Results for 'The complementary brain: unifying brain dynamics and modularity'

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  1. The complementary brain: From brain dynamics to conscious experiences.Stephen Grossberg - 2004 - In Christian Kaernbach, Erich Schroger & Hermann Müller (eds.), Psychophysics Beyond Sensation: Laws and Invariants of Human Cognition. Psychology Press. pp. 417-449.
  2.  7
    The Self-Embodying Mind: Process, Brain Dynamics, and the Conscious Present.Jason W. Brown - 2002 - Midpoint Trade Books.
    This superbly written and finery argued philosophical essay has potentially revolutionary importance for understanding "human consciousness, " and its author has accordingly been celebrated by the likes of Oliver Sachs and Karl Pribram. Showing the relevance of neuropathology for understanding the unifying processes behind perception, memory, and language, Jason Brown offers an exciting new approach to the mind/brain problem, freely crossing the boundaries of neurophysiology, psychology, and philosophy of mind. Hard science and the study of the nature of (...)
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  3. Quantum Brain Dynamics and Consciousness: An Introduction.Marj Jibu & Kunio Yasue - 1995 - Philadelphia: John Benjamins. Edited by Kunio Yasue.
  4.  13
    Freeman's Nonlinear Brain Dynamics and Consciousness.M. Mannino & S. L. Bressler - 2018 - Journal of Consciousness Studies 25 (1-2):64-88.
    Walter Freeman's theory of nonlinear neurodynamics has had a major impact on brain dynamics in modern cognitive neuroscience. Steven Bressler's theory of neurocognitive networks follows from Freeman's work, and his empirical evidence for the coordination of cortical areas by phase-coupled beta rhythms in large-scale cognitive brain networks supports Freeman's ideas on nonlinear brain dynamics. Bressler's work, taking Freeman's concepts into the realm of cognitive neurodynamics, also supports Scott Kelso's theory of metastability in coordination dynamics. (...)
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  5.  19
    Unifying cell assembly theory with observations of brain dynamics.R. Miller - 1999 - Behavioral and Brain Sciences 22 (2):297-298.
    Empirical evidence suggests that high frequency electrographic activity is involved in active representation of meaningful entities in the cortex. Theoretical work suggests that distributed cell assemblies also represent meaningful entities. However, we are still some way from understanding how these two are related. This commentary also makes suggestions for further investigation of the neural basis of language at the level of both words and sentence planning.
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  6.  27
    The aesthetic experience as a characteristic feature of brain dynamics.Giuseppe Vitiello - 2015 - Aisthesis: Pratiche, Linguaggi E Saperi Dell’Estetico 8 (1):71-89.
    The brain constructs within itself an understanding of its surround which constitutes its own world. This is described as its Double in the frame of the dissipative quantum model of brain, where the perception-action arc in the Merleau-Ponty’s phenomenology of perception finds its formal description. In the dialog with the Double, the continuous attempt to reach the equilibrium shows that the real goal pursued by the brain activity is the aesthetical experience, the most harmonious “to-be-in-the-world” reached through (...)
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  7. Unifying Approaches to the Unity of Consciousness Minds, Brains and Machines Susan Stuart.Brains Minds - 2005 - In L. Magnani & R. Dossena (eds.), Computing, Philosophy and Cognition. pp. 4--259.
     
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  8.  16
    Understanding brain circuits and their dynamics.Antoni Gomila & Paco Calvo - 2010 - Behavioral and Brain Sciences 33 (4):274-275.
    We argue that Anderson's (MRH) needs further development in several directions. First, a thoroughgoing criticism of the several alternatives is required. Second, the course between the Scylla of full holism and the Charybdis of structural-functional modularism must be plotted more distinctly. Third, methodologies better suited to reveal brain circuits must be brought in. Finally, the constraints that naturalistic settings provide should be considered.
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  9.  33
    What the Jeweller’s Hand Tells the Jeweller’s Brain: Tool Use, Creativity and Embodied Cognition.Chris Baber, Tony Chemero & Jamie Hall - 2019 - Philosophy and Technology 32 (2):283-302.
