Philosophy of Neuroscience, Misc Edited by Pete Mandik (William Paterson University)

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  1. Adele Abrahamsen & William Bechtel, From Reactive to Endogenously Active Dynamical Conceptions of the Brain.
    We contrast reactive and endogenously active perspectives on brain activity. Both have been pursued continuously in neurophysiology laboratories since the early 20thcentury, but the endogenous perspective has received relatively little attention until recently. One of the many successes of the reactive perspective was the identification, in the second half of the 20th century, of the distinctive contributions of different brain regions involved in visual processing. The recent prominence of the endogenous perspective is due to new findings of ongoing oscillatory activity (...)
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  2. Carol Rausch Albright (2001). Neuroscience in Pursuit of the Holy: Mysticism, the Brain, and Ultimate Reality. Zygon 36 (3):485-492.
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  3. Carol Rausch Albright (1996). Zygon's 1996 Expedition Into Neuroscience and Religion. Zygon 31 (4):711-727.
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  4. Michael C. Anderson & Benjamin J. Levy (2006). Encouraging the Nascent Cognitive Neuroscience of Repression. Behavioral and Brain Sciences 29 (5):511-513.
    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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  5. Louise Antony (1991). A Pieced Quilt: A Critical Discussion of Stephen Schiffer'sRemnants of Meaning. Philosophical Psychology 4 (1):119-137.
    Abstract Stephen Schiffer, in his recent book, Remnants of Meaning, argues against the possibility of any compositional theory of meaning for natural language. Because the argument depends on the premise that there is no possible naturalistic reduction of the intentional to the physical, Schiffer's attack on theories of meaning is of central importance for theorists of mind. I respond to Schiffer's argument by showing that there is at least one reductive account of the mental that he has neglected to consider?the (...)
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  6. Michael A. Arbib (2005). From Monkey-Like Action Recognition to Human Language: An Evolutionary Framework for Neurolinguistics. Behavioral and Brain Sciences 28 (2):105-124.
    The article analyzes the neural and functional grounding of language skills as well as their emergence in hominid evolution, hypothesizing stages leading from abilities known to exist in monkeys and apes and presumed to exist in our hominid ancestors right through to modern spoken and signed languages. The starting point is the observation that both premotor area F5 in monkeys and Broca's area in humans contain a “mirror system” active for both execution and observation of manual actions, and that F5 (...)
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  7. Yuri I. Arshavsky (2003). When Did Mozart Become a Mozart? Neurophysiological Insight Into Behavioral Genetics. Brain and Mind 4 (3):327-339.
    The prevailing concept in modern cognitive neuroscience is that cognitive functions are performed predominantly at the network level, whereas the role of individual neurons is unlikely to extend beyond forming the simple basic elements of these networks. Within this conceptual framework, individuals of outstanding cognitive abilities appear as a result of a favorable configuration of the microarchitecture of the cognitive-implicated networks, whose final formation in ontogenesis may occur in a relatively random way. Here I suggest an alternative concept, which is (...)
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  8. Mitchell G. Ash & Thomas Sturm (2007). Psychology’s Territories: Historical and Contemporary Perspectives From Different Disciplines. Erlbaum.
    This is an interdisciplinary collection of new essays by philosophers, psychologists, neuroscientists and historians on the question: What has determined and what should determine the territory or the boundaries of the discipline named "psychology"? Both the contents - in terms of concepts - and the methods - in terms of instruments - are analyzed. Among the contributors are Mitchell Ash, Paul Baltes, Jochen Brandtstädter, Gerd Gigerenzer, Michael Heidelberger, Gerhard Roth, and Thomas Sturm.
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  9. James B. Ashbrook (1996). Interfacing Religion and the Neurosciences: A Review of Twenty-Five Years of Exploration and Reflection. Zygon 31 (4):545-572.
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  10. James B. Ashbrook (1984). Neurotheology: The Working Brain and the Work of Theology. Zygon 19 (3):331-350.
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  11. 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.
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  12. Harald Atmanspacher, Acategoriality as Mental Instability.
    Mental representations are based upon categories in which the state of a mental system is stable. Acategorial states, on the other hand, are distinguished by unstable behavior. A refined and compact terminology for the description of categorial and acategorial mental states and their stability properties is introduced within the framework of the theory of dynamical systems. The relevant concepts are illustrated by selected empirical observations in cognitive neuroscience. Alterations of the category of the first person singular and features of creative (...)
