Search results for 'Cognitive Neuroscience' (try it on Scholar)

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  1. Gabriel Vacariu (2012). Cognitive Neuroscience Versus Epistemologically Different Worlds. University of Bucharest Press.score: 90.0
    From the “epistemologically different worlds” perspective, I analyze the status of cognitive neuroscience today. I investigate the main actual topics in cognitive neuroscience: localization and the brain imaging, the binding problem (Treisman’s feature integration theory and synchronized oscillations approach), differentiation and integration, optimism versus skepticism approaches, perception and object recognition, space and the mind, crossmodal interactions, and the holistic view against localization. I want to show that these problems are pseudo-problems and this “science” has “No ontology (...)
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  2. Graham A. Jamieson (ed.) (2007). Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford University Press.score: 87.0
    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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  3. Carrie Figdor (2013). What is the “Cognitive” in Cognitive Neuroscience? Neuroethics 6 (1):105-114.score: 87.0
    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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  4. Jeffrey S. Poland & Barbara Von Eckardt (2004). Mechanism and Explanation in Cognitive Neuroscience. Philosophy of Science 71 (5):972-984.score: 84.0
    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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  5. William P. Bechtel (2002). Aligning Multiple Research Techniques in Cognitive Neuroscience: Why Is It Important? Philosophy of Science 69 (S3):S48-S58.score: 84.0
    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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  6. Rainer Mausfeld (2012). On Some Unwarranted Tacit Assumptions in Cognitive Neuroscience. Frontiers in Cognition 3 (67):1-13.score: 83.0
    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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  7. Carsten Held, Markus Knauff & Gottfried Vosgerau (eds.) (2006). Mental Models and the Mind: Current Developments in Cognitive Psychology, Neuroscience, and Philosophy of Mind. Elsevier.score: 81.0
    "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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  8. Antti Revonsuo & Matti Kamppinen (eds.) (1994). Consciousness in Philosophy and Cognitive Neuroscience. Lawrence Erlbaum.score: 78.0
    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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  9. James A. Van Slyke (ed.) (2012). Theology and the Science of Moral Action: Virtue Ethics, Exemplarity, and Cognitive Neuroscience. Routledge.score: 78.0
    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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  10. Michele Marie Desmarais (2008). Changing Minds: Mind, Consciousness, and Identity in Patañjali's Yoga--Sūtra and Cognitive Neuroscience. Motilal Banarsidass Publishers.score: 75.0
  11. Robert C. Richardson (1999). Cognitive Science and Neuroscience: New Wave Reductionism. Philosopical Psychology 12 (3):297-307.score: 72.0
    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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  12. Graham A. Jamieson (2007). Previews and Prospects for the Cognitive Neuroscience of Hypnosis and Conscious States. In Graham A. Jamieson (ed.), Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford University Press.score: 72.0
  13. Arthur Piper (2006). Sensible Models in Cognitive Neuroscience. In Analecta Husserliana: The Yearbook of Phenomenological Research, Volume Xd. Dordrecht: Springer.score: 69.0
  14. J. Decety & T. Chaminade (2003). When the Self Represents the Other: A New Cognitive Neuroscience View on Psychological Identification. Consciousness and Cognition 12 (4):577-596.score: 64.0
    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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  15. Richard P. Cooper & Tim Shallice (2010). Cognitive Neuroscience: The Troubled Marriage of Cognitive Science and Neuroscience. Topics in Cognitive Science 2 (3):398-406.score: 63.0
    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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  16. A. P. Shimamura (2000). Toward a Cognitive Neuroscience of Metacognition. Consciousness and Cognition 9 (2):313-323.score: 61.0
    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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  17. Usha Goswami (2008). Principles of Learning, Implications for Teaching: A Cognitive Neuroscience Perspective. Journal of Philosophy of Education 42 (3-4):381-399.score: 60.0
    Cognitive neuroscience aims to improve our understanding of aspects of human learning and performance by combining data acquired with the new brain imaging technologies with data acquired in cognitive psychology paradigms. Both neuroscience and psychology use the philosophical assumptions underpinning the natural sciences, namely the scientific method, whereby hypotheses are proposed and tested using quantitative approaches. The relevance of 'brain science' for the classroom has proved controversial with some educators, perhaps because of distrust of the applicability (...)
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  18. Jose Luis Bermudez (2000). The Cognitive Neuroscience of Primitive Self-Consciousness. Psycoloquy 11 (35).score: 60.0
    Myin, Erik (2000) Direct Self-Consciousness (2)Bermúdez, José Luis (2000) Concepts and the Priority Principle (10)Bermúdez, José Luis (2000) Circularity, "I"-Thoughts and the Linguistic Requirement for Concept Possession (11)Meeks, Roblin R. (2000) Withholding Immunity: Misidentification, Misrepresentation, and Autonomous Nonconceptual Proprioceptive First-Person Content (12)Newen, Albert (2001) Kinds of Self-Consciousness (13)Bermudez, Jose Luis (2000) Direct Self-Consciousness (4)Bermudez, Jose Luis (2000) Prelinguistic Self-Consciousness (5)Gallese, Vittorio (2000) The Brain and the Self: Reviewing the Neuroscientific Evidence (6)Bermudez, Jose Luis (2000) The Cognitive Neuroscience of (...)
