Keywords: computational neuroscience, neural coding, brain function, neural modeling, cognitive modeling, computation, representation, neuroscience, neuropsychology, semantics, theoretical psychology, theoretical neuroscience.

Neuroethics is an interdisciplinary field that arose in response to novel ethical challenges posed by advances in neuroscience. Historically, neuroethics has provided an opportunity to synergize different disciplines, notably proposing a two-way dialogue between an ‘ethics of neuroscience’ and a ‘neuroscience of ethics’. However, questions surface as to whether a ‘neuroscience of ethics’ is a useful and unified branch of research and whether it can actually inform or lead to theoretical insights and transferable practical knowledge (...) to help resolve ethical questions. In this article, we examine why the neuroscience of ethics is a promising area of research and summarize what we have learned so far regarding its most promising goals and contributions. We then review some of the key methodological challenges which may have hindered the use of results generated thus far by the neuroscience of ethics. Strategies are suggested to address these challenges and improve the quality of research and increase neuroscience's usefulness for applied ethics and society at large. Finally, we reflect on potential outcomes of a neuroscience of ethics and discuss the different strategies that could be used to support knowledge transfer to help different stakeholders integrate knowledge from the neuroscience of ethics. (shrink)

This article compares research in neuroscience regarding the right and left hemispheres of the brain, particularly in the work of Iain McGilchrist and Robert Ornstein, with Whitehead’s perception in the mode of causal efficacy and in the mode of presentational immediacy, respectively.

Educational Neuroscience provides an overview of a wide range of recent initiatives in educational neuroscience implicating and pertaining to mind, brain, and education. Contributions from top researchers in the field examine a variety of concerns, issues, and directions pertaining and relating to educational neuroscience and mind, brain, and education more generally, focusing on three main areas: motivations, aims, and prospects theories, methods, and collaborations challenges, results, and implications Chapters promote interdisciplinary perspectives and further establishment of theoretical (...) and empirical bases for research and scholarship bridging Education and the Neurosciences. Though not exhaustive, these chapters identify various parties, agencies, organizations, and initiatives involved in facilitating and furthering development in the field, providing a compendium of on-going efforts to help establish theories, models, methods, ethics, and common language. (shrink)

According to some philosophers, computational explanation is proprietary
to psychology—it does not belong in neuroscience. But neuroscientists routinely offer computational explanations of cognitive phenomena. In fact, computational explanation was initially imported from computability theory into the science of mind by neuroscientists, who justified this move on neurophysiological grounds. Establishing the legitimacy and importance of computational explanation in neuroscience is one thing; shedding light on it is another. I raise some philosophical questions pertaining to computational explanation and outline some promising (...) answers that are being developed by a number of authors. (shrink)

This volume makes a philosophical contribution to the application of neuroscience in education. It frames neuroscience research in novel ways around educational conceptualizing and practices, while also taking a critical look at conceptual problems in neuroeducation and at the economic reasons driving the mind-brain education movement. It offers alternative approaches for situating neuroscience in educational research and practice, including non-reductionist models drawing from Dewey and phenomenological philosophers such as Martin Heidegger and Merleau-Ponty. The volume gathers together an (...) international bevy of leading philosophers of education who are in a unique position to contribute conceptually rich and theoretically framed insight on these new developments. The essays form an emerging dialogue to be used within philosophy of education as well as neuroeducation, educational psychology, teacher education and curriculum studies. (shrink)

A common kind of explanation in cognitive neuroscience might be called functiontheoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes (in the system’s normal environment) the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it (...) reveals the causal structure of the mechanism underlying the capacity. If they are right, then a cognitive model that resists a transparent mapping to known neural mechanisms fails to be explanatory. I argue that a functiontheoretic characterization of a cognitive capacity can be genuinely explanatory even absent an account of how the capacity is realized in neural hardware. (shrink)

This is a work in the epistemology of functional neuroimaging (fNI) and it applies the error-statistical (ES) philosophy to inferential problems in fNI to formulate and address these problems. This gives us a clear, accurate, and more complete understanding of what we can learn from fNI and how we can learn it. I review the works in the epistemology of fNI which I group into two categories; the first category consists of discussions of the theoretical significance of fNI findings (...) and the second category discusses methodological difficulties of fNI. Both types of works have shortcomings; the first category has been too theory-centered in its approach and the second category has implicitly or explicitly adopted the assumption that methodological difficulties of fNI cannot be satisfactorily addressed. In this dissertation, I address these shortcomings and show how and what kind of experimental knowledge fNI can reliably produce which would be theoretically significant. I take fMRI as a representative fNI procedure and discuss the history of its development. Two independent trajectories of research in physics and physiology eventually converge to give rise to fMRI. Thus, fMRI findings are laden in the theories of physics and physiology and I propose how this creates a kind of useful theory-ladenness which allows for the representation of and intervention in the constructs of cognitive neuroscience. Duhemian challenges and problems of underdetermination are often raised to argue that fNI is of little, if any, epistemic value for psychology. I show how the ES notions of severe tests and error probabilities can be applied in epistemological analyses of fMRI. The result is that hemodynamic hypotheses can be severely tested in fMRI experiments and I demonstrate how these hypotheses are theoretically significant and fuel the growth of experimental knowledge in cognitive neuroscience. Throughout this dissertation, I put the emphasis on the experimental knowledge we obtain from fNI and argue that this is the fruitful approach that enables us to see how fNI can contribute to psychology. In doing so, I offer an error-statistical epistemology of fNI, which hopefully will be a significant contribution to the philosophy of psychology. (shrink)