    The notion that human activity can be characterised in terms of dynamic systems is a well-established alternative to motor schema approaches. Key to a dynamic systems approach is the idea that a system seeks to achieve stable states in the face of perturbation. While such an approach can apply to physical activity, it can be challenging to accept that dynamic systems also describe cognitive activity. In this paper, we argue that creativity, which could be construed as a ‘cognitive’ activity par (...)
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  10.  13
    Mathematical description of brain dynamics in perception and action.John S. Nicolis & Ichiro Tsuda - 1999 - Journal of Consciousness Studies 6 (11-12):11-12.
    A given but otherwise random environmental time series impinging on the input of a certain biological processor passes through with overwhelming probability practically undetected. A very small percentage of environmental stimuli, though, is ‘captured’ by the processor's nonlinear dissipative operator as initial conditions, and is ‘processed’ as solutions of its dynamics. The processor, then, is in such cases instrumental in compressing or abstracting those stimuli, thereby making the external world to collapse from a previous regime of a ‘pure state’ (...)
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  11.  50
    Self-Projection: Hugo Münsterberg on Empathy and Oscillation in Cinema Spectatorship.Robert Michael Brain - 2012 - Science in Context 25 (3):329-353.
    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, (...)
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  12.  44
    Mixed-system brain dynamics: Neural memory as a macroscopic ordered state. [REVIEW]C. I. J. M. Stuart, Y. Takahashi & H. Umezawa - 1979 - Foundations of Physics 9 (3-4):301-327.
    The paper reviews the current situation regarding a new theory of brain dynamics put forward by the authors in an earlier publication. Motivation for the theory is discussed in terms of two issues: the long-standing problem of accounting for the stability and nonlocal properties of memory, and the experimental and theoretical evidence against the classical theory of brain action. It is shown that the new theory provides an explanation and a conceptually unifying framework for phenomena of (...)
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  13.  96
    Collective consciousness and the social brain.Allan Combs & S. Kripner - 2008 - Journal of Consciousness Studies 15 (10-11):264-276.
    This paper discusses supportive neurological and social evidence for 'collective consciousness', here understood as a shared sense of being together with others in a single or unified experience. Mirror neurons in the premotor and posterior parietal cortices respond to the intentions as well as the actions of other individuals. There are also mirror neurons in the anterior insula and anterior cingulate cortices which have been implicated in empathy. Many authors have considered the likely role of such mirror systems in the (...)
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  14. Nonlinear brain dynamics and intention according to Aquinas.Walter Freeman - 2008 - Mind and Matter 6 (2):207-234.
    We humans and other animals continuously construct and main- tain our grasp of the world by using astonishingly small snippets of sensory information. Recent studies in nonlinear brain dynamics have shown how this occurs: brains imagine possible futures and seek and use sensory stimulation to select among them as guides for chosen actions. On the one hand the scientific explanation of the dynamics is inaccessible to most of us. On the other hand the philosophical foundation from which (...)
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  15.  9
    Laying the Foundations for a Theory of Consciousness: The Significance of Critical Brain Dynamics for the Formation of Conscious States.Joachim Keppler - 2024 - Frontiers in Human Neuroscience 18:1379191.
    Empirical evidence indicates that conscious states, distinguished by the presence of phenomenal qualities, are closely linked to synchronized neural activity patterns whose dynamical characteristics can be attributed to self-organized criticality and phase transitions. These findings imply that insight into the mechanism by which the brain controls phase transitions will provide a deeper understanding of the fundamental mechanism by which the brain manages to transcend the threshold of consciousness. This article aims to show that the initiation of phase transitions (...)
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  16.  27
    Isolability as the unifying feature of modularity.Lucas J. Matthews - 2019 - Biology and Philosophy 34 (2):20.
    Although the concept of modularity is pervasive across fields and disciplines, philosophers and scientists use the term in a variety of different ways. This paper identifies two distinct ways of thinking about modularity, and considers what makes them similar and different. For philosophers of mind and cognitive science, cognitive modularity helps explain the capacities of brains to process sundry and distinct kinds of informational input. For philosophy of biology and evolutionary science, biological modularity helps explain the (...)
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  17.  54
    The Good Life: Unifying the Philosophy and Psychology of Well-Being.Michael A. Bishop - 2014 - New York, US: OUP USA.
