems theory, and neurodynamics. We suggest that the main task of Radical Embodied Cognitive Neuroscience is to investigate the phenomenon of skilled intentionality from the perspective of the self-organization of the brain-body-environment system, while doing (...) justice to the phenomenology of skilled action. In previous work, we have characterized skilled intentionality as the organism's tendency toward an optimal grip on multiple relevant affordances simultaneously. Affordances are possibilities for action provided by the environment. In the first part of this paper, we introduce the notion of skilled intentionality and the phenomenon of responsiveness to a field of relevant affordances. Second, we use Friston's work on neurodynamics, but embed a very minimal version of his Free Energy Principle in the ecological niche of the animal. Thus amended, this principle is helpful for understanding the embeddedness of neurodynamics within the dynamics of the system “brain-body-landscape of affordances.” Next, we show how we can use this adjusted principle to understand the neurodynamics of selective openness to the environment: interacting action-readiness patterns at multiple timescales contribute to the organism's selective openness to relevant affordances. In the final part of the paper, we emphasize the important role of metastable dynamics in both the brain and the brain-body-environment system for adequate affordance-responsiveness. We exemplify our integrative approach by presenting research on the impact of Deep Brain Stimulation on affordance responsiveness of OCD patients. (shrink)

An emerging class of theories concerning the functional structure of the brain takes the reuse of neural circuitry for various cognitive purposes to be a central organizational principle. According to these theories, it is quite common for neural circuits established for one purpose to be exapted (exploited, recycled, redeployed) during evolution or normal development, and be put to different uses, often without losing their original functions. Neural reuse theories thus differ from the usual understanding of the role of neural (...) plasticity (which is, after all, a kind of reuse) in brain organization along the following lines: According to neural reuse, circuits can continue to acquire new uses after an initial or original function is established; the acquisition of new uses need not involve unusual circumstances such as injury or loss of established function; and the acquisition of a new use need not involve (much) local change to circuit structure (e.g., it might involve only the establishment of functional connections to new neural partners). Thus, neural reuse theories offer a distinct perspective on several topics of general interest, such as: the evolution and development of the brain, including (for instance) the evolutionary-developmental pathway supporting primate tool use and human language; the degree of modularity in brain organization; the degree of localization of cognitive function; and the cortical parcellation problem and the prospects (and proper methods to employ) for function to structure mapping. The idea also has some practical implications in the areas of rehabilitative medicine and machine interface design. (shrink)

In contemporary human brain mapping, it is commonly assumed that the “mind is what the brain does”. Based on that assumption, task-based imaging studies of the last three decades measured differences in brain activity that are thought to reflect the exercise of human mental capacities (e.g., perception, attention, memory). With the advancement of resting state studies, tractography and graph theory in the last decade, however, it became possible to study human brain connectivity without relying on (...) cognitive tasks or constructs. It therefore is currently an open question whether the assumption that “the mind is what the brain does” is an indispensable working hypothesis in human brain mapping. This paper argues that the hypothesis is, in fact, dispensable. If it is dropped, researchers can “meet the brain on its own terms” by searching for new, more adequate concepts to describe human brain organization. Neuroscientists can establish such concepts by conducting exploratory experiments that do not test particular cognitive hypotheses. The paper provides a systematic account of exploratory neuroscientific research that would allow researchers to form new concepts and formulate general principles of brain connectivity, and to combine connectivity studies with manipulation methods to identify neural entities in the brain. These research strategies would be most fruitful if applied to the mesoscopic scale of neuronal assemblies, since the organizational principles at this scale are currently largely unknown. This could help researchers to link microscopic and macroscopic evidence to provide a more comprehensive understanding of the human brain. The paper concludes by comparing this account of exploratory neuroscientific experiments to recent proposals for large-scale, discovery-based studies of human brain connectivity. (shrink)

