Results for 'Cognitive neuroscience'

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  1. The Cognitive Neuroscience Revolution.Worth Boone & Gualtiero Piccinini - 2016 - Synthese 193 (5):1509-1534.
    We outline a framework of multilevel neurocognitive mechanisms that incorporates representation and computation. We argue that paradigmatic explanations in cognitive neuroscience fit this framework and thus that cognitive neuroscience constitutes a revolutionary break from traditional cognitive science. Whereas traditional cognitive scientific explanations were supposed to be distinct and autonomous from mechanistic explanations, neurocognitive explanations aim to be mechanistic through and through. Neurocognitive explanations aim to integrate computational and representational functions and structures across multiple levels (...)
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  2.  27
    Radical Embodied Cognitive Neuroscience: Addressing “Grand Challenges” of the Mind Sciences.Luis H. Favela - 2014 - Frontiers in Human Neuroscience 8:01-10.
    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 (...)
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  3. Model-Based Cognitive Neuroscience: Multifield Mechanistic Integration in Practice.Mark Povich - 2019 - Theory & Psychology 5 (29):640–656.
    Autonomist accounts of cognitive science suggest that cognitive model building and theory construction (can or should) proceed independently of findings in neuroscience. Common functionalist justifications of autonomy rely on there being relatively few constraints between neural structure and cognitive function (e.g., Weiskopf, 2011). In contrast, an integrative mechanistic perspective stresses the mutual constraining of structure and function (e.g., Piccinini & Craver, 2011; Povich, 2015). In this paper, I show how model-based cognitive neuroscience (MBCN) epitomizes (...)
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  4. Cognitive Neuroscience and Animal Consciousness.Matteo Grasso - 2014 - In Sofia Bonicalzi, Leonardo Caffo & Mattia Sorgon (eds.), Naturalism and Constructivism in Metaethics. Newcastle Upon Tyne, UK: Cambridge Scholars Press. pp. 182-203.
    The problem of animal consciousness has profound implications on our concept of nature and of our place in the natural world. In philosophy of mind and cognitive neuroscience the problem of animal consciousness raises two main questions (Velmans, 2007): the distribution question (“are there conscious animals beside humans?”) and the phenomenological question (“what is it like to be a non-human animal?”). In order to answer these questions, many approaches take into account similarities and dissimilarities in animal and human (...)
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  5.  86
    Connecting Education and Cognitive Neuroscience: Where Will the Journey Take Us?Daniel Ansari, Donna Coch & Bert De Smedt - 2011 - Educational Philosophy and Theory 43 (1):37-42.
    In recent years there have been growing calls for forging greater connections between education and cognitive neuroscience. As a consequence great hopes for the application of empirical research on the human brain to educational problems have been raised. In this article we contend that the expectation that results from cognitive neuroscience research will have a direct and immediate impact on educational practice are shortsighted and unrealistic. Instead, we argue that an infrastructure needs to be created, principally (...)
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  6.  39
    Intentional Concepts in Cognitive Neuroscience.Samuli Pöyhönen - 2014 - Philosophical Explorations 17 (1):93-109.
    In this article, I develop an account of the use of intentional predicates in cognitive neuroscience explanations. As pointed out by Maxwell Bennett and Peter Hacker, intentional language abounds in neuroscience theories. According to Bennett and Hacker, the subpersonal use of intentional predicates results in conceptual confusion. I argue against this overly strong conclusion by evaluating the contested language use in light of its explanatory function. By employing conceptual resources from the contemporary philosophy of science, I show (...)
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  7.  31
    Experimental Knowledge in Cognitive Neuroscience.Emrah Aktunc - 2011 - Dissertation, Virginia Tech
    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 (...)
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  8.  84
    Can Cognitive Neuroscience Ground a Science of Learning?Anthony E. Kelly - 2011 - Educational Philosophy and Theory 43 (1):17-23.
    In this article, I review recent findings in cognitive neuroscience in learning, particularly in the learning of mathematics and of reading. I argue that while cognitive neuroscience is in its infancy as a field, theories of learning will need to incorporate and account for this growing body of empirical data.
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  9. What is the “Cognitive” in Cognitive Neuroscience?Carrie Figdor - 2013 - Neuroethics 6 (1):105-114.