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  19. Matthew Broome & Lisa Bortolotti (eds.) (2009). Psychiatry as Cognitive Neuroscience: Philosophical Perspectives. Oxford University Press.score: 60.0
    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 neuroscience (...)
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  20. Harald Atmanspacher (2007). Contextual Emergence From Physics to Cognitive Neuroscience. Journal of Consciousness Studies 14 (1-2):18-36.score: 60.0
    The concept of contextual emergence has been proposed as a non-reductive, yet well- defined relation between different levels of description of physical and other systems. It is illustrated for the transition from statistical mechanics to thermodynamical properties such as temperature. Stability conditions are shown to be crucial for a rigorous implementation of contingent contexts that are required to understand temperature as an emergent property. Are such stability conditions meaningful for contextual emergence beyond physics as well? An affirmative example from (...) neuroscience addresses the relation between neurobiological and mental levels of description. For a particular class of partitions of the underlying neurobiological phase space, so-called generating partitions, the emergent mental states are stable under the dynamics. In this case, mental descriptions are (i) faithful representations of the neurodynamics and (ii) compatible with one another. (shrink)
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  21. Antonino Raffone, Angela Tagini & Narayanan Srinivasan (2010). Mindfulness and the Cognitive Neuroscience of Attention and Awareness. Zygon 45 (3):627-646.score: 60.0
    Mindfulness can be understood as the mental ability to focus on the direct and immediate perception or monitoring of the present moment with a state of open and nonjudgmental awareness. Descriptions of mindfulness and methods for cultivating it originated in eastern spiritual traditions. These suggest that mindfulness can be developed through meditation practice to increase positive qualities such as awareness, insight, wisdom, and compassion. In this article we focus on the relationships between mindfulness, with associated meditation practices, and the (...) neuroscience of attention and awareness. Mindful awareness is related to distributed attention, phenomenal consciousness, and momentary self-awareness, as characterized by recent findings in cognitive psychology and neuroscience as well as in influential consciousness models. Finally, we outline an integrated neurocognitive model of mindfulness, attention, and awareness, with a key role of prefrontal cortex. (shrink)
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  22. Philip Gerrans & Valerie E. Stone (2008). Generous or Parsimonious Cognitive Architecture? Cognitive Neuroscience and Theory of Mind. British Journal for the Philosophy of Science 59 (2):121-141.score: 60.0
    Recent work in cognitive neuroscience on the child's Theory of Mind (ToM) 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 (...)
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  23. Frances Egan & Robert J. Matthews (2006). Doing Cognitive Neuroscience: A Third Way. Synthese 153 (3):377-391.score: 60.0
    The “top-down” and “bottom-up” approaches have been thought to exhaust the possibilities for doing cognitive neuroscience. We argue that neither approach is likely to succeed in providing a theory that enables us to understand how cognition is achieved in biological creatures like ourselves. We consider a promising third way of doing cognitive neuroscience, what might be called the “neural dynamic systems” approach, that construes cognitive neuroscience as an autonomous explanatory endeavor, aiming to characterize in (...)
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  24. Dan Lloyd (2012). Is "Cognitive Neuroscience" an Oxymoron? Philosophy, Psychiatry, and Psychology 18 (4).score: 60.0
    Could "cognitive neuroscience" be an oxymoron? "Cognitive" and "neuroscience" cohere only to the extent that the entities identified as "cognitive" can be coordinated with entities identified as neural. This coordination is typically construed as intertheoretic reduction between "levels" of scientific description. On the cognitive side, folk psychological concepts crystallize into behavioral taxonomies, which are further analyzed into purported cognitive capacities. These capacities are expressed or operationalized in paradigmatic experimental tasks. These cogs comprise a (...)
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  25. Michael C. Anderson & Benjamin J. Levy (2006). Encouraging the Nascent Cognitive Neuroscience of Repression. Behavioral and Brain Sciences 29 (5):511-513.score: 60.0
    Repression has remained controversial for nearly a century on account of the lack of well-controlled evidence validating it. Here we argue that the conceptual and methodological tools now exist for a rigorous scientific examination of repression, and that a nascent cognitive neuroscience of repression is emerging. We review progress in this area and highlight important questions for this field to address.