The relationship between brain and mind has been extensively explored through the developments within neuroscience over the last decade. However, the ontological status of mind has remained fairly problematic due to the inability to explain all features of the mind through the brain. This inability has been considered largely due to partial knowledge of the brain. It is claimed that once we gain complete knowledge of the brain, all features of the mind would be explained adequately. (...) However, a challenge to such a position is downward causation: How do we explain the causal power that mental states exert over brain activities? If we agree that downward causation occurs, then to what extent could a sole explanation of brain activities account for our behaviour? (For they would in themselves be conditioned by the mental states which are left unexplained). This dissertation is an attempt to understand relation between brain and mind through the concept of emergence, placed in the context of complex systems approach. This will create a space to account for the causal power of mental states. The complex systems approach says that as the complexity of a system increases, we witness the emergence of novel qualities and after a certain threshold (of complexity), the emergence of a novel structure. When the body (and correspondingly, brain) reaches a certain level of complexity, the mind emerges. The brain is a complex system from which the mind emerges. The brain, consisting of billions of neurons interacting with each other, regulates the body placed in the environment. The interaction of neurons (local interactions involving self-organization) result in dynamical brain signatures (global synergy). Such signatures are correlative to mental states. Mind is the process of a living organism embodying an intentional stance. This object could be the subject itself or another distinct from the subject. With the emergence of mind, the causal powers of brain are conditioned by the mind. Such a conditioning is evident through the causal efficacy of mental states. While the brain is minimal condition for the mind to emerge, the mind in itself is embedded (showcased/explicated/manifested) throughout the body. The mind is a process that belongs to body-as-a-whole with the novel quality of intentionality. A preliminary to understanding this relation is its metaphysical inclination. A large portion of the history of philosophy of mind has advocated a metaphysics of entities where the mind and body have been seen as two entities with distinct essences. However, such attribution of entity-ship does not take into account the processual nature of these existents (that they are essentially dependent on their environment for their existence and sustenance). Thus, the category of processual unity has been introduced which sought to account for existent as emergent wholes that move towards a stable equilibrium through self-organization. By considering existents to be processual unities, we can account for their identity as a whole-in-itself (what has been called organizational closure) and also for their processual nature. The brain is a component of the body which is a complex system and is representative of the body’s stance in the world. The brain, consisting of billions of neurons interacting with each other, regulates the body placed in the environment. The interaction of neurons (local interactions involving self-organization) result in dynamical brain signatures (global synergy). Such signatures are correlative to mental states. These mental states in turn condition the brain patterns, that allows the embodying of mental states. Thus, the three-way process of the representation of body in the world by the brain, the emergence of mental state through dynamic brain patterns and the reciprocal causal power on the brain patterns by the mental states marks embodiment. The relation between brain, body and mind can be outlined as follows: A. There are complex interactions in the brain. These interactions are representative of the body’s stance in the world and are present in form of dynamical brain signatures. B. The dynamical brain signatures lead to emergence of mind as a process. The mental state has causal power which conditions the brain. C. The brain conditioned by causal power of the mind carries out embodiment of the mind throughout the body. In the dissertation, an exposition on relation between brain and mind through complex system approach is followed by a brief on relation between body and mind. The radical embodiment approach adopts the nonlinear dynamic systems theory to understand relation of brain, body and mind. It states a shift from mapping of cognitive states onto Neural Correlates of Consciousness to their mapping through dynamic brain signatures. Every mental state is embedded throughout the body. The dissertation explores the three features of consciousness, intentionality and qualia. These have previously formed a challenge within a dualistic framework and the dissertation intends to show a direction in which they can be accounted for, within the complex systems approach and radical embodiment viewpoint. After a certain threshold of the rate of production of cell assemblies is bypassed, we become conscious of the representation itself. This leads to emergence of phenomenal states. Qualia is the qualitative character of such states, which belong to the body-as-a-whole and for this reason, cannot be reduced to properties of any of the components from which it emerges (the dynamic brain signatures) or in which it is embodied (the body and its individual parts) alone. Intentionality is the novel property of mind of moving towards a certain set of attractors where attractors refer to the states that the system prefers (which would positively contribute to its fitness). The scope of this dissertation is to delineate the relation of brain to the mind and unravel some persistent troubles of philosophy of mind within such delineation. The types of components and their relation within the mind preceded by a thorough study of how the mind is embodied is an area yet to be extensively explored in the coming works. (shrink)

The paper develops two related thought experiments exploring variations on an ‘animat’ theme. Animats are hybrid devices with both artificial and biological components. Traditionally, ‘components’ have been construed in concrete terms, as physical parts or constituent material structures. Many fascinating issues arise within this context of hybrid physical organization. However, within the context of functional/computational theories of mentality, demarcations based purely on material structure are unduly narrow. It is abstract functional structure which does the key work in characterizing the (...) respective ‘components’ of thinking systems, while the ‘stuff’ of material implementation is of secondary importance. Thus the paper extends the received animat paradigm, and investigates some intriguing consequences of expanding the conception of bio-machine hybrids to include abstract functional and semantic structure. In particular, the thought experiments consider cases of mind-machine merger where there is no physical Brain-Machine Interface: indeed, the material human body and brain have been removed from the picture altogether. The first experiment illustrates some intrinsic theoretical difficulties in attempting to replicate the human mind in an alternative material medium, while the second reveals some deep conceptual problems in attempting to create a form of truly Artificial General Intelligence. (shrink)

The human brain has long been misunderstood in its features. It is up to neuroscience to have shown that all its activities are connected, and understand each other only in this relationship between its different instances. To ascend, to merge, to connect are the basis of the organization of our psyche, including in its most elaborate symbolic productions. This is precisely the system highlighted by the Anthropological Structures of the Imaginary by Gilbert Durand, brilliant precursor.

Contrary to received opinion among philosophers, psychologists, and neuroscientists, conscious duality as a principle of brain organization is neither incoherent nor demonstrably false. The present paper begins by reviewing the history of the theory and its anatomical basis and defending it against the claim that it rests upon an arbitrary decision as to what constitutes the biological substratum of mind or person.