In this paper I criticize a view of functional localization in neuroscience, which I call “computational absolutism”. “Absolutism” in general is the view that each part of the brain should be given a single, univocal function ascription. Traditional varieties of absolutism posit that each part of the brain processes a particular type of information and/or performs a specific task. These function attributions are currently beset by physiological evidence which seems to suggest that brain areas are multifunctional—that they process distinct (...) information and perform different tasks depending on context. Many theorists take this contextual variation as inimical to successful localization, and claim that we can avoid it by changing our functional descriptions to computational descriptions. The idea is that we can have highly generalizable and predictive functional theories if we can discover a single computation performed by each area regardless of the specific context in which it operates. I argue, drawing on computational models of perceptual area MT, that this computational version of absolutism fails to come through on its promises. In MT, the modeling field has not produced a univocal computational description, but instead a plurality of models analyzing different aspects of MT function. Moreover, CA cannot appeal to theoretical unification to solve this problem, since highly general models, on their own, neither explain nor predict what MT does in any particular context. I close by offering a perspective on neural modeling inspired by Nancy Cartwright’s and Margaret Morrison’s views of modeling in the physical sciences. (shrink)

This book seeks to build bridges between neuroscience and social science empirical researchers and theorists working around the world, integrating perspectives from both fields, separating real from spurious divides between them and delineating new challenges for future investigation. Since its inception in the early 2000s, multilevel social neuroscience has dramatically reshaped our understanding of the affective and cultural dimensions of neurocognition. Thanks to its explanatory pluralism, this field has moved beyond long standing dichotomies and reductionisms, offering a neurobiological (...) perspective on topics classically monopolized by non-scientific traditions, such as consciousness, subjectivity, and intersubjectivity. Moreover, it has forged new paths for dialogue with disciplines which directly address societal dynamics, such as economics, law, education, public policy making and sociology. At the same time, beyond internal changes in the field of neuroscience, new problems emerge in the dialogue with other disciplines. Neuroscience and Social Science - The Missing Link puts together contributions by experts interested in the convergences, divergences, and controversies across these fields. The volume presents empirical studies on the interplay between relevant levels of inquiry (neural, psychological, social), chapters rooted in specific scholarly traditions (neuroscience, sociology, philosophy of science, public policy making), as well as proposals of new theoretical foundations to enhance the rapprochement in question. By putting neuroscientists and social scientists face to face, the book promotes new reflections on this much needed marriage while opening opportunities for social neuroscience to plunge from the laboratory into the core of social life. This transdisciplinary approach makes Neuroscience and Social Science - The Missing Link an important resource for students, teachers, and researchers interested in the social dimension of human mind working in different fields, such as social neuroscience, social sciences, cognitive science, psychology, behavioral science, linguistics, and philosophy. (shrink)

Debates about the implications of empirical research in the natural and social sciences for normative disciplines have recently gained new attention. With the widening scope of neuroscientific investigations into human mental activity, decision-making and agency, neuroethicists and neuroscientists have extensively claimed that results from neuroscientific research should be taken as normatively or even prescriptively relevant. In this chapter, I investigate what these claims could possibly amount to. I distinguish and discuss three readings of the thesis that neuroscientific evidence has normative (...) implications: an action-theoretic, an epistemological, and a metaphysical reading. I conclude that the action-theoretic reading has the most direct normative consequences, even though it is limited to the questions of whether some pre-established moral norms can be realized by individual agents. In contrast, in applying the other two readings, neuroscience can only be said to have normative implications in a very indirect way and only under the condition of making contested metaethical assumptions. All in all, the room for inferring concrete. (shrink)

_Educational Neuroscience_ provides an overview of the wide range of recent initiatives in educational neuroscience, examining a variety of methodological concerns, issues, and directions. Encourages interdisciplinary perspectives in educational neuroscience Contributions from leading researchers examine key issues relating to educational neuroscience and mind, brain, and education more generally Promotes a theoretical and empirical base for the subject area Explores a range of methods available to researchers Identifies agencies, organizations, and associations facilitating development in the field Reveals (...) a variety of on-going efforts to establish theories, models, methods, ethics, and a common language. (shrink)