    This paper argues that the cognitive neuroscientific use of ordinary mental terms to report research results and draw implications can contribute to public confusion and misunderstanding regarding neuroscience results. This concern is raised at a time when cognitive neuroscientists are increasingly required by funding agencies to link their research to specific results of public benefit, and when neuroethicists have called for greater attention to public communication of neuroscience. The paper identifies an ethical dimension to the problem (...)
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  10. Bounded Mirroring. Joint Action and Group Membership in Political Theory and Cognitive Neuroscience.Machiel Keestra - 2012 - In Frank Vandervalk (ed.), Thinking About the Body Politic: Essays on Neuroscience and Political Theory. Routledge. pp. 222--249.
    A crucial socio-political challenge for our age is how to rede!ne or extend group membership in such a way that it adequately responds to phenomena related to globalization like the prevalence of migration, the transformation of family and social networks, and changes in the position of the nation state. Two centuries ago Immanuel Kant assumed that international connectedness between humans would inevitably lead to the realization of world citizen rights. Nonetheless, globalization does not just foster cosmopolitanism but simultaneously yields the (...)
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  11.  77
    Towards Integrating Husserlian Phenomenology with Cognitive Neuroscience of Consciousness.Eduard Marbach - 2007 - Synthesis Philosophica 22 (2):385-400.
    The paper presents, first, some general remarks about Husserl’s philosophical Phenomenology in view of relating it to the scientific study of consciousness, and recalls some of the basic methodological tenets of a Husserlian phenomenology of consciousness (I). It then introduces some recent work on so-called “mental imagery” in cognitive psychology and neuroscience (II). Next, a detailed exposition of a reflective analysis of conscious experiences that involve “imagery” or “images” is given (III), arguing thereby that reflective conceptual clarifications of (...)
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  12. Cognitive Neuroscience: The Troubled Marriage of Cognitive Science and Neuroscience.Richard P. Cooper & Tim Shallice - 2010 - Topics in Cognitive Science 2 (3):398-406.
    We discuss the development of cognitive neuroscience in terms of the tension between the greater sophistication in cognitive concepts and methods of the cognitive sciences and the increasing power of more standard biological approaches to understanding brain structure and function. There have been major technological developments in brain imaging and advances in simulation, but there have also been shifts in emphasis, with topics such as thinking, consciousness, and social cognition becoming fashionable within the brain sciences. The (...)
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  13. Hypnosis and Conscious States: The Cognitive Neuroscience Perspective.Graham Jamieson (ed.) - 2007 - Oxford University Press.
    The phenomenon of hypnosis provides a rich paradigm for those seeking to understand the processes that underlie consciousness. Understanding hypnosis tells us about a basic human capacity for altered experiences that is often overlooked in contemporary western societies. Throughout the 200 year history of psychology, hypnosis has been a major topic of investigation by some of the leading experimenters and theorists of each generation. Today hypnosis is emerging again as a lively area of research within cognitive (systems level) (...) informing basic questions about the structure and biological basis of conscious states. This book describes the latest advances in understanding hypnosis and similar trance states by researchers within the neuroscience of consciousness. It contains many new and exciting contributions from up and coming researchers and provides a lively debate on methodological and theoretical issues central to the development of emerging research paradigms in the neuroscience of conscious states. The book introduces and describes many of the recent new tools that have become available to researchers in this field. Academics, researchers, and clinicians wanting to develop their knowledge of the latest findings, theories and methods in the scientific study of hypnosis and related states of consciousness will find this an up to date guide to this rapidly advancing field. (shrink)
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  14. Aligning Multiple Research Techniques in Cognitive Neuroscience: Why Is It Important?William Bechtel - 2002 - Philosophy of Science 69 (S3):S48-S58.
    The need to align multiple experimental procedures and produce converging results so as to demonstrate that the phenomenon under investigation is real and not an artifact is a commonplace both in scientific practice and discussions of scientific methodology (Campbell and Stanley 1963; Wimsatt 1981). Although sometimes this is the purpose of aligning techniques, often there is a different purpose—multiple techniques are sought to supply different perspectives on the phenomena under investigation that need to be integrated to answer the questions scientists (...)
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  15. Mechanism and Explanation in Cognitive Neuroscience.Jeffrey S. Poland & Barbara Von Eckardt - 2004 - Philosophy of Science 71 (5):972-984.