The article begins at the intellectual fissure between many statements coming from neuroscience and the language of faith and theology. First I show that some conclusions drawn from neuroscientific research are not as firm as they seem: neuroscientific data leave room for the interpretation that mind matters. I then take a philosophical-theological look at the notions of soul, self, and freedom, also in the light of modern scientific research (self-organization, neuronal networks), and present a view in which these theologically (...) important notions are seen in relation both to matter (brain) and to God. I show that religious insights expressed with soul and free will bear a remarkable resemblance to certain insights from neuroscience and the science of complex, self-organizing systems, including emphasis on corporeality and emphasis on organization as a form of that corporeality, and that they also show an interesting parallel --- albeit described in different terms --- concerning the crucial role of a valuation principle that generates attraction. With that, the common-sense idea that freedom simply is the same as indeterminism is refuted: freedom primarily means self-determination. I bring to the fore that the self is not a static thing but a “longing.‘ Such longing springs from something, and it is the relationship to this source that constitutes the self. The main concern is to point out the crucial role of attraction with respect to being and to life, and to draw attention not only to the astonishing parallel on this point between Thomas Aquinas and Alfred North Whitehead but also to a surprising --- albeit more implicit --- analogy between these philosophical-theological views and scientific theories of self-organization (such as those concerning neuronal networks). In short, being attracted toward what appears as “good‘ is what constitutes us as selves and what thereby signifies the primary meaning of our freedom. (shrink)

This commentary explores a number of issues raised by Hurlburt and Schwitzgebel in 'Describing Inner Experience'. The commentary argues for expanding the definition of mental imag-ery, by which it is a virtually universal human attribute; reintroduces a theory of response organization, the meaning complex, to conceptu-alize unsymbolized thinking; draws on work with Guided Affective Imagery to comment on the fragility versus robustness of mental imagery; comments on the virtues and probable flaws of Descriptive Experience Sampling , including an (...) evolutionary explanation of the flaws; and describes a pair of alternatives to DES: idiothetic experience sampling in which rating scales immediately follow the narrative reports, in place of delayed interviews, and the growing promise of coupling experience sampling with brain imaging. (shrink)

Mechanist philosophers have examined several strategies scientists use for discovering causal mechanisms in neuroscience. Findings about the anatomical organization of the brain play a central role in several such strategies. Little attention has been paid, however, to the use of network analysis and causal modeling techniques for mechanism discovery. In particular, mechanist philosophers have not explored whether and how these strategies incorporate information about the anatomical organization of the brain. This paper clarifies these issues in the (...) light of the distinction between structural, functional and effective connectivity. Specifically, we examine two quantitative strategies currently used for causal discovery from functional neuroimaging data: dynamic causal modeling and probabilistic graphical modeling. We show that dynamic causal modeling uses findings about the brain’s anatomical organization to improve the statistical estimation of parameters in an already specified causal model of the target brain mechanism. Probabilistic graphical modeling, in contrast, makes no appeal to the brain’s anatomical organization, but lays bare the conditions under which correlational data suffice to license reliable inferences about the causal organization of a target brain mechanism. The question of whether findings about the anatomical organization of the brain can and should constrain the inference of causal networks remains open, but we show how the tools supplied by graphical modeling methods help to address it. (shrink)

Neural organization: Structure, function, and dynamics shows how theory and experiment can supplement each other in an integrated, evolving account of the brain's structure, function, and dynamics. (1) Structure: Studies of brain function and dynamics build on and contribute to an understanding of many brain regions, the neural circuits that constitute them, and their spatial relations. We emphasize Szentágothai's modular architectonics principle, but also stress the importance of the microcomplexes of cerebellar circuitry and the lamellae (...) of hippocampus. (2) Function: Control of eye movements, reaching and grasping, cognitive maps, and the roles of vision receive a functional decomposition in terms of schemas. Hypotheses as to how each schema is implemented through the interaction of specific brain regions provide the basis for modeling the overall function by neural networks constrained by neural data. Synthetic PET integrates modeling of primate circuitry with data from human brain imaging. (3) Dynamics: Dynamic system theory analyzes spatiotemporal neural phenomena, such as oscillatory and chaotic activity in both single neurons and (often synchronized) neural networks, the self-organizing development and plasticity of ordered neural structures, and learning and memory phenomena associated with synaptic modification. Rhythm generation involves multiple levels of analysis, from intrinsic cellular processes to loops involving multiple brain regions. A variety of rhythms are related to memory functions. The Précis presents a multifaceted case study of the hippocampus. We conclude with the claim that language and other cognitive processes can be fruitfully studied within the framework of neural organization that the authors have charted with John Szentágothai. Key Words: cognitive maps; computational neuroscience; dynamics; hippocampus; memory; modular architectonics; neural modeling; neural organization; neural plasticity; rhythmogenesis; Szentágothai. (shrink)

In this paper, we argue for a theoretical separation of the free-energy principle from Helmholtzian accounts of the predictive brain. The free-energy principle is a theoretical framework capturing the imperative for biological self-organization in information-theoretic terms. The free-energy principle has typically been connected with a Bayesian theory of predictive coding, and the latter is often taken to support a Helmholtzian theory of perception as unconscious inference. If our interpretation is right, however, a Helmholtzian view of perception (...) is incompatible with Bayesian predictive coding under the free-energy principle. We argue that the free energy principle and the ecological and enactive approach to mind and life make for a much happier marriage of ideas. We make our argument based on three points. First we argue that the free energy principle applies to the whole animal–environment system, and not only to the brain. Second, we show that active inference, as understood by the free-energy principle, is incompatible with unconscious inference understood as analagous to scientific hypothesis-testing, the main tenet of a Helmholtzian view of perception. Third, we argue that the notion of inference at work in Bayesian predictive coding under the free-energy principle is too weak to support a Helmholtzian theory of perception. Taken together these points imply that the free energy principle is best understood in ecological and enactive terms set out in this paper. (shrink)