The idea of integrating evolutionary biology and psychology has great promise, but one that will be compromised if psychological functions are conceived too abstractly and neuroscience is not allowed to play a contructive role. We argue that the proper integration of neuroscience, psychology, and evolutionary biology requires a telelogical as opposed to a merely componential analysis of function. A teleological analysis is required in neuroscience itself; we point to traditional and curent research methods in neuroscience, which (...) make critical use of distinctly teleological functional considerations in brain cartography. Only by invoking teleological criteria can researchers distinguish the fruitful ways of identifying brain components from the myriad of possible ways. One likely reason for reluctance to turn to neuroscience is fear of reduction, but we argue that, in the context of a teleological perspective on function, this concern is misplaced. Adducing such theoretical considerations as top-down and bottom-up constraints on neuroscientific and psychological models, as well as existing cases of productive, multidisciplinary cooperation, we argue that integration of neuroscience into psychology and evolutionary biology is likely to be mutually beneficial. We also show how it can be accommodated methodologically within the framework of an interfield theory. (shrink)

This article—mainly referring to the situation in Germany—consists of three parts. In a first section the current presence of neurosciences in the public discourse will be described in order to illuminate the background which is relevant for contemporary educational thinking. The prefix ‘neuro-’ is ubiquitous today and therefore concepts like ‘neuropedagogy’ or ‘neurodidactics’ seem to be in the mainstream of modern thinking. In the second part of the article the perspective changes from the public discourse to the disciplinary discourse; a (...) brief excursus into developmental psychiatry, neuropsychology and modern psychoanalysis will be made in order to demonstrate how the results of neuroscientific research are integrated in their theoretical frameworks. These three disciplines have no difficulty in integrating neuroscientific findings because each of them possesses a systematic core composed of ‘native concepts’. In contrast to them, educational theory has much more difficulty with such integration, as will be shown in the third part of the essay. On the one hand, neuroscientific thinking seems to be able to dominate education rather easily and without great resistance, especially in the fields of early childhood education, instruction and learning—mainly by simplifying educational processes and by reducing the complexity of the educational task to a mere ‘relationship problem’. On the other hand, this attraction of neuroscience in education might be understood as the reflection of a theoretical deficit in educational theory itself, with the significance of affect and emotion not receiving proper attention. (shrink)

Early Childhood and Neuroscience is a practical guide to understanding the complex and challenging subject of neuroscience and its use (and misapplication) in early childhood policy and practice. The 2nd edition has been updated throughout and includes three new chapters on: - the effects of childhood trauma - school readiness - neurodiversity It also includes a new Foreword by Laura Jana (Penn State University, USA). The book provides a balanced overview of the debates by weaving discussion on the (...) opportunities of using neuroscience in early childhood practice with examination of the limitations and ethical implications throughout the chapters. This enables students to inform their own opinions about the discipline and its use in their future practice. Clear explanations of the main terms and theories are complemented with illustrative case studies of cutting-edge research from around the world, a glossary of key terms and suggestions for further reading. Reflective discussion questions give students the chance to apply their theoretical knowledge to real-world contexts. (shrink)

This volume explores how conceptions of pragmatism set forth in American philosophy serve as orienting perspectives in psychotherapy. Drawing on the influential contributions of William James and John Dewey, the author demonstrates how realistic, comparative approaches to understanding strengthen everyday therapeutic practice. He also examines recent developments in neuroscience that shape training and practice in the broader field of psychotherapy, encompassing psychodynamic, behavioral, cognitive and humanistic traditions. By following a clinical pragmatism, psychotherapy can be viewed as an instrumental project (...) that is governed by _results_ rather than a commitment to particular theoretical perspectives, empirical findings, or technical strategies. Through a variety of case studies, this volume emphasizes the crucial role of experiential learning in change and growth, and the recognition of the person as an individual. (shrink)

In this response we address additions to as well as criticisms and possible misinterpretations of our proposal for a second-person neuroscience. We map out the most crucial aspects of our approach by (1) acknowledging that second-person engaged interaction is not the only way to understand others, although we claim that it is ontogenetically prior; (2) claiming that spectatorial paradigms need to be complemented in order to enable a full understanding of social interactions; and (3) restating that our theoretical (...) proposal not only questions the mechanism by which a cognitive process comes into being, but asks whether it is at all meaningful to speak of a mechanism and a cognitive process when it is confined to intra-agent space. We address theoretical criticisms of our approach by pointing out that while a second-person social understanding may not be the only mechanism, alternative approaches cannot hold their ground without resorting to second-person concepts, if not in the expression, certainly in the development of social understanding. In this context, we also address issues of agency and intentionality, theoretical alternatives, and clinical implications of our approach. (shrink)