    Science and philosophy study well-being with different but complementary methods. Marry these methods and a new picture emerges: To have well-being is to be "stuck" in a positive cycle of emotions, attitudes, traits and success. This book unites the scientific and philosophical worldviews into a powerful new theory of well-being.
  18. Quantum brain dynamics and consciousness.Friedrich Beck - 2001 - In P. Loockvane (ed.), The Physical Nature of Consciousness. John Benjamins.
  19. Seven properties of self-organization in the human brain.Birgitta Dresp-Langley - 2020 - Big Data and Cognitive Computing 2 (4):10.
    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 (...)
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  20.  21
    Strong modularity and circular reasoning pervade the planning–control model.Verónica C. Ramenzoni & Michael A. Riley - 2004 - Behavioral and Brain Sciences 27 (1):48-49.
    We believe the dichotomy of processes introduced in the target article is highly speculative, because the dichotomy is shaped by the questionable assumption of modularity and the complementary assumption of locality. As a result, the author falls into a line of circular reasoning that biases his analysis of the experimental and neuropsychological data, and weakens the proposed model.
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  21.  79
    The feeling of grip: novelty, error dynamics, and the predictive brain.Julian Kiverstein, Mark Miller & Erik Rietveld - 2019 - Synthese 196 (7):2847-2869.
    According to the free energy principle biological agents resist a tendency to disorder in their interactions with a dynamically changing environment by keeping themselves in sensory and physiological states that are expected given their embodiment and the niche they inhabit :127–138, 2010. doi: 10.1038/nrn2787). Why would a biological agent that aims at minimising uncertainty in its encounters with the world ever be motivated to seek out novelty? Novelty for such an agent would arrive in the form of sensory and physiological (...)
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  22.  36
    Freediving neurophenomenology and skilled action: an investigation of brain, body, and behavior through breath.Suraiya Luecke - 2023 - Phenomenology and the Cognitive Sciences 22 (4):761-797.
    In this paper I investigate the neurophenomenology of freediving (NoF) and the Skilled Intentionality Framework (SIF), using these two components to mutually inform each other in order to better understand cognition in skilled action. First, this paper provides a novel neurophenomenological exposition of the practice of freediving. It combines quantitative neurophysiological data with qualitative phenomenological reports in order to understand the neural and bodily mechanisms that correlate with the phenomenology of freediving. The NoF data suggests that freediving induces a unique (...)
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  23. Dual mode quantum brain dynamics and its application to the Riemann Hypothesis.G. Globus - 2004 - In Gordon G. Globus, Karl H. Pribram & Giuseppe Vitiello (eds.), Brain and Being. John Benjamins.
     
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  24.  78
    Making Complexity Simpler: Multivariability and Metastability in the Brain.Andrew And Alexander Fingelkurts - 2004 - International Journal of Neuroscience 114 (7):843 - 862.
    This article provides a retrospective, current and prospective overview on developments in brain research and neuroscience. Both theoretical and empirical studies are considered, with emphasis in the concept of multivariability and metastability in the brain. In this new view on the human brain, the potential multivariability of the neuronal networks appears to be far from continuous in time, but confined by the dynamics of short-term local and global metastable brain states. The article closes by suggesting (...)
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  25. Motor ontology: The representational reality of goals, actions and selves.Vittorio Gallese & Thomas Metzinger - 2003 - Philosophical Psychology 16 (3):365 – 388.
    The representational dynamics of the brain is a subsymbolic process, and it has to be conceived as an "agent-free" type of dynamical self-organization. However, in generating a coherent internal world-model, the brain decomposes target space in a certain way. In doing so, it defines an "ontology": to have an ontology is to interpret a world. In this paper we argue that the brain, viewed as a representational system aimed at interpreting the world, possesses an ontology too. (...)
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  26. Phenomenological architecture of a mind and Operational Architectonics of the brain: the unified metastable continuum.Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves - 2009 - Journal of New Mathematics and Natural Computing. Special Issue on Neurodynamic Correlates of Higher Cognition and Consciousness: Theoretical and Experimental Approaches - in Honor of Walter J Freeman's 80th Birthday 5 (1):221-244.