Revonsuo argues that current brain imaging methods do not allow us to ‘discover’ consciousness. While all observational methods in science have limitations, consciousness is such a massive and pervasive phenomenon that we cannot fail to observe its effects at every level of brain organization: molecular, cellular, electrical, anatomical, metabolic, and even the ‘higher levels of electrophysiological organization that are crucial for the empirical discovery and theoretical explanation of consciousness’ . Indeed, the first major discovery in that (...) respect was Hans Berger's finding that scalp EEG is massively different between waking and deep sleep, already seven decades ago. We now have perhaps a dozen sophisticated methods for monitoring consciousness-related activity at multiple levels of brain observation. Theoretical progress has come quite rapidly. Recently, E.R. John and colleagues have made fundamental findings using Quantitative EEG, showing consistent brainwide changes as a result of several types of general anaesthetics . John has proposed a neuronal ‘field theory’ to account for those results. Another promising new method involves frequency-tagging of competing stimuli, allowing us to follow the activity of billions of neurons synchronized to particular conscious stimuli, always compared to very similar unconscious input . A fundamental theoretical account of such results has been provided by Tononi & Edelman . Such results and theory are in broad agreement with the cognitive theory proposed by Baars. (shrink)

The relationship of consciousness to brain, which Schopenhauer grandly referred to as the "world knot," remains an unsolved problem within both philosophy and science. The central focus in what follows is the relevance of science---from psychoanalysis to neurophysiology and quantum physics-to the mind-brain puzzle. Many would argue that we have advanced little since the age of the Greek philosophers, and that the extraordinary accumulation of neuroscientific knowledge in this century has helped not at all. Increas- ingly, philosophers and (...) scientists have tended to go their separate ways in considering the issues, since they tend to differ in the questions that they ask, the data and ideas which are provided for consideration, their methods for answering these questions, and criteria for judging the acceptability of an answer. But it is our conviction that philosophers and scientists can usefully interchange, at least to the extent that they provide co~straints upon each other’s preferred strategies, and it may prove possible for more substantive progress to be made. Philosophers have said some rather naive things by ignoring the extraordinary advances in the neurosciences in the twentieth century. The skull is not filled with green cheese! On the other hand, the arrogance of many scientists toward philosophy and their faith in the scientific method is equally naive. Scientists clearly have much to learn from philosophy as an intellectual discipline. Manifestations of Mind: Some Conceptual and Empirical Issues Walter B. Weimer Pages 5-31 The Mysterious “Split‘: A Clinical Inquiry into Problems of Consciousness and Brain Peter H. Knapp Pages 37-69 Mind, Brain, and the Symbolic Consciousness Irwin Savodnik Pages 73-98 Brain and Free Will John C. Eccles Pages 101-121 An Old Ghost in a New Body C. Wade Savage Pages 125-153 How Dogmatic Can Materialism Be? John C. Eccles Pages 155-160 Mental Phenomena as Causal Determinants in Brain Function R. W. Sperry Pages 163-177 Consciousness as an Emergent Causal Agent in the Context of Control System Theory E. M. Dewan Pages 181-198 Reductionism, Levels of Organization, and the Mind-Body Problem William C. Wimsatt Pages 205-267 Mind, Structure, and Contradiction Gordon G. Globus Pages 271-293 Problems Concerning the Structure of Consciousness Karl H. Pribram Pages 297-313 The Role of Scientific Results in Theories of Mind and Brain: A Conversation among Philosophers and Scientists E. M. Dewan, John C. Eccles, Gordon G. Globus, Keith Gunderson, Peter H. Knapp, Grover Maxwell et al. Pages 317-328 Scientific Results and the Mind-Brain Issue: Some Afterthoughts Grover Maxwell Pages 329-358. (shrink)

ObjectiveTo explore alterations in white matter network topology in de novo Parkinson's disease patients with rapid eye movement sleep behavior disorder.Materials and MethodsThis study included 171 de novo PD patients and 73 healthy controls recruited from the Parkinson's Progression Markers Initiative database. The patients were divided into two groups, PD with probable RBD and PD without probable RBD, according to the RBD screening questionnaire. Individual structural network of brain was constructed based on deterministic fiber tracking and analyses were performed (...) using graph theory. Differences in global and nodal topological properties were analyzed among the three groups. After that, post hoc analyses were performed to explore further differences. Finally, correlations between significant different properties and RBDSQ scores were analyzed in PD-pRBD group.ResultsAll three groups presented small-world organization. PD-pRBD patients exhibited diminished global efficiency and increased shortest path length compared with PD-npRBD patients and HCs. In nodal property analyses, compared with HCs, the brain regions of the PD-pRBD group with changed nodal efficiency were widely distributed mainly in neocortical and paralimbic regions. While compared with PD-npRBD group, only increased Ne in right insula, left middle frontal gyrus, and decreased Ne in left temporal pole were discovered. In addition, significant correlations between Ne in related brain regions and RDBSQ scores were detected in PD-pRBD patients.ConclusionsPD-pRBD patients showed disrupted topological organization of white matter in the whole brain. The altered Ne of right insula, left temporal pole and left middle frontal gyrus may play a key role in the pathogenesis of PD-RBD. (shrink)