In spite of the remarkable progress made in the burgeoning field of social neuroscience, the neural mechanisms that underlie social encounters are only beginning to be studied and could —paradoxically— be seen as representing the ‘dark matter’ of social neuroscience. Recent conceptual and empirical developments consistently indicate the need for investigations, which allow the study of real-time social encounters in a truly interactive manner. This suggestion is based on the premise that social cognition is fundamentally different when we (...) are in interaction with others rather than merely observing them. In this article, we outline the theoretical conception of a second-person approach to other minds and review evidence from neuroimaging, psychophysiological studies and related fields to argue for the development of a second-person neuroscience, which will help neuroscience to really go social; this may also be relevant for our understanding of psychiatric disorders construed as disorders of social cognition. (shrink)

In its origins educational neuroscience has started as an endeavor to discuss implications of neuroscience studies for education. However, it is now on its way to become a transdisciplinary field, incorporating findings, theoretical frameworks and methodologies from education, and cognitive and brain sciences. Given the differences and diversity in the originating disciplines, it has been a challenge for educational neuroscience to integrate both theoretical and methodological perspective in education and neuroscience in a coherent way. (...) We present a multi-level framework for educational neuroscience, which argues for integration of multiple levels of analysis, some originating in brain and cognitive sciences, others in education, as a roadmap for the future of educational neuroscience with concrete examples in moral education. (shrink)

A common kind of explanation in cognitive neuroscience might be called functiontheoretic: with some target cognitive capacity in view, the theorist hypothesizes that the system computes a well-defined function (in the mathematical sense) and explains how computing this function constitutes (in the system’s normal environment) the exercise of the cognitive capacity. Recently, proponents of the so-called ‘new mechanist’ approach in philosophy of science have argued that a model of a cognitive capacity is explanatory only to the extent that it (...) reveals the causal structure of the mechanism underlying the capacity. If they are right, then a cognitive model that resists a transparent mapping to known neural mechanisms fails to be explanatory. I argue that a functiontheoretic characterization of a cognitive capacity can be genuinely explanatory even absent an account of how the capacity is realized in neural hardware. (shrink)

In Flourish, the positive psychologist Martin Seligman (2011) identifies five commonly recognized factors that are characteristic of human flourishing or wellbeing: (1) “positive emotion,” (2) “relationships,” (3) “engagement,” (4) “achievement,” and (5) “meaning” (p. 24). Although there is no settled set of necessary and sufficient conditions neatly circumscribing the bounds of human flourishing (Seligman, 2011), we would mostly likely consider a person that possessed high levels of these five factors as paradigmatic or prototypical of human flourishing. Accordingly, if we wanted (...) to go about the practical task of actually increasing our level of wellbeing, we ought to do so by focusing on practically increasing the levels of the five factors that are characteristic of wellbeing. If, for instance, an activity such as musical engagement can be shown to positively influence each or all of these five factors, this would be compelling evidence that an activity such as musical engagement can positively contribute to one’s living a flourishing life. I’m of the belief that psychological research can and should be used, not only to identify and diagnose maladaptive psychological states, but identify and promote adaptive psychological states as well. In this article I advance the hypothesis and provide supporting evidence for the claim that musical engagement can positively contribute to one’s living a flourishing life. Since there has not yet been a substantive and up-to-date investigation of the possible role of music in contributing to one’s living a flourishing life, the purpose of this article is to conduct this investigation, thereby bridging the gap and stimulating discussion between the psychology of music and the psychology of wellbeing. (shrink)

This introductory chapter attempts to clarify the philosophical, empirical, and theoretical bases on which a cognitive neuroscience approach to consciousness can be founded. We isolate three major empirical observations that any theory of consciousness should incorporate, namely (1) a considerable amount of processing is possible without consciousness, (2) attention is a prerequisite of consciousness, and (3) consciousness is required for some specific cognitive tasks, including those that require durable information maintenance, novel combinations of operations, or the spontaneous generation (...) of intentional behavior. We then propose a theoretical framework that synthesizes those facts: the hypothesis of a global neuronal workspace. This framework postulates that, at any given time, many modular cerebral networks are active in parallel and process information in an unconscious manner. An information becomes conscious, however, if the neural population that represents it is mobilized by top-down attentional amplification into a brain-scale state of coherent activity that involves many neurons distributed throughout the brain. The long-distance connectivity of these `workspace neurons' can, when they are active for a minimal duration, make the information available to a variety of processes including perceptual categorization, long-term memorization, evaluation, and intentional action. We postulate that this global availability of information through the workspace is what we subjectively experience as a conscious state. A complete theory of consciousness should explain why some cognitive and cerebral representations can be permanently or temporarily inaccessible to consciousness, what is the range of possible conscious contents, how they map onto specific cerebral circuits, and whether a generic neuronal mechanism underlies all of them. We confront the workspace model with those issues and identify novel experimental predictions. Neurophysiological, anatomical, and brain-imaging data strongly argue for a major role of prefrontal cortex, anterior cingulate, and the areas that connect to them, in creating the postulated brain-scale workspace. (shrink)