    The aim of this paper is to examine the usefulness of the Machamer, Darden, and Craver (2000) mechanism approach to gaining an understanding of explanation in cognitive neuroscience. We argue that although the mechanism approach can capture many aspects of explanation in cognitive neuroscience, it cannot capture everything. In particular, it cannot completely capture all aspects of the content and significance of mental representations or the evaluative features constitutive of psychopathology.
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  16.  9
    Pseudo‐Mechanistic Explanations in Psychology and Cognitive Neuroscience.Bernhard Hommel - forthcoming - Topics in Cognitive Science.
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  17. Consciousness in Philosophy and Cognitive Neuroscience.Antti Revonsuo & Matti Kamppinen (eds.) - 1994 - Lawrence Erlbaum.
    Consciousness seems to be an enigmatic phenomenon: it is difficult to imagine how our perceptions of the world and our inner thoughts, sensations and feelings could be related to the immensely complicated biological organ we call the brain. This volume presents the thoughts of some of the leading philosophers and cognitive scientists who have recently participated in the discussion of the status of consciousness in science. The focus of inquiry is the question: "Is it possible to incorporate consciousness into (...)
     
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  18. Naturalizing Aesthetics: Art and the Cognitive Neuroscience of Vision.William Seeley - 2006 - Journal of Visual Arts Practice 5 (3):195-213.
    Recent advances in out understanding of the cognitive neuroscience of perception have encouraged cognitive scientists and scientifically minded philosophers to turn their attention towards art and the problems of philosophical aesthetics. This cognitive turn does not represent an entirely novel paradigm in the study of art. Alexander Baumgarten originally introduced the term ‘aesthetics’ to refer to a science of perception. Artist’s formal methods are a means to cull the structural features necessary for constructing clear perceptual representations (...)
     
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  19.  92
    Similarity-Based Cognition: Radical Enactivism Meets Cognitive Neuroscience.Miguel Segundo-Ortin & Daniel D. Hutto - 2019 - Synthese:1-19.
    Similarity-based cognition is commonplace. It occurs whenever an agent or system exploits the similarities that hold between two or more items—e.g., events, processes, objects, and so on—in order to perform some cognitive task. This kind of cognition is of special interest to cognitive neuroscientists. This paper explicates how similarity-based cognition can be understood through the lens of radical enactivism and why doing so has advantages over its representationalist rival, which posits the existence of structural representations or S-representations. Specifically, (...)
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  20. Mental Mechanisms: Philosophical Perspectives on Cognitive Neuroscience.William Bechtel - 2007 - Psychology Press.
    A variety of scientific disciplines have set as their task explaining mental activities, recognizing that in some way these activities depend upon our brain. But, until recently, the opportunities to conduct experiments directly on our brains were limited. As a result, research efforts were split between disciplines such as cognitive psychology, linguistics, and artificial intelligence that investigated behavior, while disciplines such as neuroanatomy, neurophysiology, and genetics experimented on the brains of non-human animals. In recent decades these disciplines integrated, and (...)
     
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  21. On Some Unwarranted Tacit Assumptions in Cognitive Neuroscience.Rainer Mausfeld - 2012 - Frontiers in Cognition 3 (67):1-13.
    The cognitive neurosciences are based on the idea that the level of neurons or neural networks constitutes a privileged level of analysis for the explanation of mental phenomena. This paper brings to mind several arguments to the effect that this presumption is ill-conceived and unwarranted in light of what is currently understood about the physical principles underlying mental achievements. It then scrutinizes the question why such conceptions are nevertheless currently prevailing in many areas of psychology. The paper argues that (...)
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  22.  13
    Theology and the Science of Moral Action: Virtue Ethics, Exemplarity, and Cognitive Neuroscience.James A. Van Slyke (ed.) - 2012 - Routledge.
    More particularly, the book evaluates the concept of moral exemplarity and its significance in philosophical and theological ethics as well as for ongoing research programs in the cognitive sciences.
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  23.  7
    “Áll Trádes, Their Gear and Tackle and Trim”: Theology, Cognitive Neuroscience, and Psychoneuroimmunology in Transversal Dialogue.Pat Bennett - 2019 - Zygon 54 (1):129-148.
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  24.  20
    Phenomenology and Cognitive Neuroscience: Can a Process Ontology Help Resolve the Impasse?Ross Pain - 2018 - Australasian Philosophical Review 2 (2):204-208.