Altered state theories of hypnosis posit that a qualitatively distinct state of mental processing, which emerges in those with high hypnotic susceptibility following a hypnotic induction, enables the generation of anomalous experiences in response to specific hypnotic suggestions. If so then such a state should be observable as a discrete pattern of changes to functional connectivity (shared information) between brain regions following a hypnotic induction in high but not low hypnotically susceptible participants. Twenty-eight channel EEG was recorded from 12 (...) high susceptible (highs) and 11 low susceptible (lows) participants with their eyes closed prior to and following a standard hypnotic induction. The EEG was used to provide a measure of functional connectivity using both coherence (COH) and the imaginary component of coherence (iCOH), which is insensitive to the effects of volume conduction. COH and iCOH were calculated between all electrode pairs for the frequency bands: delta (0.1–3.9Hz), theta (4–7.9Hz) alpha (8–12.9Hz), beta1 (13–19.9Hz), beta2 (20–29.9Hz) and gamma (30–45Hz). The results showed that there was an increase in theta iCOH from the pre-hypnosis to hypnosis condition in highs but not lows with a large proportion of significant links being focused on a central-parietal hub. There was also a decrease in beta1 iCOH from the pre-hypnosis to hypnosis condition with a focus on a fronto-central and an occipital hub that was greater in high compared to low susceptibles. There were no significant differences for COH or for spectral band amplitude in any frequency band. The results are interpreted as indicating that the hypnotic induction elicited a qualitative change in the organization of specific control systems within the brain for high as compared to low susceptible participants. This change in the functional organization of neural networks is a plausible indicator of the much theorized “hypnotic-state”. (shrink)

Preparing words in speech production is normally a fast and accurate process. We generate them two or three per second in fluent conversation; and overtly naming a clear picture of an object can easily be initiated within 600 msec after picture onset. The underlying process, however, is exceedingly complex. The theory reviewed in this target article analyzes this process as staged and feedforward. After a first stage of conceptual preparation, word generation proceeds through lexical selection, morphological and phonological encoding, (...) phonetic encoding, and articulation itself. In addition, the speaker exerts some degree of output control, by monitoring of self-produced internal and overt speech. The core of the theory, ranging from lexical selection to the initiation of phonetic encoding, is captured in a computational model, called WEAVER++. Both the theory and the computational model have been developed in interaction with reaction time experiments, particularly in picture naming or related word production paradigms, with the aim of accounting for the real-time processing in normal word production. A comprehensive review of theory, model, and experiments is presented. The model can handle some of the main observations in the domain of speech errors (the major empirical domain for most other theories of lexical access), and the theory opens new ways of approaching the cerebral organization of speech production by way of high-temporal-resolution imaging. (shrink)

The rediscovery of the sacred needs to take into account the neural underpinnings of faith and meaning and also draw on the insights of the emerging discipline of complexity studies, which explore a tendency toward adaptive self‐organization that seemingly is inherent in the universe. Both neuroscience and complexity studies contribute to our understanding of the brain's activity as it transforms raw stimuli into recognizable patterns, and thus “humanizes” all our perceptions and understandings. The brain is our physical (...) anchor in the natural environment—and its human capacities orbit us into the emerging world of culture (including religion), which provides a template for the brain's function of making sense of an ambiguous reality. The humanizing brain holds together scientific causality and religious meaning, working both bottom‐up (linking the physical and the experiential) and top‐down (beginning with the whole of things, or God). These processes we know as “mind” (experienced as intentionality, subjective consciousness, empathy, imagination, memory, adaptability). We maintain that such processes are not only subjective but built into “the way things really are.” Thus, they carry the most privileged information about the nature of reality to which we human beings have access. For not only are we humans observers and logicians, but we are embedded in the larger reality; and as we strive to make sense of it all, we become both Homo sapiens and Homo religiosus. (shrink)