It is becoming ever more accepted that investigations of mind span the brain, body, and environment. To broaden the scope of what is relevant in such investigations is to increase the amount of data scientists must reckon with. Thus, a major challenge facing scientists who study the mind is how to make big data intelligible both within and between fields. One way to face this challenge is to structure the data within a framework and to make it intelligible by means (...) of a common theory. Radical embodied cognitive neuroscience can function as such a framework, with dynamical systems theory as its methodology, and self-organized criticality as its theory. (shrink)

This paper offers a novel view of unity in neuroscience. I set out by discussing problems with the classical account of unity-by-reduction, due to Oppenheim and Putnam. That view relies on a strong notion of levels, which has substantial problems. A more recent alternative, the mechanistic “mosaic” view due to Craver, does not have such problems. But I argue that the mosaic ideal of unity is too minimal, and we should, if possible, aspire for more. Relying on a number (...) of recent works in theoretical neuroscience—network motifs, canonical neural computations and design-principles—I then present my alternative: a “flat” view of unity, i.e. one that is not based on levels. Instead, it treats unity as attained via the identification of recurrent explanatory patterns, under which a range of neuroscientific phenomena are subsumed. I develop this view by recourse to a causal conception of explanation, and distinguish it from Kitcher’s view of explanatory unification and related ideas. Such a view of unity is suitably ambitious, I suggest, and has empirical plausibility. It is fit to serve as an appropriate working hypothesis for 21st century neuroscience. (shrink)

The Unconscious in Neuroscience and Psychoanalysis presents a unique and provocative approach to the assimilation of these two disciplines while offering a thorough assessment of the Unconscious from a neuropsychoanalytic and Lacanian perspective. Marco Máximo Balzarini offers a comprehensive overview of Freud's theory of the unconscious and its importance within psychoanalysis, before looking to how it has been integrated into contemporary neuropsychoanalytic work. Paying close attention to the field-defining work of neuropsychoanalysts such as Mark Solms, Francois Ansermet and Pierre (...) Magistretti, Balzarini considers the dichotomy between neuroscience and psychoanalysis, and the omnipresent debate on if and how they should be integrated when working with the unconscious. Throughout, he provides a fascinating Lacanian interpretation, showing how the work of Lacan can offer a new way of developing the dialogue and understanding around this vital topic. Part of the Routledge Neuropsychoanalysis Series, this book will be of interest to any psychoanalyst seeking to explore the foundations of the relationship between neuropsychoanalytic and Lacanian ideas in their clinical and theoretical work. (shrink)

Neuropsychological research on the neural basis of behaviour generally posits that brain mechanisms will ultimately suffice to explain all psychologically described phenomena. This assumption stems from the idea that the brain is made up entirely of material particles and fields, and that all causal mechanisms relevant to neuroscience can therefore be formulated solely in terms of properties of these elements. Thus, terms having intrinsic mentalistic and/or experiential content (e.g. ‘feeling’, ‘knowing’ and ‘effort’) are not included as primary causal factors. (...) This theoretical restriction is motivated primarily by ideas about the natural world that have been known to be fundamentally incorrect for more than three-quarters of a century. Contemporary basic physical theory differs profoundly from classic physics on the important matter of how the consciousness of human agents enters into the structure of empirical phenomena. The new principles contradict the older idea that local mechanical processes alone can account for the structure of all observed empirical data. Contemporary physical theory brings directly and irreducibly into the overall causal structure certain psychologically described choices made by human agents about how they will act. This key development in basic physical theory is applicable to neuroscience, and it provides neuroscientists and psychologists with an alternative conceptual framework for describing neural processes. Indeed, owing to certain structural features of ion channels critical to synaptic function, contemporary physical theory must in principle be used when analysing human brain dynamics. The new framework, unlike its classic-physics-based predecessor, is erected directly upon, and is compatible with, the prevailing principles of physics. It is able to represent more adequately than classic concepts the neuroplastic mechanisms relevant to the growing number of empirical studies of the capacity of directed attention and mental effort to systematically alter brain function.. (shrink)

`This is an exceptionally good textbook. It covers an unusually wide range of issues in an up-to-date and balanced fashion, and is clearly written. It would be invaluable for all students, both undergraduates and postgraduates, who take a genuine interest in the nature of psychology and the theoretical issues it faces' - Professor Graham Richards, Director, British Psychological Society History of Psychology Centre Psychology is understood by many as the `science of the mind', but what is `mind' and what (...) have modern psychology and philosophy to say about its nature? What is `science' and what is a scientific approach to mind? This thoroughly revised edition o the classic textbook explores a wide range of problems in psychology, philosophy, cognitive and brains sciences identifying the major topics, debates and controversies and presenting them in a balanced and accessible manner for students. Key features of this Second Edition include: } A new, ten chapter structure making it ideal for a lecture course; } Contains new content on advances in cognitive psychology and neuroscience, including neural networks, dynamics systems and situated cognition; } Final chapter focuses on `hot issues' at the interface of psychology and philosophy - making attempts to look forward. } Pedagogical features including chapter summaries and further readings. Brought fully up-to-date with advances in computational, cognitive and neuroscience work on the one hand, and links with philosophy on the other, this book is essential reading for all students needing an understanding of these issues. (shrink)