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  26. Daniel Ansari, Donna Coch & Bert de Smedt (2011). Connecting Education and Cognitive Neuroscience: Where Will the Journey Take Us? Educational Philosophy and Theory 43 (1):37-42.score: 60.0
    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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  27. Derek Leben (2011). Cognitive Neuroscience and Moral Decision-Making: Guide or Set Aside? Neuroethics 4 (2):163-174.score: 60.0
    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 (...) 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)
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  28. Farah Focquaert, Johan Braeckman & Steven M. Platek (2008). An Evolutionary Cognitive Neuroscience Perspective on Human Self-Awareness and Theory of Mind. Philosophical Psychology 21 (1):47 – 68.score: 60.0
    The evolutionary claim that the function of self-awareness lies, at least in part, in the benefits of theory of mind (TOM) regained attention in light of current findings in cognitive neuroscience, including mirror neuron research. Although certain non-human primates most likely possess mirror self-recognition skills, we claim that they lack the introspective abilities that are crucial for human-like TOM. Primate research on TOM skills such as emotional recognition, seeing versus knowing and ignorance versus knowing are discussed. Based upon (...)
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  29. Martha J. Farah (2000). The Cognitive Neuroscience of Vision. Blackwell Publishers.score: 60.0
    The Cognitive Neuroscience of Vision begins by introducing the reader to the anatomy of the eye and visual cortex and then proceeds to discuss image and...
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  30. Valerie Gray Hardcastle (1999). The Nontrivial Doctrine of Cognitive Neuroscience. Behavioral and Brain Sciences 22 (5):839-839.score: 60.0
    Gold & Stoljar's “trivial” neuron doctrine is neither a truism in cognitive science nor trivial; it has serious consequences for the future direction of the mind/brain sciences. Not everyone would agree that these consequences are desirable. The authors' “radical” doctrine is not so radical; their division between cognitive neuroscience and neurobiology is largely artificial. Indeed, there is no sharp distinction between cognitive neuroscience and other areas of the brain sciences.
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  31. Anthony E. Kelly (2011). Can Cognitive Neuroscience Ground a Science of Learning? Educational Philosophy and Theory 43 (1):17-23.score: 60.0
    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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  32. Gregory C. Burgess, Todd S. Braver & Jeremy R. Gray (2006). Exactly How Are Fluid Intelligence, Working Memory, and Executive Function Related? Cognitive Neuroscience Approaches to Investigating the Mechanisms of Fluid Cognition. Behavioral and Brain Sciences 29 (2):128-129.score: 60.0
    Blair proposes that fluid intelligence, working memory, and executive function form a unitary construct: fluid cognition. Recently, our group has utilized a combined correlational–experimental cognitive neuroscience approach, which we argue is beneficial for investigating relationships among these individual differences in terms of neural mechanisms underlying them. Our data do not completely support Blair's strong position. (Published Online April 5 2006).
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  33. Anne Jaap Jacobson (2009). Empathy and Instinct: Cognitive Neuroscience and Folk Psychology. Inquiry 52 (5):467-482.score: 60.0
    Might we have an instinctive tendency to perform helpful actions? This paper explores a model under development in cognitive neuroscience that enables us to understand what instinctive, helpful actions might look like. The account that emerges puts some pressure on key concepts in the philosophical understanding of folk psychology. In developing the contrast, a notion of embodied beliefs is introduced; it arguably fits folk conceptions better than philosophical ones. One upshot is that Humean insights into the role of (...)
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  34. Stanislas Dehaene (ed.) (2002). The Cognitive Neuroscience of Consciousness. MIT Press.score: 60.0
    This book investigates the philosophical, empirical, and theoretical bases on which a cognitive neuroscience of consciousness can be founded.
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  35. Hannu Tiitinen (2001). How to Interface Cognitive Psychology with Cognitive Neuroscience? Behavioral and Brain Sciences 24 (1):148-149.score: 60.0
    Cowan's analysis of human short-term memory (STM) and attention in terms of processing limits in the range of 4 items (or “chunks”) is discussed from the point of view of cognitive neuroscience. Although, Cowan already provides many important theoretical insights, we need to learn more about how to build further bridges between cognitive psychology and cognitive neuroscience.
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  36. A. Parker (1998). Primate Cognitive Neuroscience: What Are the Useful Questions? Behavioral and Brain Sciences 21 (1):128-128.score: 60.0
    Study of “theory of mind” in nonhuman primates is hampered both by the lack of rigorous methodology that Heyes stresses and by our lack of knowledge of the cognitive neuroscience of nonhuman primate conceptual structure. Recent advances in this field indicate that progress can be made by first asking simpler research questions.
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  37. Richard D. R. Lane, L. Nadel, G. L. Ahern, J. Allen & Alfred W. Kaszniak (eds.) (2000). Cognitive Neuroscience of Emotion. Oxford University Press.score: 60.0
    This book, a member of the Series in Affective Science, is a unique interdisciplinary sequence of articles on the cognitive neuroscience of emotion by some of ...
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  38. Harry Howard (2003). Four Challenges for Cognitive Neuroscience and the Cortico-Hippocampal Division of Memory. Behavioral and Brain Sciences 26 (6):681-682.score: 60.0
    Jackendoff's criticisms of the current state of theorization in cognitive neuroscience are defused by recent work on the computational complementarity of the hippocampus and neocortex. Such considerations lead to a grounding of Jackendoff's processing model in the complementary methods of pattern analysis effected by independent component analysis (ICA) and principle component analysis (PCA).