This book is a state-of-the-art review on the Physics of Emergence. Foreword v Gregory J. Chaitin Preface vii Ignazio Licata Emergence and Computation at the Edge of Classical and Quantum Systems 1 Ignazio Licata Gauge Generalized Principle for Complex Systems 27 Germano Resconi Undoing Quantum Measurement: Novel Twists to the Physical Account of Time 61 Avshalom C. Elitzur and Shahar Dolev Process Physics: Quantum Theories as Models of Complexity 77 Kirsty Kitto A Cross-disciplinary Framework for the Description of Contextually Mediated (...) Change 109 Liane Gabora and Diederik Aerts Quantum-like Probabilistic Models Outside Physics 135 Andrei Khrennikov Phase Transitions in Biological Matter 165 Eliano Pessa Microcosm to Macrocosm via the Notion of a Sheaf (Observers in Terms of t-topos) 229 Goro Kato The Dissipative Quantum Model of Brain and Laboratory Observations 233 Walter J. Freeman and Giuseppe Vitiello Supersymmetric Methods in the Traveling Variable: Inside Neurons and at the Brain Scale 253 H.C. Rosu, O. Cornejo-Perez, and J.E. Perez-Terrazas Turing Systems: A General Model for Complex Patterns in Nature 267 R.A. Barrio Primordial Evolution in the Finitary Process Soup 297 Olof Gornerup and James P. Crutchfield Emergence of Universe from a Quantum Network 313 Paola A. Zizzi Occam's Razor Revisited: Simplicity vs. Complexity in Biology 327 Joseph P. Zbilut Order in the Nothing: Autopoiesis and the Organizational Characterization of the Living 339 Leonardo Bich and Luisa Damiano Anticipation in Biological and Cognitive Systems: The Need for a Physical Theory of Biological Organization 371 Graziano Terenzi How Uncertain is Uncertainty? 389 Tibor Vamos Archetypes, Causal Description and Creativity in Natural World 405 Leonardo Chiatti . (shrink)

Complex system studies are a growing area of central importance to a wide range of disciplines, ranging from physics to politics and beyond. Adopting this interdisciplinary approach, Systems, Self-Organisation and Information presents and discusses a range of ground-breaking research in complex systems theory. Building upon foundational concepts, the volume introduces a theory of Self-Organization, providing definitions of concepts including system, structure, organization, functionality, and boundary. Biophysical and cognitive approaches to Self-Organization are also covered, discussing the (...) complex dynamics of living beings and the brain, and self-organized adaptation and learning in computational systems. The convergence of Peircean philosophy with the study of Self-Organization also provides an original pathway of research, which contributes to a dialogue between pragmatism, semeiotics, complexity theory, and self-organizing systems. As one of the few interdisciplinary works on systems theory, relating Self-Organization and Information Theory, Systems, Self-Organisation and Information is an invaluable resource for researchers and postgraduate students interested in complex systems theory from related disciplines including philosophy, physics, and engineering. (shrink)

The use of the computer metaphor has led to the proposal of mind architecture (Pylyshyn 1984; Newell 1990) as a model of the organization of the mind. The dualist computational model, however, has, since the earliest days of psychological functionalism, required that the concepts mind architecture and brain architecture be remote from each other. The development of both connectionism and neurocomputational science, has sought to dispense with this dualism and provide general models of consciousness – a uniform cognitive (...) architecture –, which is in general reductionist, but which retains the computer metaphor. This paper examines, in the first place, the concepts of mind architecture and brain architecture, in order to evaluate the syntheses which have recently been offered. It then moves on to show how modifications which have been made to classical functionalist mind architectures, with the aim of making them compatible with brain architectures, are unable to resolve some of the most serious problems of functionalism. Some suggestions are given as to why it is not possible to relate mind structures and brain structures by using neurocomputational approaches, and finally the question is raised of the validity of reductionism in a theory which sets out to unite mind and brain architectures. (shrink)

This essay introduces the massive redeployment hypothesis, an account of the functional organization of the brain that centrally features the fact that brain areas are typically employed to support numerous functions. The central contribution of the essay is to outline a middle course between strict localization on the one hand, and holism on the other, in such a way as to account for the supporting data on both sides of the argument. The massive redeployment hypothesis is supported (...) by case studies of redeployment, and compared and contrasted with other theories of the localization of function. (shrink)

Gestalt theory is discussed as one main precursor of synergetics, one of the most elaborated theories of self-organization. It is a precursor for two reasons: the Gestalt theoretical view of cognitive order-formation comes dose to the central ideas of self-organization. Furthermore both approaches have stressed the significance of non-linear perceptual processes (such as multistability) for the solution of the mind-brain problem. The question of whether Gestalt theory preferred a dualistic or a monistic view of the (...) mind-body relation is answered in that there was a preference for dualism in epistemological questions and for monism in the mind-brain relation. The latter was attained by the concept of psychophysical isomorphism. This concept, although widely misunderstood in many respects, was criticized on the basis of neurobiological findings. One main objection was the neglect of the importance of the elementary neurophysiological processes. A distinction between macroscopic and microscopic brain processes seemed to be required. This idea was taken up in synergetics which postulates a bottom-up and top-down interaction between these two levels. Macroscopic order emerges from elementary brain processes and, at the same time, has a backward slaving effect to the microscopic level In the light of such holistic emergentism, the question whether macroscopic order states might be attractors for psychological meanings is discussed. (shrink)

Three arguments are given to show that neural constructivism lacks an essential ingredient to explain cognitive development. Based on results in the theory of adaptive signal analysis, adaptive biological pattern information and self-organization in nonlinear systems of information processing, it is concluded that neural constructivism should be further extended to accommodate the occurrence of phase transitions generating qualitative development in the sense of Piaget.