Many questions concerning the nature of the mind have remained intractable since their first systematic discussion by the ancient Greeks. What is the nature of knowledge, and how is it possible to represent the world? What are consciousness and free will? What is the self and how is it that some organisms are more intelligent than others? Since it is now overwhelmingly evident that these are phenomena of the physical brain, it is not surprising that an established empirical and (...) class='Hi'>theoretical foundation in this domain has eluded us for so long. For in order to understand what we are and how we work, we must understand the brain and how it works. Yet the brain is exceedingly difficult to study, and research on any significant scale is critically dependent on advanced technology. (shrink)

This book investigates the philosophical, empirical, and theoretical bases on which a cognitive neuroscience of consciousness can be founded.

It is by now a well-supported hypothesis in cognitive neuroscience that there exists a functional network for the moral appraisal of situations. However, there is a surprising disagreement amongst researchers about the significance of this network for moral actions, decisions, and behavior. Some researchers suggest that we should uncover those ethics [that are built into our brains ], identify them, and live more fully by them, while others claim that we should often do the opposite, viewing the cognitive (...) class='Hi'>neuroscience of morality more like a science of pathology. To analyze and evaluate the disagreement, this paper will investigate some of its possible sources. These may include theoretical confusions about levels of explanation in cognitive science, or different senses of ‘morality’ that researchers are looking to explain. Other causes of the debate may come from empirical assumptions about how possible or preferable it is to separate intuitive moral appraisal from moral decisions. Although we will tentatively favor the ‘Set Aside’ approach, the questions outlined here are open areas of ongoing research, and this paper will be confined to outlining the position space of the debate rather than definitively resolving it. (shrink)

These two books on fictional narratives and neuroscience adopt cultural constructivist perspectives that reject the idea of evolved human motives and emotions. Both books contain information that could be integrated with other research in a comprehensive and empirically grounded theory of narrative, but they both fail to construct any such theory. In order to avoid subordinating the humanities to the sciences, Comer and Taggart avoid integrating their separate disciplines: neuroscience (Comer) and narrative theory (Tag­gart). They draw no significant (...) conclusions from the research they summarize. Armstrong subordinates neuroscience to the paradoxes of phenomenology and 4E cognition. His prose develops not by consecutive reasoning but by the repetitive intonation of paradoxical formulas. The failures in theoretical construction displayed by these two books run parallel with weaknesses in the interpretive criticism with which they illustrate their ideas. The different ways in which the books fail are sometimes comical but nonetheless instructive. The failures inadvertently point toward the radical changes in humanist thinking that would be necessary for success in integrating neuroscience and narrative theory. (shrink)

This paper presents the work of philosopher Susanne Langer and argues that her conceptualization of the human mind can provide psychoanalysts with a unique framework with which to theoretically combine interpretive and biological approaches to their work. Langer’s earlier work in the philosophy of symbols directs her investigation into the biological sciences along the lines of sentience and imagination, which in turn become the cornerstones of her theory of mind. Langer’s understanding of the continuing transformation of affect into language is (...) a decisive contribution yet to be built upon by others. (shrink)

This carefully designed, multi-authored textbook covers a broad range of theoretical issues in cognitive science, psychology, and neuroscience. With accessible language, a uniform structure, and many pedagogical features, Mind, Cognition, and Neuroscience: A Philosophical Introduction is the best high-level overview of this area for an interdisciplinary readership of students. Written specifically for this volume by experts in their fields who are also experienced teachers, the book’s thirty chapters are organized into the following parts: I. Background Knowledge, II. (...) Classical Debates, III. Consciousness, IV. Crossing Boundaries. -/- Each chapter starts with relevant key words and definitions and a chapter overview, then presents historical coverage of the topic, explains and analyzes contemporary debates, and ends with a sketch of cutting edge research. A list of suggested readings and helpful discussion topics conclude each chapter. This uniform, student-friendly design makes it possible to teach a cohort of both philosophy and interdisciplinary students without assuming prior understanding of philosophical concepts, cognitive science, or neuroscience. -/- Key Features: -/- Synthesizes the now decades-long explosion of scientifically informed philosophical research in the study of mind. Expands on the offerings of other textbooks by including chapters on language, concepts and non-conceptual content, and animal cognition. Offers the same structure in each chapter, moving the reader through an overview, historical coverage, contemporary debates, and finally cutting-edge research. Packed with pedagogical features, like defined Key Terms, Suggested Readings, and Discussion Questions for each chapter, as well as a General Glossary. Provides readers with clear, chapter-long introductions to Cognitive Neuroscience, Molecular and Cellular Cognition, Experimental Methods in Cognitive Neuroscience, Philosophy of Mind, Philosophy of Science, Metaphysical Issues, and Epistemic Issues. (shrink)

Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Fundamentals of Computational Neuroscience is the first introductory book to this topic. It introduces the theoretical foundations of neuroscience with a focus on understanding information processing in the brain. The book is aimed at those within the brain and cognitive sciences, from graduate level and upwards.