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  13. Harald Atmanspacher, Mental States as Macrostates Emerging From Brain Electrical Dynamics.
    Psychophysiological correlations form the basis for different medical and scientific disciplines, but the nature of this relation has not yet been fully understood. One conceptual option is to understand the mental as “emerging” from neural processes in the specific sense that psychology and physiology provide two different descriptions of the same system. Stating these descriptions in terms of coarser- and finer-grained system states macro- and microstates , the two descriptions may be equally adequate if the coarse-graining preserves the possibility to (...)
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  14. Rudy E. Ballieux (1994). The Mind and the Immune System. Theoretical Medicine and Bioethics 15 (4).
    Stress-induced brain-mediated immunoregulation is effected by two pathways: autonomic outflow and (neuro)endocrine outflow. Particular attention is given to the interaction-effects of chronic an acute stress. Recent data have established that cells of the immune system produce neuro-peptides and hormones. In concert with cytokines released by these immune cells the brain can be informed on the nature of ongoing immune activity. The significance of conditioning of immune responses is discussed.
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  15. Zoltán Bánréti (2000). Which Grammar has Been Chosen for Neurological Feasibility? Behavioral and Brain Sciences 23 (1):21-22.
    Grodzinsky's hypotheses need different theories of grammar for comprehension and for production. These predictions are undesirable. Hungarian data are incompatible with the Trace Deletion Hypothesis.
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  16. Ian G. Barbour (1999). Neuroscience, Artificial Intelligence, and Human Nature: Theological and Philosophical Reflections. In Neuroscience and the Person: Scientific Perspectives on Divine Action. Notre Dame: University Notre Dame Press.
  17. John Barresi, The Neuroscience of Social Understanding.
    In J. Zlatev, T. Racine, C. Sinha and E. Itkonen (Eds.) The Shared Mind: Perspectives on Intersubjectivity, Amsterdam/Philadelphia: John Benjamins, in press.
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  18. Nathaniel F. Barrett (2011). Process Approaches to Consciousness in Psychology, Neuroscience, and Philosophy of Mind. American Journal of Theology and Philosophy 32 (2).
    I imagine that many readers of AJTP will find it hard to get excited about a new collection of essays about consciousness from the process perspective, no matter how good it is purported to be, because they are bored with the so-called "problem of consciousness" and uninterested in playing the role of the choir for what looks like a lot of old-fashioned Whiteheadian preaching. But in fact this book was conceived with the intention to do much more than preach to (...)
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  19. Robert A. Barton (2006). Neuroscientists Need to Be Evolutionarily Challenged. Behavioral and Brain Sciences 29 (1):13-14.
    Evolutionary theory and methods are central to understanding the design of organisms, including their brains. This book does much to demonstrate the value of evolutionary neuroscience. Further work is needed to clarify the ways that neural systems evolved in general (specifically, the interaction between mosaic and coordinated evolution of brain components), and phylogenetic methods should be given a more prominent role in the analysis of comparative data.
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  20. 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.
    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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  21. William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (2001). Philosophy and the Neurosciences: A Reader. Blackwell.
    2. Daugman, J. G. Brain metaphor and brain theory 3. Mundale, J. Neuroanatomical Foundations of Cognition: Connecting the Neuronal Level with the Study of Higher Brain Areas.
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  22. William Bechtel, Pete Mandik & Jennifer Mundale (2001). Philosophy Meets the Neurosciences. In William P. Bechtel, Pete Mandik, Jennifer Mundale & Robert S. Stufflebeam (eds.), Philosophy and the Neurosciences: A Reader. Blackwell.
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  23. M. R. Bennett (2003). Philosophical Foundations of Neuroscience. Blackwell Pub..
    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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  24. M. Bennett, D. C. Dennett, P. M. S. Hacker & J. R. & Searle (2007). Neuroscience and Philosophy: Brain, Mind, and Language. Columbia University Press.
    "Neuroscience and Philosophy" begins with an excerpt from "Philosophical Foundations of Neuroscience," in which Maxwell Bennett and Peter Hacker question the ...
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  25. Philip J. Benson (1998). Seeing Wood Because of the Trees? A Case of Failure in Reverse-Engineering. Behavioral and Brain Sciences 21 (4):468-468.
    Failure to take note of distinctive attributes in the distal stimulus leads to an inadequate proximal encoding. Representation of similarities in Chorus suffers in this regard. Distinctive qualities may require additional complex representation (e.g., reference to linguistic terms) in order to facilitate discrimination. Additional semantic information, which configures proximal attributes, permits accurate identification of true veridical stimuli.