We clarify the arguments in Neural organization: Structure, function, and dynamics, acknowledge important contributions cited by our critics, and respond to their criticisms by charting directions for further development of our integrated approach to theoretical and empirical studies of neural organization. We first discuss functional organization in general (behavior versus cognitive functioning, the need to study body and brain together, function in ontogeny and phylogeny) and then focus on schema theory (noting that schema theory (...) is not just a top-down theory and discussing the transition from action-oriented perception to cognition). We then turn to dynamical organization, with a focus first on neural modeling and dynamics (clarifying the multiple functions of neurons and brain regions, and looking further at various forms of dynamics) and second on learning, development, and self-organization (looking at monoaminergic systems, reinforcement, self-organization, postnatal development, and disease). We close with a brief philosophical discussion of postmodernism and reductionism. (shrink)

How does segregation along ethnic boundaries emerge in social networks? Human evolution resulted in highly social beings, capable of prosociality, mindreading, and self-control, which are important aspects of the “social brain.” Our neurophysiologically “wired” social cognition implies different cognitive goal frames. In line with recent developments in behavioral theory, the present study defines network ties as episodes of social exchange. This dynamic definition can account for shifts in goal frames during an exchange episode: whereas deliberate choice and hedonic (...) or gain goals drive the initiation of a tie, given the opportunity structure, the normative goal frame activates a strong dynamic effect of reciprocity, which limits actors’ choice set and appears as “self-organization” at the network level. Longitudinal analyses of 18 birthday party networks comprising 501 students support the definition of network ties as exchange episodes, as well as the relevance of humans’ inherent tendency to reciprocate. However, reciprocation is much stronger in dyads of the same ethnicity than in dyads of different ethnicities. Network segregation along ethnic boundaries results from deliberate decisions during the initiation of an episode, but also from different commitments to reciprocity during the ongoing exchange process, depending on intra or interethnic dyadic constellations. (shrink)

We argue that the rapid eye movement dream experiences owe their structure and meaning to inherent self-organizing properties of the brain itself. Thus, we offer a common meeting ground for brain based studies of dreaming and traditional psychological dream theory. Our view is that the dreaming brain is a self-organizing system highly sensitive to internally generated influences. Several lines of evidence support a process view of the brain as a system near the edge of chaos, (...) one that is highly sensitive to internal influences. Such sensitivity is due to several factors. First, the dreaming brain normally gates out external input and thus operates without the stabilizing influences of external feedback. Second, the pre-frontal cortex is only minimally activated during REM sleep, and hence the brain operates with weakened volition, reduced logic, and diminished self-reflection. Third, because the neuromodulatory inhibition mechanism is turned off during REM, the brain responds spontaneously to the least provocation. In addition, the dreaming brain is also subject to powerful intermittent cholinergic stimulation which may stimulate creative patterns of dream activity. (shrink)

Neural organization: Structure, function, and dynamics shows how theory and experiment can supplement each other in an integrated, evolving account of the brain's structure, function, and dynamics. Structure: Studies of brain function and dynamics build on and contribute to an understanding of many brain regions, the neural circuits that constitute them, and their spatial relations. We emphasize Szentágothai's modular architectonics principle, but also stress the importance of the microcomplexes of cerebellar circuitry and the lamellae of (...) hippocampus. Function: Control of eye movements, reaching and grasping, cognitive maps, and the roles of vision receive a functional decomposition in terms of schemas. Hypotheses as to how each schema is implemented through the interaction of specific brain regions provide the basis for modeling the overall function by neural networks constrained by neural data. Synthetic PET integrates modeling of primate circuitry with data from human brain imaging. Dynamics: Dynamic system theory analyzes spatiotemporal neural phenomena, such as oscillatory and chaotic activity in both single neurons and neural networks, the self-organizing development and plasticity of ordered neural structures, and learning and memory phenomena associated with synaptic modification. Rhythm generation involves multiple levels of analysis, from intrinsic cellular processes to loops involving multiple brain regions. A variety of rhythms are related to memory functions. The Précis presents a multifaceted case study of the hippocampus. We conclude with the claim that language and other cognitive processes can be fruitfully studied within the framework of neural organization that the authors have charted with John Szentágothai. (shrink)

Evidence has long suggested that ‘hardwiring’ is a poor metaphor for brain development. But the metaphor may be an apt one for the dominant paradigm for researching sex differences, which pushes most neuroscience studies of sex/gender inexorably towards the ‘discovery’ of sex/gender differences, and makes contemporary gender structures appear natural and inevitable. The argument we forward in this paper is twofold. In the first part of the paper, we address the dominant ‘hardwiring’ paradigm of sex/gender research in contemporary neuroscience, (...) which is built on broad consensus that there are important ‘original’ sex differences in brain structure and function, organized by sex-differentiating prenatal hormone exposures. We explain why this consensus is both unscientific and unethical. In the second part of the paper, we sketch an alternative research program focused not on the origins of sex/gender differences but on variability and plasticity of brain/behavior. We argue that interventional experiments based on this approach will address more tractable questions, and lead to much more satisfactory results than the brain organization paradigm can provide. (shrink)