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  39. Jonathan Tallant (forthcoming). Pretense, Mathematics, and Cognitive Neuroscience. British Journal for the Philosophy of Science.score: 60.0
    A pretense theory of a given discourse is a theory that claims that we do not believe or assert the propositions expressed by the sentences we token (speak, write, and so on) when taking part in that discourse. Instead, according to pretense theory, we are speaking from within a pretense. According to pretense theories of mathematics, we engage with mathematics as we do a pretense. We do not use mathematical language to make claims that express propositions and, thus, we do (...)
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  40. Axel Cleeremans, Harder, Better, Faster, Stronger: A Review of “Computational Explorations in Cognitive Neuroscience”. [REVIEW]score: 60.0
    Just like the sequel to a successful movie, O’Reilly and Munakata’s “Computational Explorations in Cognitive Neuroscience” aims to follow up and expand on the original 1986 “Parallel Distributed Processing” volumes edited by James McClelland, David Rumelhart and the PDP research group. This kinship, which is explicitly recognized by the authors as the book is prefaced by Jay McClelland, is perceptible throughout Computational Explorations: Not only does this volume visit many of the problems and paradigms that the original books (...)
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  41. Jacqueline N. Wood (2004). Social Cognitive Neuroscience: The Perspective Shift in Progress. Behavioral and Brain Sciences 27 (3):360-361.score: 60.0
    Krueger & Funder (K&F) describe social cognitive research as being flawed by its emphasis on performance errors and biases. They argue that a perspective shift is necessary to give balance to the field. However, such a shift may already be occurring with the emergence of social cognitive neuroscience leading to new theories and research that focus on normal social cognition.
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  42. David Estes & Karen Bartsch (1997). Constraining the Brain: The Role of Developmental Psychology in Developmental Cognitive Neuroscience. Behavioral and Brain Sciences 20 (4):562-563.score: 60.0
    Developmental psychology should play an essential constraining role in developmental cognitive neuroscience. Theories of neural development must account explicitly for the early emergence of knowledge and abilities in infants and young children documented in developmental research. Especially in need of explanation at the neural level is the early emergence of meta-representation.
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  43. Samuli Pöyhönen (forthcoming). Intentional Concepts in Cognitive Neuroscience. Philosophical Explorations:1-17.score: 60.0
    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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  44. M. D. Rugg (ed.) (1997). Cognitive Neuroscience. MIT Press.score: 60.0
    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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  45. Olaf Sporns (2000). Synthetic Approaches to Cognitive Neuroscience. Behavioral and Brain Sciences 23 (4):548-549.score: 60.0
    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.
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  46. Naoyuki Osaka, Robert H. Logie & Mark D'Esposito (eds.) (2007). The Cognitive Neuroscience of Working Memory. OUP Oxford.score: 60.0
    Working memory has been one of the most intensively studied systems in cognitive psychology. It is only relatively recently however that researchers have been able to study the neural processes might underlie working memory, leading to a proliferation of research in this domain. -/- The Cognitive Neuroscience of Working Memory brings together leading researchers from around the world to summarize current knowledge of this field, and directions for future research. An historical opening chapter by Alan Baddeley and (...)
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  47. Graham A. Jamieson & Erik Woody (2007). Dissociated Control as a Paradigm for Cognitive Neuroscience Research and Theorizing in Hypnosis. In Graham A. Jamieson (ed.), Hypnosis and Conscious States: The Cognitive Neuroscience Perspective. Oxford University Press.score: 60.0
  48. Nicholas D. Schiff (2004). The Neurology of Impaired Consciousness: Challenges for Cognitive Neuroscience. In Michael S. Gazzaniga (ed.), The Cognitive Neurosciences. Mit Press.score: 60.0
  49. Hubert Zimmer, Axel Mecklinger & Ulman Lindenberger (eds.) (2006). Handbook of Binding and Memory: Perspectives From Cognitive Neuroscience. OUP Oxford.score: 60.0
    The creation and consolidation of a memory can rest on the integration of any number of possibly disparate features and contexts - colour, sound, emotion, arousal, context. How is it that these bind together to form a coherent memory? What is the role of binding in memory formation? What are the neural processes that underlie binding? Do these binding processes change with age? -/- This book offers an unrivalled overview of one of the most debated hotspots of modern memory research: (...)
     
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  50. Stanislas Dehaene & Lionel Naccache (2001). Towards a Cognitive Neuroscience of Consciousness: Basic Evidence and a Workspace Framework. Cognition 79 (1):1-37.score: 58.0
  51. Antti Revonsuo (1998). How to Take Consciousness Seriously in Cognitive Neuroscience. Communication and Cognition 30 (3-4):185-205.score: 58.0
  52. Rick Grush (2006). How to, and How Not to, Bridge Computational Cognitive Neuroscience and Husserlian Phenomenology of Time Consciousness. Synthese 153 (3):417-450.score: 57.0
    A number of recent attempts to bridge Husserlian phenomenology of time consciousness and contemporary tools and results from cognitive science or computational neuroscience are described and critiqued. An alternate proposal is outlined that lacks the weaknesses of existing accounts.