    In our contribution we will observe phenomenal architecture of a mind and operational architectonics of the brain and will show their intimate connectedness within a single integrated metastable continuum. The notion of operation of different complexity is the fundamental and central one in bridging the gap between brain and mind: it is precisely by means of this notion that it is possible to identify what at the same time belongs to the phenomenal conscious level and to the neurophysiological (...)
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  27.  11
    Complementary Specializations of the Left and Right Sides of the Honeybee Brain.Lesley J. Rogers & Giorgio Vallortigara - 2019 - Frontiers in Psychology 10.
    Honeybees show lateral asymmetry in both learning about odours associated with reward and recalling memory of these associations. We have extended this research to show that bees exhibit lateral biases in their initial response to odours: viz., turning towards the source of an odour presented on their right side and turning away from it when presented on their left side. The odours we presented were the main component of the alarm pheromone, iso-amyl acetate (IAA), and four floral scents. The significant (...)
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  28.  27
    Hearts don't love and brains don't pump: Neocortical dynamic correlates of conscious experience.Paul Nunez & R. Nunez - 2007 - Journal of Consciousness Studies 14 (8):20-34.
    Human brains exhibit complex dynamic behaviour measured by external recordings of electric (EEG) and magnetic fields (MEG). These data reveal synaptic field oscillations in neocortex at millisecond temporal and centimetre spatial scales. We suggest that the neural networks underlying behaviour and cognition may be viewed as embedded in these synaptic action fields, analogous to social networks embedded in a culture. These synaptic fields may facilitate the binding of disparate networks to produce a behaviour and consciousness that appears unified to external (...)
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  29.  34
    The biopsychosocial and “complex” systems approach as a unified framework for addiction.Mark D. Griffiths - 2008 - Behavioral and Brain Sciences 31 (4):446-447.
    The for addiction proposed by Redish and colleagues is only unified at a reductionist level of analysis, the biological one relating to decision-making. Theories of addiction may be complementary rather than mutually exclusive, suggesting that limitations of individual theories might be unified through the combination of ideas from different biopsychosocial systems perspectives.
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  30.  65
    Bridging the gap: Dynamics as a unified view of cognition.Derek Harter, Arthur C. Graesser & Stan Franklin - 2001 - Behavioral and Brain Sciences 24 (1):45-46.
    Top-down dynamical models of cognitive processes, such as the one presented by Thelen et al., are important pieces in understanding the development of cognitive abilities in humans and biological organisms. Unlike standard symbolic computational approaches to cognition, such dynamical models offer the hope that they can be connected with more bottom-up, neurologically inspired dynamical models to provide a complete view of cognition at all levels. We raise some questions about the details of their simulation and about potential limitations of top-down (...)
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  31.  8
    Modularity, abstractness and the interactive brain.James M. Clark - 1994 - Behavioral and Brain Sciences 17 (1):67-68.
  32.  13
    The “initial” brain concept: Its uses and misuses.Ilya I. Glezer, Myron S. Jacobs & Peter J. Morgane - 1988 - Behavioral and Brain Sciences 11 (1):106-116.
    We review the evidence for the concept of the “initial” or prototype brain. We outline four possible modes of brain evolution suggested by our new findings on the evolutionary status of the dolphin brain. The four modes involve various forms of deviation from and conformity to the hypothesized initial brain type. These include examples of conservative evolution, progressive evolution, and combinations of the two in which features of one or the other become dominant. The four types (...)
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  33.  16
    The Puzzling Chasm Between Cognitive Representations and Formal Structures of Linguistic Meanings.Prakash Mondal - 2022 - Cognitive Science 46 (9):e13200.
    Natural language meaning has properties of both (embodied) cognitive representations and formal/mathematical structures. But it is not clear how they actually relate to one another. This article argues that how properties of cognitive representations and formal/mathematical structures of natural language meaning can be united remains one of the puzzles in cognitive science. That is primarily because formal/mathematical structures of natural language meaning are abstract, logical, and truth‐conditional properties, whereas cognitive/conceptual representations are embodied and grounded in sensory‐motor systems. After reviewing the (...)