    Shaun Gallagher [2019] argues for a ‘non-classical’ conception of nature, which includes subjects as irreducible constituents. As such, first-person phenomenology can be naturalised and at the same time resist reduction to the third-person. In the first part of this paper, I raise three concerns for the claim that nature is irreducibly subject-involving. In the second part of the paper, I suggest that embracing a process ontology could help strengthen Gallagher’s proposal.
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  25. Changing Minds: Mind, Consciousness, and Identity in Patañjali's Yoga--Sūtra and Cognitive Neuroscience.Michele Marie Desmarais - 2008 - Motilal Banarsidass Publishers.
  26. Mental Models and the Mind: Current Developments in Cognitive Psychology, Neuroscience, and Philosophy of Mind.Carsten Held, Markus Knauff & Gottfried Vosgerau (eds.) - 2006 - Elsevier.
    "Cognitive psychology," "cognitive neuroscience," and "philosophy of mind" are names for three very different scientific fields, but they label aspects of the same scientific goal: to understand the nature of mental phenomena. Today, the three disciplines strongly overlap under the roof of the cognitive sciences. The book's purpose is to present views from the different disciplines on one of the central theories in cognitive science: the theory of mental models. Cognitive psychologists report their research (...)
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  27.  7
    Cognitive Neuroscience.M. D. Rugg (ed.) - 1997 - MIT Press.
    The nine chapters of this book, written by leading authorities in their fields, cover major topics in cognitive neuroscience, including noninvasive measurement ...
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  28. Towards a Cognitive Neuroscience of Consciousness: Basic Evidence and a Workspace Framework.Stanislas Dehaene & Lionel Naccache - 2001 - Cognition 79 (1):1-37.
  29. What is the Cognitive Neuroscience of Art…and Why Should We Care?William Seeley - 2011 - American Society for Aesthetics Newsletter 31 (2):1-4.
  30. Sensible Models in Cognitive Neuroscience.Arthur Piper - 2006 - In Analecta Husserliana: The Yearbook of Phenomenological Research, Volume Xd. Dordrecht: Springer.
  31. Art, Aesthetics, and Cognitive Neuroscience.William Seeley - 2006 - In H. Gottesdiener and J. C. Vilatte (ed.), Culture and Communication: Proceedings of the International Association of Empirical Aesthetics, Volume XIX. pp. 781-784.
     
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  32. Experimentation in Cognitive Neuroscience and Cognitive Neurobiology.Jacqueline Anne Sullivan - 2015 - In Jens Clausen Neil Levy (ed.), Handbook on Neuroethics. Springer.
    Neuroscience is a laboratory-based science that spans multiple levels of analysis from molecular genetics to behavior. At every level of analysis experiments are designed in order to answer empirical questions about phenomena of interest. Understanding the nature and structure of experimentation in neuroscience is fundamental for assessing the quality of the evidence produced by such experiments and the kinds of claims that are warranted by the data. This article provides a general conceptual framework for thinking about evidence and (...)
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  33.  80
    Cognitive Science and Neuroscience: New Wave Reductionism.Robert C. Richardson - 1999 - Philosopical Psychology 12 (3):297-307.
    John Bickle's Psychoneural reduction: the new wave (Cambridge, MA: MIT Press, 1998) aims to resurrect reductionism within philosophy of mind. He develops a new model of scientific reduction, geared to enhancing our understanding of how theories in neuroscience and cognitive science are interrelated. I put this discussion in context, and assess the prospects for new wave reductionism, both as a general model of scientific reduction and as an attempt to defend reductionism in the philosophy of mind.
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  34.  53
    Cognitive Neuroscience of Consciousness: A Review Article. [REVIEW]Bill Faw - 2004 - Journal of Consciousness Studies 11 (2):69-72.
    When the cognitive neuroscience of consciousness is finally written, it will likely have many of the elements documented in this fine book. My review is relatively detailed because, out of fourteen authors of the eight articles in this book, only four have previously appeared in the Journal of Consciousness Studies. Stanislas Dehaene , The Cognitive Neuroscience of Consciousness Cambridge, MA: MIT Press, 2001, pp. 243 price $40.00 ISBN 0-262-54131-9.
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  35. Previews and Prospects for the Cognitive Neuroscience of Hypnosis and Conscious States.Graham A. Jamieson - 2007 - In Graham Jamieson (ed.), Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford University Press. pp. 1-11.