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  53. Daniel Stoljar & Ian Gold (1998). On Biological and Cognitive Neuroscience. Mind and Language 13 (1):110-31.score: 57.0
  54. Bill Faw (2004). Cognitive Neuroscience of Consciousness: A Review Article. [REVIEW] Journal of Consciousness Studies 11 (2):69-72.score: 57.0
  55. Dan Lloyd (1996). Consciousness, Connectionism, and Cognitive Neuroscience: A Meeting of the Minds. Philosophical Psychology 9 (1):61-78.score: 57.0
    Accounting for phenomenal structure—the forms, aspects, and features of conscious experience—poses a deep challenge for the scientific study of consciousness, but rather than abandon hope I propose a way forward. Connectionism, I argue, offers a bi-directional analogy, with its oft-noted “neural inspiration” on the one hand, and its largely unnoticed capacity to illuminate our phenomenology on the other. Specifically, distributed representations in a recurrent network enable networks to superpose categorical, contextual, and temporal information on a specific input representation, much as (...)
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  56. Antti Revonsuo (2001). Imaging Consciousness: Can Cognitive Neuroscience Discover Visual Awareness in the Brain? In Paavo Pylkkanen & Tere Vaden (eds.), Dimensions of Conscious Experience. John Benjamins.score: 57.0
  57. Tony Ro (2006). The Cognitive Neuroscience of Unconscious and Conscious Vision. In Haluk Ögmen & Bruno G. Breitmeyer (eds.), The First Half Second: The Microgenesis and Temporal Dynamics of Unconscious and Conscious Visual Processes. Mit Press.score: 57.0
  58. Carlo Semenza (2004). Unconscious How? Concluding Remarks to the New York Meeting on the "Unconscious in Cognitive Neuroscience and Psychoanalysis". Neuro-Psychoanalysis 6 (1):87-89.score: 57.0
  59. Olivier Houdé (ed.) (2004). Dictionary of Cognitive Science: Neuroscience, Psychology, Artificial Intelligence, Linguistics, and Philosophy. Psychology Press.score: 54.0
    A translation of the renowned French reference book, Vocabulaire de sciences cognitives , the Dictionary of Cognitive Science presents comprehensive definitions of more than 120 terms. The editor and advisory board of specialists have brought together 60 internationally recognized scholars to give the reader a comprehensive understanding of the most current and dynamic thinking in cognitive science. Topics range from Abduction to Writing, and each entry covers its subject from as many perspectives as possible within the domains of (...)
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  60. Daniel L. Schacter (1995). Implicit Memory: A New Frontier for Cognitive Neuroscience. In Michael S. Gazzaniga (ed.), The Cognitive Neurosciences. Mit Press.score: 52.0
  61. Gualtiero Piccinini (2006). Computational Explanation in Neuroscience. Synthese 153 (3):343-353.score: 51.0
    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 (...)
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  62. Brian Lancaster (1997). On the Stages of Perception: Towards a Synthesis of Cognitive Neuroscience and the Buddhist Abhidhamma Tradition. Journal of Consciousness Studies 4 (2):122-142.score: 51.0
  63. Silvia A. Bunge & Jonathan D. Wallis (eds.) (2008). Neuroscience of Rule-Guided Behavior. Oxford University Press.score: 51.0
    euroscience of Rule-Guided Behavior brings together, for the first time, the experiments and theories that have created the new science of rules. Rules are central to human behavior, but until now the field of neuroscience lacked a synthetic approach to understanding them. How are rules learned, retrieved from memory, maintained in consciousness and implemented? How are they used to solve problems and select among actions and activities? How are the various levels of rules represented in the brain, ranging from (...)
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  64. M. R. Bennett (2003). Philosophical Foundations of Neuroscience. Blackwell Pub..score: 51.0
    In this work, two distinguished figures from neuroscience and philosophy present a detailed critical survey of the philosophical foundations of cognitive ...
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  65. Carrie Figdor (2010). Neuroscience and the Multiple Realization of Cognitive Functions. Philosophy of Science 77 (3):419-456.score: 48.0
    Many empirically minded philosophers have used neuroscientific data to argue against the multiple realization of cognitive functions in existing biological organisms. I argue that neuroscientists themselves have proposed a biologically based concept of multiple realization as an alternative to interpreting empirical findings in terms of one‐to‐one structure‐function mappings. I introduce this concept and its associated research framework and also how some of the main neuroscience‐based arguments against multiple realization go wrong. *Received October 2009; revised December 2009. †To contact (...)