According to deontic justice theory, individuals often feel principled moral obligations to uphold norms of justice. That is, standards of justice can be valued for their own sake, even apart from serving self-interested goals. While a growing body of evidence in business ethics supports the notion of deontic justice, skepticism remains. This hesitation results, at least in part, from the absence of a coherent framework for explaining how individuals produce and experience deontic justice. To address this need, we argue that (...) a compelling, yet still missing, step is to gain further understanding into the underlying neural and psychological mechanisms of deontic justice. Here, we advance a theoretical model that disentangles three key processes of deontic justice: The use of justice rules to assess events, cognitive empathy, and affective empathy. Together with reviewing neural systems supporting these processes, broader implications of our model for business ethics scholarship are discussed. (shrink)

The use of neuroscientific evidence in criminal trials has been steadily increasing. Despite progress made in recent decades in understanding the mechanisms of psychological and behavioral functioning, neuroscience is still in an early stage of development and its potential for influencing legal decision-making is highly contentious. Scholars disagree about whether or how neuroscientific evidence might impact prescriptions of criminal culpability, particularly in instances in which evidence of an accused’s history of mental illness or brain abnormality is offered to support (...) a plea of not criminally responsible. In the context of these debates, philosophers and legal scholars have identified numerous problems with admitting neuroscientific evidence in legal contexts. To date, however, less has been said about the challenges of evaluating the evidence upon which integrative mechanistic explanations that bring together evidence from different areas of neuroscience are based. As we explain, current criteria for evaluating such evidence to determine its admissibility in legal contexts are inadequate. Appealing to literature in the philosophy of scientific experimentation and theoretical work in the social, cognitive and behavioral sciences, we lay the groundwork for reforming these criteria and identify some of the implications of modifying them. (shrink)

The definitive guide to 21st century investigations of multilingual neuroscience provides a comprehensive survey of neurocognitive investigations of multiple-language speakers. Prominent scholar John W. Schwieter offers a unique collection of works from globally recognized researchers in neuroscience, psycholinguistics, neurobiology, psychology, neuroimaging, and others, to provide a multidisciplinary overview of relevant topics. Authoritative coverage of state-of-the-art research provides readers with fundamental knowledge of significant theories and methods, language impairments and disorders, and neural representations, functions, and processes of the multilingual (...) brain.Focusing on up-to-date theoretical and experimental research, this timely handbook explores new directions of study and examines significant findings in the rapidly evolving field of multilingual neuroscience. Discussions on the bilingual advantage debate, recovery and rehabilitation patterns in multilingual aphasia, and the neurocognitive effects of multilingualism throughout the lifespan allow informed investigation of contemporary issues. Presents the first handbook-length examination of the neuroscience and neurolinguistics of multilingualism. Demonstrates how neuroscience and multilingualism intersect several areas of research, such as neurobiology and experimental psychology Includes works from prominent international scholars and researchers to provide global perspective Reflects cutting-edge research and promising areas of future study in the dynamic field of multilingual neuroscience. it is an invaluable resource for researchers and scholars in areas including multilingualism, psycholinguistics, second language acquisition, and cognitive science. This versatile work is also an indispensable addition to the classroom, providing advanced undergraduate and graduate students a thorough overview of the field. (shrink)

Neuropsychological research on the neural basis of behaviour generally posits that brain mechanisms will ultimately suffice to explain all psychologically described phenomena. This assumption stems from the idea that the brain is made up entirely of material particles and fields, and that all causal mechanisms relevant to neuroscience can therefore be formulated solely in terms of properties of these elements. Thus, terms having intrinsic mentalistic and/or experiential content (e.g. ‘feeling’, ‘knowing’ and ‘effort’) are not included as primary causal factors. (...) This theoretical restriction is motivated primarily by ideas about the natural world that have been known to be fundamentally incorrect for more than three-quarters of a century. Contemporary basic physical theory differs profoundly from classic physics on the important matter of how the consciousness of human agents enters into the structure of empirical phenomena. The new principles contradict the older idea that local mechanical processes alone can account for the structure of all observed empirical data. Contemporary physical theory brings directly and irreducibly into the overall causal structure certain psychologically described choices made by human agents about how they will act. This key development in basic physical theory is applicable to neuroscience, and it provides neuroscientists and psychologists with an alternative conceptual framework for describing neural processes. Indeed, owing to certain structural features of ion channels critical to synaptic function, contemporary physical theory must in principle be used when analysing human brain dynamics. The new framework, unlike its classic-physics-based predecessor, is erected directly upon, and is compatible with, the prevailing principles of physics. It is able to represent more adequately than classic concepts the neuroplastic mechanisms relevant to the growing number of empirical studies of the capacity of directed attention and mental effort to systematically alter brain function.. (shrink)