  36.  89
    When the Self Represents the Other: A New Cognitive Neuroscience View on Psychological Identification.Jean Decety & Thierry Chaminade - 2003 - Consciousness and Cognition 12 (4):577-596.
    There is converging evidence from developmental and cognitive psychology, as well as from neuroscience, to suggest that the self is both special and social, and that self-other interaction is the driving force behind self-development. We review experimental findings which demonstrate that human infants are motivated for social interactions and suggest that the development of an awareness of other minds is rooted in the implicit notion that others are like the self. We then marshal evidence from functional neuroimaging explorations (...)
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  37.  92
    Explanation and Reduction in the Cognitive Neuroscience Approach to the Musical Meaning Problem.Tomasz Szubart - 2019 - In Andrej Démuth (ed.), The Cognitive Aspects of Aesthetic Experience – Selected Problems. Berlin: Peter Lang. pp. 39-50.
    The aim of this paper is to refer basic philosophical approaches to the problem of musical meaning and, on the other hand, to describe some examples of the research on musical meaning found in the field of cognitive neuroscience. By looking at those two approaches together it can be seen that there is still no agreement on how musical meaning should be understood, often due to several methodological problems of which the most important seem to be the possibility (...)
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  38.  38
    Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience.J. Brendan Ritchie, David Michael Kaplan & Colin Klein - 2019 - British Journal for the Philosophy of Science 70 (2):581-607.
    Since its introduction, multivariate pattern analysis, or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: (...)
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  39. Towards a Cognitive Neuroscience of Intentionality.Alex Morgan & Gualtiero Piccinini - 2018 - Minds and Machines 28 (1):119-139.
    We situate the debate on intentionality within the rise of cognitive neuroscience and argue that cognitive neuroscience can explain intentionality. We discuss the explanatory significance of ascribing intentionality to representations. At first, we focus on views that attempt to render such ascriptions naturalistic by construing them in a deflationary or merely pragmatic way. We then contrast these views with staunchly realist views that attempt to naturalize intentionality by developing theories of content for representations in terms of (...)
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  40.  36
    From Symbols to Icons: The Return of Resemblance in the Cognitive Neuroscience Revolution.Daniel Williams & Lincoln Colling - 2018 - Synthese 195 (5):1941-1967.
    We argue that one important aspect of the “cognitive neuroscience revolution” identified by Boone and Piccinini :1509–1534. doi: 10.1007/s11229-015-0783-4, 2015) is a dramatic shift away from thinking of cognitive representations as arbitrary symbols towards thinking of them as icons that replicate structural characteristics of their targets. We argue that this shift has been driven both “from below” and “from above”—that is, from a greater appreciation of what mechanistic explanation of information-processing systems involves, and from a greater appreciation (...)
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  41.  31
    The Cognitive Neuroscience of Working Memory.Naoyuki Osaka, Robert H. Logie & Mark D'Esposito (eds.) - 2007 - Oxford University Press.
    Working memory has been one of the most intensively studied systems in cognitive psychology. The Cognitive Neuroscience of Working Memory brings together world class researchers from around the world to summarise our current knowledge of this field, and directions for future research.
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  42. Generous or Parsimonious Cognitive Architecture? Cognitive Neuroscience and Theory of Mind: Articles.Philip Gerrans & Valerie E. Stone - 2008 - British Journal for the Philosophy of Science 59 (2):121-141.
    Recent work in cognitive neuroscience on the child's Theory of Mind has pursued the idea that the ability to metarepresent mental states depends on a domain-specific cognitive subystem implemented in specific neural circuitry: a Theory of Mind Module. We argue that the interaction of several domain-general mechanisms and lower-level domain-specific mechanisms accounts for the flexibility and sophistication of behavior, which has been taken to be evidence for a domain-specific ToM module. This finding is of more general interest (...)
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  43.  50
    Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience.J. Brendan Ritchie, David Michael Kaplan & Colin Klein - 2016 - British Journal for the Philosophy of Science:axx023.
    Since its introduction, multivariate pattern analysis, or ‘neural decoding’, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the decoder’s dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical attention. We critically evaluate the dictum, arguing that it is false: (...)
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  44. Cognitive Neuroscience of Emotion.M. M. Bradley, P. J. Lang, R. Lane & L. Nadel - 2000 - In Richard D. R. Lane, L. Nadel, G. L. Ahern, J. Allen & Alfred W. Kaszniak (eds.), Cognitive Neuroscience of Emotion. Oxford University Press.