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  66. William P. Bechtel & Robert N. McCauley (1999). Heuristic Identity Theory (or Back to the Future): The Mind-Body Problem Against the Background of Research Strategies in Cognitive Neuroscience. In Martin Hahn & S. C. Stoness (eds.), Proceedings of the 21st Annual Meeting of the Cognitive Science Society. Lawrence Erlbaum.score: 48.0
    Functionalists in philosophy of mind traditionally raise two major arguments against the type identity theory: (1) psychological states are _multiply realizable_ so that there are no one-to-one mappings of psychological states onto neural states and (2) the most that evidence could ever establish is the _correlation_ of psychological and neural states, not their identity. We defend a variant on the traditional type identity theory which we call _heuristic identity theory_ (HIT) against both of these objections. Drawing its inspiration from scientific (...)
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  67. J. Allan Hobson & Edward F. Pace-Schott (2002). The Cognitive Neuroscience of Sleep: Neuronal Systems, Consciousness and Learning. Nature Reviews Neuroscience 3:679-93.score: 48.0
  68. Victoria McGeer (2007). Why Neuroscience Matters to Cognitive Neuropsychology. Synthese 159 (3):347 - 371.score: 48.0
    The broad issue in this paper is the relationship between cognitive psychology and neuroscience. That issue arises particularly sharply for cognitive neurospsychology, some of whose practitioners claim a methodological autonomy for their discipline. They hold that behavioural data from neuropsychological impairments are sufficient to justify assumptions about the underlying modular structure of human cognitive architecture, as well as to make inferences about its various components. But this claim to methodological autonomy can be challenged on both philosophical (...)
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  69. Clancy Blair (2006). How Similar Are Fluid Cognition and General Intelligence? A Developmental Neuroscience Perspective on Fluid Cognition as an Aspect of Human Cognitive Ability. Behavioral and Brain Sciences 29 (2):109-125.score: 48.0
    This target article considers the relation of fluid cognitive functioning to general intelligence. A neurobiological model differentiating working memory/executive function cognitive processes of the prefrontal cortex from aspects of psychometrically defined general intelligence is presented. Work examining the rise in mean intelligence-test performance between normative cohorts, the neuropsychology and neuroscience of cognitive function in typically and atypically developing human populations, and stress, brain development, and corticolimbic connectivity in human and nonhuman animal models is reviewed and found (...)
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  70. Thomas Fuchs (2009). Embodied Cognitive Neuroscience and its Consequences for Psychiatry. Poiesis and Praxis 6 (3-4):219-233.score: 48.0
    Recent years have seen the emergence of a new interdisciplinary field called embodied or enactive cognitive science. Whereas traditional representationalism rests on a fixed inside–outside distinction, the embodied cognition perspective views mind and brain as a biological system that is rooted in body experience and interaction with other individuals. Embodiment refers to both the embedding of cognitive processes in brain circuitry and to the origin of these processes in an organism’s sensory–motor experience. Thus, action and perception are no (...)
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  71. Jay Schulkin (2007). Effort and Will: A Cognitive Neuroscience Perspective. Mind and Matter 5 (1):111-126.score: 48.0
    Earlier views associated cognition with the cortex, and the will with sub-cortical non-cognitive structures. But an emerging perspective is that cognition runs throughout the central nervous sys- tem, including areas typically linked to motor control. It is an important realization that perceptual/effector systems are pregnant with cognitive resources. Staying the course to achieve one 's goals amidst diverse pulls is the primary function of the will. One adaptation is to pre-commit oneself to future recursive actions consistent with one's (...)
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  72. Jeremy R. Gray & Todd S. Braver (2002). Cognitive Control in Altruism and Self-Control: A Social Cognitive Neuroscience Perspective. Behavioral and Brain Sciences 25 (2):260-260.score: 48.0
    The primrose path and prisoner's dilemma paradigms may require cognitive (executive) control: The active maintenance of context representations in lateral prefrontal cortex to provide top-down support for specific behaviors in the face of short delays or stronger response tendencies. This perspective suggests further tests of whether altruism is a type of self-control, including brain imaging, induced affect, and dual-task studies.
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  73. Edward Manier (1986). Problems in the Development of Cognitive Neuroscience: Effective Communication Between Scientific Domains. Philosophy of Science 1986:183 - 197.score: 48.0
    This is one of a series of reports of a case study of the convergence of molecular neurobiology and cognitive studies of Pavlovian conditioning. Here, I examine a fundamental disagreement between major centers of research representing each of these two domains and analyze it in terms of a hybrid historical, sociological, and philosophical concept of effective scientific communication. The specific example considered is found to fall short of the criteria for effective communication because of the absence of explicit, published (...)
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  74. Alain Berthoz (2006). Emotion and Reason: The Cognitive Neuroscience of Decision Making. OUP Oxford.score: 48.0
    Decision making is an area of profound importance to a wide range of specialities - for psychologists, economists, lawyers, clinicians, managers, and of course philosophers. Only relatively recently, though, have we begun to really understand how decision making processes are implemented in the brain, and how they might interact with our emotions. -/- 'Emotion and Reason' presents a groundbreaking new approach to understanding decision making processes and their neural bases. The book presents a sweeping survey of the science of decision (...)