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  26. Alan Beretta (2000). Why the TDH Fails to Contribute to a Neurology of Syntax. Behavioral and Brain Sciences 23 (1):23-23.
    An important part of Grodzinsky's claim regarding the neurology of syntax depends on agrammatic data partitioned by the Trace Deletion Hypothesis (TDH), which is a combination of trace-deletion and default strategy. However, there is convincing evidence that the default strategy is consistently avoided by agrammatics. The TDH, therefore, is in no position to support claims about agrammatic data or the neurology of syntax.
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  27. R. M. Bergstrom (1967). Neural Macrostates. Synthese 17 (December):425-443.
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  28. Armando Bertone, Laurent Mottron & Jocelyn Faubert (2004). Autism and Schizophrenia: Similar Perceptual Consequence, Different Neurobiological Etiology? Behavioral and Brain Sciences 27 (4):592-593.
    Phillips & Silverstein (P&S, 2003) propose that NMDA-receptor dysfunction may be the fundamental neurobiological mechanism underlying and associating impaired holistic perception and cognitive coordination with schizophrenic psychopathology. We discuss how the P&S hypothesis shares different aspects of the weak central coherence account of autism from both theoretical and experimental perspectives. Specifically, we believe that neither those persons with autism nor those with schizophrenia integrate visuo-perceptual information efficiently, resulting in incongruous internal representations of their external world. However, although NMDA-hypofunction may be (...)
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  29. Derek Bickerton (2005). Beyond the Mirror Neuron – the Smoke Neuron? Behavioral and Brain Sciences 28 (2):126-126.
    Mirror neurons form a poor basis for Arbib's account of language evolution, failing to explain the creativity that must precede imitation, and requiring capacities (improbable in hominids) for categorizing situations and unambiguously miming them. They also commit Arbib to an implausible holophrastic protolanguage. His model is further vitiated by failure to address the origins of symbolization and the real nature of syntax.
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  30. John Bickle (2009). The Oxford Handbook of Philosophy and Neuroscience. Oxford University Press.
    The Oxford Handbook of Philosophy and Neuroscience is a state-of-the-art collection of interdisciplinary research spanning philosophy (of science, mind, and ...
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  31. John Bickle, Pete Mandik & Anthony Landreth, The Philosophy of Neuroscience. Stanford Encyclopedia of Philosophy.
    Over the past three decades, philosophy of science has grown increasingly “local.” Concerns have switched from general features of scientific practice to concepts, issues, and puzzles specific to particular disciplines. Philosophy of neuroscience is a natural result. This emerging area was also spurred by remarkable recent growth in the neurosciences. Cognitive and computational neuroscience continues to encroach upon issues traditionally addressed within the humanities, including the nature of consciousness, action, knowledge, and normativity. Empirical discoveries about brain structure and function suggest (...)
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  32. 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.
    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 to provide evidence of (...)
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  33. Francois Blanc (2010). Trance and Shamanic Cure on the South American Continent: Psychopharmacological and Neurobiological Interpretations. Anthropology of Consciousness 21 (1):83-105.
    This article examines the neurobiological basis of the healing power attributed to shamanic practices in the Andes and Brazil in light of the pharmacology of neurotransmitters and the new technological explorations of brain functioning. The psychotropic plants used in shamanic psychiatric cures interfere selectively with the intrinsic neuromediators of the brain. Mainly they may alter: (1) the neuroendocrine functioning through the adrenergic system by controlling stressful conditions, (2) the dopaminergic system in incentive learning and emotions incorporation, (3) the serotoninergic system (...)
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  34. J. Bogen (2001). `Two as Good as a Hundred': Poorly Replicated Evidence in Some Nineteenth-Century Neuroscientific Research. Studies in History and Philosophy of Science Part C 32 (3):491-533.
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  35. Joseph E. Bogen (1995). On the Neurophysiology of Consciousness: 1. An Overview. Consciousness and Cognition 4 (1):52-62.
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  36. Elhanan Borenstein & Eytan Ruppin (2005). The Evolutionary Link Between Mirror Neurons and Imitation: An Evolutionary Adaptive Agents Model. Behavioral and Brain Sciences 28 (2):127-128.