This book explores the mind-body issue from both the perspectives of philosophy of mind and philosophy of science. Starting from the problem of mental causation, it provides an overview of the contemporary metaphysical discussion and argues in favour of the token-identity thesis, as the only position that can account for the causal efficacy of the mental. Showing furthermore that this ontological reductionism is not dissociable from epistemological reductionism, the author applies a new strategy of inter-theoretic reduction, which is compatible with (...) the multiple realizability of mental properties. Using functionally defined sub-types, this account establishes a conservative reduction of psychology to neuroscience, which vindicates both the scientific legitimacy and the theoretical indispensability of psychology. This account is illustrated by several empirical examples borrowed from contemporary neuroscience. (shrink)

Flow is a state of full task engagement that is accompanied with low-levels of self-referential thinking. Flow is considered highly relevant for human performance and well-being and has, therefore, been studied extensively. Yet, the neurocognitive processes of flow remain largely unclear. In the present mini-review we focus on how the brain's locus coeruleus-norepinephrine (LC-NE) system may be involved in a range of behavioral and subjective manifestations of flow. The LC-NE system regulates decisions regarding task engagement vs. disengagement. This is doneviadifferent (...) modes of baseline and stimulus-evoked norepinephrine release. We emphasize the theoretical and empirical overlap between the LC-NE system and flow. For both, a match between a person's skill and task challenge is important in order to induce high levels task-related attention. Moreover, psychophysiological indicators of LC-NE system activity, such as eye pupil diameter and arousal are also sensitive to flow states. Flow is related to arousal in an inverted U-shape. Similarly, in theories on the LC-NE system, task engagement is highest with intermediate levels of arousal. We argue that knowledge about the role of the LC-NE system in establishing the flow experience may help to gain fundamental knowledge of flow and can contribute to unifying various empirical findings on this topic. (shrink)

Philosophers and psychologists seeking an accessible introduction to current neuroscience will find much value in this volume. Befitting the neuroscientific focus on sensory processes, many essays address explicitly the binding problem. Theoretical and experimental work pertaining to the “temporal synchronicity” solution is prominent. But there are also some surprising implications for current philosophical concerns, such as the intemalism/extemalism debate about representational content, epistemological realism, a “bottom-up” approach to naturalizing intentionality, Humean concerns about the self, and implications from phantom-limb (...) phenomena. Higher-level theorists about the mind ignore results like these from current neuroscience at their own peril, at least from the point of view of discourse worthy of serious attention as the sciences of the mind/brain push forward into the 21st century. (shrink)

According to a growing trend in theoretical neuroscience, the human perceptual system is akin to a Bayesian machine. The aim of this article is to clearly articulate the claims that perception can be considered Bayesian inference and that the brain can be considered a Bayesian machine, some of the epistemological challenges to these claims; and some of the implications of these claims. We address two questions: (i) How are Bayesian models used in theoretical neuroscience? (ii) From (...) the use of Bayesian models in theoretical neuroscience, have we learned or can we hope to learn that perception is Bayesian inference or that the brain is a Bayesian machine? From actual practice in theoretical neuroscience, we argue for three claims. First, currently Bayesian models do not provide mechanistic explanations; instead they are useful devices for predicting and systematizing observational statements about people's performances in a variety of perceptual tasks. That is, currently we should have an instrumentalist attitude towards Bayesian models in neuroscience. Second, the inference typically drawn from Bayesian behavioural performance in a variety of perceptual tasks to underlying Bayesian mechanisms should be understood within the three-level framework laid out by David Marr ( [1982] ). Third, we can hope to learn that perception is Bayesian inference or that the brain is a Bayesian machine to the extent that Bayesian models will prove successful in yielding secure and informative predictions of both subjects' perceptual performance and features of the underlying neural mechanisms. (shrink)

Cognition and behavior are the result of neural processes occurring at multiple levels of organization. Synthetic computational approaches are capable of bridging the gaps between multiple organizational levels and contribute to our understanding of how neural structures give rise to specific dynamical states. Such approaches are indispensable for formulating the theoretical foundations of cognitive neuroscience.

This chapter contains sections titled: Is Simulation a Natural Category? Simulation and Respects of Similarity Simulation and Motor Cognition Simulation and Face‐based Emotion Attribution Simulation is a Robust and Theoretically Interesting Category References.