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  75. J. Allan Hobson, Edward F. Pace-Schott & Robert Stickgold (2003). Dreaming and the Brain: Toward a Cognitive Neuroscience of Conscious States. In Edward F. Pace-Schott, Mark Solms, Mark Blagrove & Stevan Harnad (eds.), Sleep and Dreaming: Scientific Advances and Reconsiderations. Cambridge University Press.score: 47.0
    Sleep researchers in different disciplines disagree about how fully dreaming can be explained in terms of brain physiology. Debate has focused on whether REM sleep dreaming is qualitatively different from nonREM (NREM) sleep and waking. A review of psychophysiological studies shows clear quantitative differences between REM and NREM mentation and between REM and waking mentation. Recent neuroimaging and neurophysiological studies also differentiate REM, NREM, and waking in features with phenomenological implications. Both evidence and theory suggest that there are isomorphisms between (...)
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  76. J. Allan Hobson, Edward F. Pace-Schott & Robert Stickgold (2000). Dreaming and the Brain: Toward a Cognitive Neuroscience of Conscious States. Behavioral And Brain Sciences 23 (6):793-842; 904-1018; 1083-1121.score: 47.0
    Sleep researchers in different disciplines disagree about how fully dreaming can be explained in terms of brain physiology. Debate has focused on whether REM sleep dreaming is qualitatively different from nonREM (NREM) sleep and waking. A review of psychophysiological studies shows clear quantitative differences between REM and NREM mentation and between REM and waking mentation. Recent neuroimaging and neurophysiological studies also differentiate REM, NREM, and waking in features with phenomenological implications. Both evidence and theory suggest that there are isomorphisms between (...)
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  77. Peter G. Grossenbacher (2001). A Phenomenological Introduction to the Cognitive Neuroscience of Consciousness. In Peter G. Grossenbacher (ed.), Finding Consciousness in the Brain: A Neurocognitive Approach. Advances in Consciousness Research. John Benjamins.score: 47.0
  78. Pete Mandik, Fine-Grained Supervenience, Cognitive Neuroscience, and the Future of Functionalism.score: 46.0
    The majority of contemporary philosophers of mind are physicalists. The majority of physicalists, however, are non-reductive physicalists. As nonreductive physicalists, these philosophers hold that a system's mental properties are different from a system's physical properties, that is, they hold that the sum total of mental facts about some system is a different set of facts than the sum total of physical facts about the same system. As physicalists, however, these nonreductivists hold that mental facts are nonetheless determined by physical facts, (...)
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  79. Geert J. M. van Boxtel & Herman C. D. G. de Regt (2010). Cognitive-Neuroscience Approaches to Issues of Philosophy-of-Mind. Consciousness and Cognition 19 (1):460-461.score: 46.0
  80. D. Heinke (2000). A Dynamical System Theory Approach to Cognitive Neuroscience. Behavioral and Brain Sciences 23 (4):543-543.score: 46.0
    Neural organization contains a wealth of facts from all areas of brain research and provides a useful overview of physiological data for those working outside the immediate field. Furthermore, it gives a good example that the approach of dynamical system theory together with the concepts of cooperative and competitive interaction can be fruitful for an interdisciplinary approach to cognition.
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  81. L. Schwabe & O. Blanke (2007). Cognitive Neuroscience of Ownership and Agency☆. Consciousness and Cognition 16 (3):661-666.score: 46.0
  82. William P. Bechtel (2001). Decomposing and Localizing Vision: An Exemplar for Cognitive Neuroscience. In William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (eds.), Philosophy and the Neurosciences: A Reader. Blackwell.score: 46.0
     
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  83. Bernard J. Baars (2006). Global Workspace Theory of Consciousness: Toward a Cognitive Neuroscience of Human Experience? In Steven Laureys (ed.), Boundaries of Consciousness. Elsevier.score: 45.0
  84. Gabriel Vacariu (2011). The Mind-Body Problem Today. Open Journal of Philosophy 1 (1):26-34.score: 45.0
    An old philosophical problem, the mind-body problem, has not been yet solved by philosophers or scientists. Even if in cognitive neuroscience has been a stunning development in the last 20 years, the mind-body problem remained unsolved. Even if the majority of researchers in this domain accept the identity theory from an ontological viewpoint, many of them reject this position from an epistemological viewpoint. In this context, I consider that it is quite possible the framework of this problem to (...)
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  85. R. J. R. Blair (2008). The Cognitive Neuroscience of Psychopathy and Implications for Judgments of Responsibility. Neuroethics 1 (3).score: 45.0
    Psychopathy is a developmental disorder associated with specific forms of emotional dysfunction and an increased risk for both frustration-based reactive aggression and goal-directed instrumental antisocial behavior. While the full behavioral manifestation of the disorder is under considerable social influence, the basis of this disorder appears to be genetic. At the neural level, individuals with psychopathy show atypical responding within the amygdala and ventromedial prefrontal cortex (vmPFC). Moreover, the roles of the amygdala in stimulus-reinforcement learning and responding to emotional expressions and (...)