    This commentary validates the fundamental evolutionary interconnection between the emergence of imitation and the mirror system. We present a novel computational framework for studying the evolutionary origins of imitative behavior and examining the emerging underlying mechanisms. Evolutionary adaptive agents that evolved in this framework demonstrate the emergence of neural “mirror” mechanisms analogous to those found in biological systems.
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  37. Emma Borg (2007). If Mirror Neurons Are the Answer, What Was the Question? Journal of Consciousness Studies 14 (8):5-19.
    Mirror neurons are neurons which fire in two distinct conditions: (i) when an agent performs a specific action, like a precision grasp of an object using fingers, and (ii) when an agent observes that action performed by another. Some theorists have suggested that the existence of such neurons may lend support to the simulation approach to mindreading (e.g. Gallese and Goldman, 1998, 'Mirror neurons and the simulation theory of mind reading'). In this note I critically examine this suggestion, in both (...)
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  38. Roman Borisyuk (2000). Encyclopedia of Computational Neuroscience: The End of the Second Millennium. Behavioral and Brain Sciences 23 (4):534-535.
    Arbib et al. describe mathematical and computational models in neuroscience as well as neuroanatomy and neurophysiology of several important brain structures. This is a useful guide to mathematical and computational modelling of the structure and function of nervous system. The book highlights the need to develop a theory of brain functioning, and it offers some useful approaches and concepts.
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  39. Dr H. Stefan Bracha (2006). Human Brain Evolution and the "Neuroevolutionary Time-Depth Principle:" Implications for the Reclassification of Fear-Circuitry-Related Traits in Dsm-V and for Studying Resilience to Warzone-Related Posttraumatic Stress Disorder. .
    The DSM-III, DSM-IV, DSM-IV-TR and ICD-10 have judiciously minimized discussion of etiologies to distance clinical psychiatry from Freudian psychoanalysis. With this goal mostly achieved, discussion of etiological factors should be reintroduced into the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V). A research agenda for the DSM-V advocated the "development of a pathophysiologically based classification system". The author critically reviews the neuroevolutionary literature on stress-induced and fear circuitry disorders and related amygdala-driven, species-atypical fear behaviors of clinical severity in (...)
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  40. Stein Braten (2004). Hominin Infant Decentration Hypothesis: Mirror Neurons System Adapted to Subserve Mother-Centered Participation. Behavioral and Brain Sciences 27 (4):508-509.
    Falk's hominin mother-infant model presupposes an emerging infant capacity to perceive and learn from afforded gestures and vocalizations. Unlike back-riding offspring of other primates, who were in no need to decenter their own body-centered perspective, a mirror neurons system may have been adapted in hominin infants to subserve the kind of (m)other-centered mirroring we now see manifested by human infants soon after birth.
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  41. Janez Bregant (2011). Neurophilosophy at Work. Croatian Journal of Philosophy 11 (1):128-132.
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  42. Janez Bregant (2006). Philosophy and Neuroscience. Croatian Journal of Philosophy 6 (1):133-140.
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  43. Andrew Brook (2008). Phenomenology: Contribution to Cognitive Science. Abstracta SPECIAL ISSUE II, Pp. 54 – 70, 2008:54-70.
    My comments will focus on the issue of what, according to Gallagher and Zahavi (2008, hereafter G&Z; all references will be to this book unless otherwise noted), the phenomenological approach can contribute to the cognitive sciences (including cognitive neuroscience), one of their major themes. Toward the end of the paper, I will say something about a second major theme of theirs, the relationship of phenomenology to philosophy of mind. Conventional wisdom within cognitive science has it is that phenomenology is hostile (...)
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  44. Carole Brooks Platt (2007). Presence, Poetry and the Collaborative Right Hemisphere. Journal of Consciousness Studies 14 (3):36-53.
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  45. Sidney C. Brooks (1984). Biomolecular Information Analysis in Neurotransmitter Systems. Acta Biotheoretica 33 (1).
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  46. Jeffrey Bub (1994). Testing Models of Cognition Through the Analysis of Brain-Damaged Patients. British Journal for the Philosophy of Science 45 (3):837-55.
    The aim of cognitive neuropsychology is to articulate the functional architecture underlying normal cognition, on the basis of congnitive performance data involving brain-damaged subjects. Throughout the history of the subject, questions have been raised as to whether the methods of neuropsychology are adequate to its goals. The question has been reopened by Glymour [1994], who formulates a discovery problem for cognitive neuropsychology, in the sense of formal learning theory, concerning the existence of a reliable methodology. It appears that the discovery (...)