This essay introduces the massive redeployment hypothesis, an account of the functional organization of the brain that centrally features the fact that brain areas are typically employed to support numerous functions. The central contribution of the essay is to outline a middle course between strict localization on the one hand, and holism on the other, in such a way as to account for the supporting data on both sides of the argument. The massive redeployment hypothesis is supported (...) by case studies of redeployment, and compared and contrasted with other theories of the localization of function. (shrink)

This book examines the historical development of studies of the brain and behavior from the early work of Aristotle and Galen up to the late twentieth century. Modern neuroscience, a multidisciplinary endeavor, emerged only recently as a unified field . This book does not treat the disciplinary history of neuroscience per se but, rather, the history of attempts to understand the nervous system and its relationship to behavior from a constellation of disciplines all related to what we now call (...) “neuroscience”: anatomy, physiology, psychology, psychiatry, evolutionary theory, and anthropology.Louise H. Marshall is a neuroscientist and director of the UCLA Brain Research Institute's Neuroscience History Archives. Her coauthor, the late neuroscientist Horace W. Magoun, founded the Department of Anatomy at UCLA's Medical School in 1953. Their book grew out of a series of poster presentations put together by Magoun for several national and international neuroscience meetings during the early 1980s. Magoun wrote a twenty‐seven‐page brochure after receiving much enthusiasm from neuroscientists at these meetings—both students and those more established in the field—and many wanted a publication.Not surprisingly, given its early beginnings in poster presentations, the book is richly illustrated. The chapters are arranged only loosely chronologically; their sequence is directed more explicitly by investigative themes. The first chapter outlines three basic “postulates” that direct the organization of the rest of the book and act as conceptual threads: phylogeny , the idea of a structural and functional hierarchy in the nervous system, and the notion that function determines structure. The last chapter, by way of discussion, moves into twentieth‐century developments in the understanding of certain “integrative” systems in the brain and the recognition by neuroscientists of the need for multidisciplinary approaches that integrate anatomical, physiological, and behavioral perspectives.The third postulate, the idea that “form follows function,” receives the most emphasis in the book, and most chapters touch on the oscillating relationship between studies of form and studies of function . The book also illustrates certain historical trends: the anatomical studies of the ancient and Renaissance periods, the more physiological and clinical studies of the nineteenth century, and the instrument‐centered approaches of early twentieth‐century neurophysiology.The book has certain strengths and weaknesses related to the authors' perspective as neuroscientists. As one might expect, elements of presentism arise, as the work of some investigators is described as “anticipating” that of later scientists, and other research—for example, J. L. W. Thudichum's work on brain chemistry—is deemed “surprisingly modern” . However, the book gives wonderfully detailed, precise accounts of scientific developments related to brain and behavior. The authors demonstrate a critical mastery of both primary and secondary sources, with thorough citations, and the book comes with a comprehensive bibliography.Discoveries in the Human Brain does not place neuroscientific developments within a wider cultural or social context, but the authors had no ambitions to do so. They even point to drawbacks of such historical approaches, arguing that they “create issues where none exist and … couch ideas in such convoluted language that the events and concepts become unfamiliar and difficult to fathom” . This position reflects their intended audience: neuroscientists interested in the history of their field. While there is certainly room for professional historians of science to tackle the history of neuroscience, this book will be valuable for historians because literature in the history of neuroscience is sparse. However, it is likely to be of greater value to neuroscientists—in the authors' words, “those workers at the bench who are curious to learn how it all happened.”. (shrink)

Features of consciousness difficult to understand in terms of conventional neuroscience have evoked application of quantum theory, which describes the fundamental behavior of matter and energy. In this paper we propose that aspects of quantum theory (e.g. quantum coherence) and of a newly proposed physical phenomenon of quantum wave function "self-collapse"(objective reduction: OR -Penrose, 1994) are essential for consciousness, and occur in cytoskeletal microtubules and other structures within each of the brain's neurons. The particular characteristics of microtubules (...) suitable for quantum effects include their crystal-like lattice structure, hollow inner core, organization of cell function and capacity for information processing. We envisage that conformational states of microtubule subunits (tubulins) are coupled to internal quantum events, and cooperatively interact (compute) with other tubulins. We further assume that macroscopic coherent superposition of quantum-coupled tubulin conformational states occurs throughout significant brain volumes and provides the global binding essential to consciousness. We equate the emergence of the microtubule quantum coherence with pre-conscious processing which grows (for up to 500 milliseconds) until the mass-energy difference among the separated states of tubulins reaches a threshold related to quantum gravity. According to the arguments for OR put forth in Penrose (1994), superpositioned states each have their own space-time geometries. When the degree of coherent mass-energy difference leads to sufficient separation of space-time geometry, the system must choose and decay (reduce, collapse) to a single universe state. In this way, a transient superposition of slightly differing space-time geometries persists until an abrupt quantum classical reduction occurs. Unlike the random, "subjective reduction"( SR, or R) of standard quantum theory caused by observation or environmental entanglement, the OR we propose in microtubules is a self-collapse and it results in particular patterns of microtubule-tubulin conformational states that regulate neuronal activities including synaptic functions. (shrink)