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  34. Neurophenomenology - integrating subjective experience and brain dynamics in the neuroscience of consciousness.Antoine Lutz & Evan Thompson - 2003 - Journal of Consciousness Studies 10 (9-10):31-52.
    The paper presents a research programme for the neuroscience of consciousness called 'neurophenomenology' and illustrates it with a recent pilot study . At a theoretical level, neurophenomenology pursues an embodied and large-scale dynamical approach to the neurophysiology of consciousness . At a methodological level, the neurophenomenological strategy is to make rigorous and extensive use of first-person data about subjective experience as a heuristic to describe and quantify the large-scale neurodynamics of consciousness . The paper focuses on neurophenomenology in relation to (...)
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  35.  22
    The Independent and Shared Mechanisms of Intrinsic Brain Dynamics: Insights From Bistable Perception.Teng Cao, Lan Wang, Zhouyuan Sun, Stephen A. Engel & Sheng He - 2018 - Frontiers in Psychology 9.
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  36.  16
    Commentary: Brain-to-Brain Synchrony Tracks Real-World Dynamic Group Interactions in the Classroom and Cognitive Neuroscience: Synchronizing Brains in the Classroom.Francisco J. Parada & Alejandra Rossi - 2017 - Frontiers in Human Neuroscience 11.
  37.  9
    The brain dynamics of trust decisions and outcome evaluation in narcissists.Fengbo Guo, Ziyang Yang, Tengfei Liu & Li Gu - 2022 - Frontiers in Psychology 13.
    Individuals with narcissism are, by definition, self-centered, focus on self-benefit, and demonstrate less prosocial behaviors. Trusting strangers is risky, as it can result in exploitation and non-reciprocation. Thus, the trust may be antagonistic to narcissism. However, how narcissists make the choice to trust remains to be elucidated. The current study examined 44 participants playing as trustors in one-shot trust games, and their electroencephalograms were recorded. Individuals high in narcissism exhibited less trust toward strangers, especially following gaining feedback for their trust. (...)
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  38.  41
    Brain Scales and the Dynamics of Images according to Gilbert Simondon.Yves Citton - 2015 - Iris 36:139-157.
    Cet article interroge les échelles multiples à travers lesquelles nos imaginaires scientifiques actuels cadrent et cartographient les activités de notre cerveau. Le réduit-on à l’encéphale? au système nerveux qui le nourrit de stimuli, depuis les doigts jusqu’aux talons? aux réseaux de communication qui alimentent nos sensations d’images et de sons venant des quatre coins de la planète? La façon dont Gilbert Simondon modélise la dynamique transindividuelle des images dans son cours sur l’imagination et l’invention offre des ressources encore insuffisamment exploitées (...)
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  39. Energy in the Universe and its Syntropic Forms of Existence According to the BSM - Superg ravitation Unified Theory.Stoyan Sarg Sargoytchev - 2013 - Syntropy 2013 (2).
    According to the BSM- Supergravitation Unified Theory (BSM-SG), the energy is indispensable feature of matter, while the matter possesses hierarchical levels of organization from a simple to complex forms, with appearance of fields at some levels. Therefore, the energy also follows these levels. At the fundamental level, where the primary energy source exists, the matter is in its primordial form, where two super-dense fundamental particles (FP) exist in a classical pure empty space (not a physical vacuum). They are associated with (...)
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  40.  8
    The Interconnected Universe: Conceptual Foundations of Transdisciplinary Unified Theory.Ervin Laszlo - 1995 - World Scientific.
    This book offers an original hypothesis capable of unifying evolution in the physical universe with evolution in biology; herewith it lays the conceptual foundations of ?transdisciplinary unified theory?. The rationale for the hypothesis is presented first; then the theoretical framework is outlined, and thereafter it is explored in regard to quantum physics, physical cosmology, micro- and macro-biology, and the cognitive sciences (neurophysiology, psychology, with attention to anomalous phenomena as well). The book closes with a variety of studies, both by (...)
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  41.  11
    Thinking together quantum brain dynamics and postmodernism.Gordon Globus - 2001 - In P. Van Loocke (ed.), The Physical Nature of Consciousness. John Benjamins. pp. 29--175.