  45. Model-Based Theorizing in Cognitive Neuroscience.Elizabeth Irvine - 2016 - British Journal for the Philosophy of Science 67 (1):143-168.
    Weisberg and Godfrey-Smith distinguish between two forms of theorising: data-driven ‘abstract direct representation’ and modeling. The key difference is that when using a data-driven approach, theories are intended to represent specific phenomena, so directly represent them, while models may not be intended to represent anything, so represent targets indirectly, if at all. The aim here is to compare and analyse these practices, in order to outline an account of model-based theorising that involves direct representational relationships. This is based on the (...)
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  46.  35
    History of Cognitive Neuroscience.Maxwell R. Bennett & Peter M. S. Hacker - unknown
    History of Cognitive Neuroscience documents the major neuroscientific experiments and theories over the last century and a half in the domain of cognitive neuroscience, and evaluates the cogency of the conclusions that have been drawn from them. Provides a companion work to the highly acclaimed Philosophical Foundations of Neuroscience – combining scientific detail with philosophical insights Views the evolution of brain science through the lens of its principal figures and experiments Addresses philosophical criticism of Bennett (...)
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  47. Psychiatry as Cognitive Neuroscience: Philosophical Perspectives.Matthew Broome & Lisa Bortolotti (eds.) - 2009 - Oxford University Press.
    Neuroscience has long had an impact on the field of psychiatry, and over the last two decades, with the advent of cognitive neuroscience and functional neuroimaging, that influence has been most pronounced. However, many question whether psychopathology can be understood by relying on neuroscience alone, and highlight some of the perceived limits to the way in which neuroscience informs psychiatry. -/- Psychiatry as Cognitive Neuroscience is a philosophical analysis of the role of (...) in the study of psychopathology. The book examines numerous cognitive neuroscientific methods, such as neuroimaging and the use of neuropsychological models, in the context of a variety of psychiatric disorders, including depression, schizophrenia, dependence syndrome, and personality disorders. -/- Psychiatry as Cognitive Neuroscience includes chapters on the nature of psychiatry as a science; the compatibility of the accounts of mental illness derived from neuroscience, information-processing, and folk psychology; the nature of mental illness; the impact of methods such as fMRI, neuropsychology, and neurochemistry, on psychiatry; the relationship between phenomenological accounts of mental illness and those provided by naturalistic explanations; the status of delusions and the continuity between delusions and ordinary beliefs; the interplay between clinical and empirical findings in psychopathology and issues in moral psychology and ethics. -/- With contributions from world class experts in philosophy and cognitive science, this book will be essential reading for those who have an interest in the importance and the limitations of cognitive neuroscience as an aid to understanding mental illness. (shrink)
     
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  48. Cognitive Neuroscience of Emotion.G. L. Clore & A. Ortony - 2000 - In Richard D. R. Lane, L. Nadel, G. L. Ahern, J. Allen & Alfred W. Kaszniak (eds.), Cognitive Neuroscience of Emotion. Oxford University Press. pp. 24--61.
  49. Toward a Cognitive Neuroscience of Metacognition.Arthur P. Shimamura - 2000 - Consciousness and Cognition 9 (2):313-323.
    The relationship between metacognition and executive control is explored. According to an analysis by Fernandez-Duque, Baird, and Posner (this issue), metacognitive regulation involves attention, conflict resolution, error correction, inhibitory control, and emotional regulation. These aspects of metacognition are presumed to be mediated by a neural circuit involving midfrontal brain regions. An evaluation of the proposal by Fernandez-Duque et al. is made, and it is suggested that there is considerable convergence of issues associated with metacognition, executive control, working memory, and frontal (...)
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  50.  20
    Computational Cognitive Neuroscience.Carlos Zednik - forthcoming - In Mark Sprevak & Matteo Colombo (eds.), The Routledge Handbook of the Computational Mind. Routledge.
    This chapter provides an overview of the basic research strategies and analytic techniques deployed in computational cognitive neuroscience. On the one hand, “top-down” strategies are used to infer, from formal characterizations of behavior and cognition, the computational properties of underlying neural mechanisms. On the other hand, “bottom-up” research strategies are used to identify neural mechanisms and to reconstruct their computational capacities. Both of these strategies rely on experimental techniques familiar from other branches of neuroscience, including functional magnetic (...)
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