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  47. Jeffrey Bub (1994). Is Cognitive Neuropsychology Possible? Proceedings of the Philosophy of Science Association 1:417-427.
    The aim of cognitive neuropsychology is to articulate the functional architecture underlying normal cognition, on the basis of cognitive performance data involving brain-damaged subjects. Glymour (forthcoming) formulates a discovery problem for cognitive neuropsychology, in the sense of formal learning theory, concerning the existence of a reliable methodology, and argues that the problem is insoluble: granted certain apparently plausible assumptions about the form of neuropsychological theories and the nature of the available evidence, a reliable methodology does not exist! I argue for (...)
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  48. Chris Buford & Fritz Allhoff (2005). Neuroscience and Metaphysics. American Journal of Bioethics 5 (2):34 – 36.
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  49. 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.
    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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  50. Neil Burgess (2002). Spatial Models of Imagery for Remembered Scenes Are More Likely to Advance (Neuro)Science Than Symbolic Ones. Behavioral and Brain Sciences 25 (2):185-186.
    Hemispatial neglect in imagery implies a spatially organised representation. Reaction times in memory for arrays of locations from shifted viewpoints indicate processes analogous to actual bodily movement through space. Behavioral data indicate a privileged role for this process in memory. A proposed spatial mechanism makes contact with direct recordings of the representations of location and orientation in the mammalian brain.
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  51. José E. Burgos (2001). A Neural-Network Interpretation of Selection in Learning and Behavior. Behavioral and Brain Sciences 24 (3):531-533.
    In their account of learning and behavior, the authors define an interactor as emitted behavior that operates on the environment, which excludes Pavlovian learning. A unified neural-network account of the operant-Pavlovian dichotomy favors interpreting neurons as interactors and synaptic efficacies as replicators. The latter interpretation implies that single-synapse change is inherently Lamarckian.
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  52. Trigant Burrow (1949). The Social Neurosis: A Study in "Clinical Anthropology". Philosophy of Science 16 (1):25-40.
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  53. Trigant Burrow (1943). The Neurodynamics of Behavior. A Phylobiological Foreword. Philosophy of Science 10 (4):271-288.
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  54. C. Cahill, M. Al-Eithan & C. D. Frith (1993). Conscious and Unconscious Rule-Induction: A Neuropsychological Case Study. Consciousness and Cognition 2 (3):210-224.
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  55. William Calvin, Seattle WA 98195-1800 USA.
    Neurons run on electricity 1, producing many impulses each second when they are working hard. These brief (1/1000 second, as rapid as a fast camera shutter), 0.1 volt impulses (though a hundred times smaller if recorded from outside the cell) can be amplified and heard via a loudspeaker. Neurophysiologists routinely listen to neurons via loudspeakers in their laboratories, much as anesthesiologists listen to a patient's heartbeat in the operating room.
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  56. Peter Cariani (1997). Consciousness and the Organization of Neural Processes: Commentary on John Et Al. Consciousness and Cognition 6 (1):56-64.
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  57. Peter Carruthers (2006). Review of Alvin I. Goldman, Simulating Minds: The Philosophy, Psychology, and Neuroscience of Mindreading. [REVIEW] Notre Dame Philosophical Reviews 2006 (11).
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  58. Nick Chater (2009). Rational Models of Conditioning. Behavioral and Brain Sciences 32 (2):204-205.
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  59. Anjan Chatterjee (2007). Cosmetic Neurology and Cosmetic Surgery: Parallels, Predictions, and Challenges. Cambridge Quarterly of Healthcare Ethics 16 (2):129-137.
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  60. Anjan Chatterjee (2006). The Promise and Predicament of Cosmetic Neurology. Journal of Medical Ethics 32 (2):110-113.
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  61. Christopher Cherniak, Large-Scale Optimization of Neuron Arbors.
    At the global as well as local scales, some of the geometry of types of neuron arbors—both dendrites and axons—appears to be self-organizing: Their morphogenesis behaves like flowing water, that is, fluid dynamically; waterflow in branching networks in turn acts like a tree composed of cords under tension, that is, vector mechanically. Branch diameters and angles and junction sites conform significantly to this model. The result is that such neuron tree samples globally minimize their total volume—rather than, for example, surface (...)
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  62. Christopher Cherniak, Optimal-Wiring Models of Neuroanatomy.