  42.  76
    The value of spontaneous EEG oscillations in distinguishing patients in vegetative and minimally conscious states.Andrew And Alexander Fingelkurts, Sergio Bagnato, Cristina Boccagni & Giuseppe Galardi - 2013 - In Eror Basar & et all (eds.), Application of Brain Oscillations in Neuropsychiatric Diseases. Supplements to Clinical Neurophysiology. Elsevier. pp. 81-99.
    Objective: The value of spontaneous EEG oscillations in distinguishing patients in vegetative and minimally conscious states was studied. Methods: We quantified dynamic repertoire of EEG oscillations in resting condition with closed eyes in patients in vegetative and minimally conscious states (VS and MCS). The exact composition of EEG oscillations was assessed by the probability-classification analysis of short-term EEG spectral patterns. Results: The probability of delta, theta and slow-alpha oscillations occurrence was smaller for patients in MCS than for VS. Additionally, only (...)
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  43.  16
    Human Brain Dynamics Reflect the Correctness and Presentation Modality of Physics Concept Memory Retrieval.Chih-Ping Liang, Hsiao-Ching She, Li-Yu Huang, Wen-Chi Chou, Sheng-Chang Chen & Tzyy-Ping Jung - 2020 - Frontiers in Human Neuroscience 14.
  44.  33
    Dynamic patterns: The self‐organization of brain and behavior.Gavan Lintern - 1997 - Complexity 2 (3):45-46.
  45.  58
    Information processing and dynamical systems approaches are complementary.David Spurrett - 2002 - Behavioral and Brain Sciences 25 (5):639-640.
    Shanker & King (S&K) trumpet the adoption of a “new paradigm” in communication studies, exemplified by ape language research. Though cautiously sympathetic, I maintain that their argument relies on a false dichotomy between “information” and “dynamical systems” theory, and that the resulting confusion prevents them from recognizing the main chance their line of thinking suggests.
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  46.  21
    Network and Multilayer Network Approaches to Understanding Human Brain Dynamics.Sarah Feldt Muldoon & Danielle S. Bassett - 2016 - Philosophy of Science 83 (5):710-720.
    Network neuroscience provides a systems approach to the study of the brain and enables the examination of interactions measured at different temporal and spatial scales. We review current methods to quantify the structure of brain networks and compare that structure across different clinical cohorts, cognitive states, and subjects. We further introduce the emerging mathematical concept of multilayer networks and describe the advantages of this approach to model changing brain dynamics over time. We conclude by offering several (...)
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  47.  20
    The complex mind/brain—The psynet model of mental structure and dynamics.Ben Goertzel - 1998 - Complexity 3 (4):51-58.
  48.  29
    Altered Structure of Dynamic Electroencephalogram Oscillatory Pattern in Major Depression.Andrew and Alexander Fingelkurts - 2015 - Biological Psychiatry 77 (12):1050-1060.
    Research on electroencephalogram (EEG) characteristics associated with major depressive disorder (MDD) has accumulated diverse neurophysiologic findings related to the content, topography, neurochemistry, and functions of EEG oscillations. Significant progress has been made since the first landmark EEG study on affective disorders by Davidson 35 years ago. A systematic account of these data is important and necessary for building a consistent neuropsychophysiologic model of MDD and other affective disorders. Given the extensive data on frequency-dependent functional significance of EEG oscillations, a frequency (...)
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  49. Neurophilosophy: Toward A Unified Science of the Mind-Brain.Patricia Smith Churchland - 1986 - MIT Press.
    This is a unique book. It is excellently written, crammed with information, wise and a pleasure to read.' ---Daniel C. Dennett, Tufts University.
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  50.  62
    Local-global interactions and the role of mesoscopic (intermediate-range) elements in brain dynamics.Walter J. Freeman & Robert Kozma - 2000 - Behavioral and Brain Sciences 23 (3):401-401.
    A unifing theory of spatiotemporal brain dynamics should incorporate multiple spatial and temporal scales. Between the microscopic (local) and macroscopic (global) components proposed by Nunez, mesoscopic (intermediate-range) elements should be integral parts of models. The corresponding mathematical formalism requires tools of nonlinear dynamics and the use of aperiodic (chaotic) attractors. Some relations between local-mesoscopic and mesoscopic-global components are outlined.
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