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  86. Paul M. Churchland (2005). Chimerical Colors: Some Phenomenological Predictions From Cognitive Neuroscience. Philosophical Psychology 18 (5):527-560.score: 45.0
    The Hurvich-Jameson (H-J) opponent-process network offers a familiar account of the empirical structure of the phenomenological color space for humans, an account with a number of predictive and explanatory virtues. Its successes form the bulk of the existing reasons for suggesting a strict identity between our various color sensations on the one hand, and our various coding vectors across the color-opponent neurons in our primary visual pathways on the other. But anti-reductionists standardly complain that the systematic parallels discovered by the (...)
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  87. William P. Bechtel (forthcoming). The Epistemology of Evidence in Cognitive Neuroscience. In R. Skipper Jr, C. Allen, R. A. Ankeny, C. F. Craver, L. Darden, G. Mikkelson & and R. Richardson (eds.), Philosophy and the Life Sciences: A Reader. Mit Press.score: 45.0
    It is no secret that scientists argue. They argue about theories. But even more, they argue about the evidence for theories. Is the evidence itself trustworthy? This is a bit surprising from the perspective of traditional empiricist accounts of scientific methodology according to which the evidence for scientific theories stems from observation, especially observation with the naked eye. These accounts portray the testing of scientific theories as a matter of comparing the predictions of the theory with the data generated by (...)
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  88. Anthony P. Atkinson & M. Wheeler (2003). Evolutionary Psychology's Grain Problem and the Cognitive Neuroscience of Reasoning. In David E. Over (ed.), Evolution and the Psychology of Thinking: The Debate. Psychology Press.score: 45.0
  89. Robert Hanna (2009). Embodied Minds in Action. Oxford University Press.score: 45.0
    In Embodied Minds in Action, Robert Hanna and Michelle Maiese work out a unified treatment of three fundamental philosophical problems: the mind-body problem, the problem of mental causation, and the problem of action. This unified treatment rests on two basic claims. The first is that conscious, intentional minds like ours are essentially embodied. This entails that our minds are necessarily spread throughout our living, organismic bodies and belong to their complete neurobiological constitution. So minds like ours are necessarily alive. The (...)
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  90. Nivedita Gangopadhyay, Michael Madary & Finn Spicer (eds.) (2010). Perception, Action, and Consciousness: Sensorimotor Dynamics and Two Visual Systems. Oxford University Press, Usa.score: 45.0
    Machine generated contents note: -- 1. Introduction -- Consciousness and Sensorimotor Dynamics: Methodological Issues -- 2. Computational consciousness, D. Ballard -- 3. Explaining what people say about sensory qualia, J. Kevin O'Regan -- 4. Perception, action, and experience: unraveling the golden braid, A. Clark -- The Two-Visual Systems Hypothesis -- 5. Cortical visual systems for perception and action, A.D. Milner and M.A. Goodale -- 6. Hermann Lotze's Theory of 'Local Sign': evidence from pointing responses in an illusory figure, (...)
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  91. James Rocha (2010). Sean A. Spence, the Actor's Brain: Exploring the Cognitive Neuroscience of Free Will. Journal of Value Inquiry 44 (3):401-405.score: 45.0
  92. Grant Gillett & Sam C. Liu (2012). Free Will and Necker's Cube: Reason, Language and Top-Down Control in Cognitive Neuroscience. Philosophy 87 (01):29-50.score: 45.0
  93. Keith Butler (1995). Representation and Computation in a Deflationary Assessment of Connectionist Cognitive Science. Synthese 104 (1):71-97.score: 45.0
    Connectionism provides hope for unifying work in neuroscience, computer science, and cognitive psychology. This promise has met with some resistance from Classical Computionalists, which may have inspired Connectionists to retaliate with bold, inflationary claims on behalf of Connectionist models. This paper demonstrates, by examining three intimately connected issues, that these inflationary claims made on behalf of Connectionism are wrong. This should not be construed as an attack on Connectionism, however, since the inflated claims made on its behalf have (...)
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  94. Grant R. Gillett (1993). Social Causation and Cognitive Neuroscience. Journal for the Theory of Social Behaviour 23 (1):27–45.score: 45.0
  95. Massimo Marraffa (2011). Psychiatry as Cognitive Neuroscience: Philosophical Perspectives. Philosophical Psychology 25 (4):1-5.score: 45.0
    Philosophical Psychology, Volume 25, Issue 4, Page 617-621, August 2012.
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  96. Steven R. Quartz (2008). From Cognitive Science to Cognitive Neuroscience to Neuroeconomics. Economics and Philosophy 24 (3):459-471.score: 45.0
  97. Daniel Schacter (1996). Illusory Memories: A Cognitive Neuroscience Analysis. Proceedings of the National Academy of Sciences 93:13527-13533.score: 45.0
  98. Manuel Garcia-Carpintero (2003). Editorial: Philosophy and Cognitive Neuroscience. Dialectica 57 (1):3–6.score: 45.0
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