    Combinatorial network optimization appears to fit well as a model of brain structure: connections in the brain are a critically constrained resource, hence their deployment in a wide range of cases is finely optimized to “‘save wire". This review focuses on minimization of large-scale costs, such as total volume for mammal dendrite and axon arbors and total wirelength for positioning of connected neural components such as roundworm ganglia (and also mammal cortex areas). Phenomena of good optimization raise questions about mechanisms (...)
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  63. Christopher Cherniak (1995). Neural Component Placement. Trends in Neurosciences 18 (12):522-527.
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  64. Christopher Cherniak (1994). Philosophy and Computational Neuroanatomy. Philosophical Studies 73 (2-3):89-107.
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  65. Christopher Cherniak (1990). The Bounded Brain: Toward Quantitative Neuroanatomy. Journal of Cognitive Neuroscience 2 (1).
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  66. J. A. Cheyne, S. D. Rueffer & I. R. Newby-Clark (1999). Hypnagogic and Hypnopompic Hallucinations During Sleep Paralysis: Neurological and Cultural Construction of the Night-Mare. Consciousness and Cognition 8 (3):319-337.
    Hypnagogic and hypnopompic experiences (HHEs) accompanying sleep paralysis (SP) are often cited as sources of accounts of supernatural nocturnal assaults and paranormal experiences. Descriptions of such experiences are remarkably consistent across time and cultures and consistent also with known mechanisms of REM states. A three-factor structural model of HHEs based on their relations both to cultural narratives and REM neurophysiology is developed and tested with several large samples. One factor, labeled Intruder, consisting of sensed presence, fear, and auditory and visual (...)
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  67. Yoonsuck Choe (2006). How Neural is the Neural Blackboard Architecture? Behavioral and Brain Sciences 29 (1):72-73.
    The target article does not provide insight into how the proposed neural blackboard architecture can be mapped to known neural structures in the brain. There are theories suggesting that the thalamus may be a good candidate. However, the experimental evidence suggests that the cortex may be involved (if in fact the blackboard is implemented in the brain). Issues arising from such a mapping will be discussed.
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  68. William J. Clancey (2000). Conceptual Coordination Bridges Information Processing and Neurophysiology. Behavioral and Brain Sciences 23 (6):919-922.
    Information processing theories of memory and skills can be reformulated in terms of how categories are physically and temporally related, a process called conceptual coordination. Dreaming can then be understood as a story-understanding process in which two mechanisms found in everyday comprehension are missing: conceiving sequences (chunking categories in time as a higher-order categorization) and coordinating across modalities (e.g., relating the sound of a word and the image of its meaning). On this basis, we can readily identify isomorphisms between dream (...)
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  69. Barbara Clancy (2006). Practical Use of Evolutionary Neuroscience Principles. Behavioral and Brain Sciences 29 (1):14-15.
    As Striedter explores the concerted principles that drive brain evolution and the departures that create uniqueness, he scrutinizes and ultimately supports the (unnecessarily controversial) Finlay/Darlington model in which mathematical relationships across mammalian neural development are identified (Finlay & Darlington 1995). Pragmatic impact includes the ability to make novel comparisons across developing species, including humans.
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  70. Philip Clayton (1999). Neuroscience, the Person, and God: An Emergentist Account. In Neuroscience and the Person: Scientific Perspectives on Divine Action. Notre Dame: University Notre Dame Press.
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  71. Axel Cleeremans, Harder, Better, Faster, Stronger: A Review of “Computational Explorations in Cognitive Neuroscience”.
    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 were focused (...)
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  72. Axel Cleeremans, Letter to Neuroscience Letter to Neuroscience.
    One function of sleep is hypothesized to be the reprocessparticipate in the optimization of the network that subing and consolidation of memory traces (Smith, 1995; Gais tends subject's visuo^motor response. The optimization of et al., 2000; McGaugh, 2000; Stickgold et al., 2000). At..
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  73. Josephine Cock, Claire Fordham, Janet Cockburn & Patrick Haggard (2003). Who Knows Best? Awareness of Divided Attention Difficulty in a Neurological Rehabilitation Setting. Brain Injury 17 (7):561-574.
  74. Terence J. Coderre & Joel Katz (1997). What Exactly is Central to the Role of Central Neuroplasticity in Persistent Pain? Behavioral and Brain Sciences 20 (3):483-486.
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  75. Cynthia B. Cohen (2007). Beyond the Human Neuron Mouse to the NAS Guidelines. American Journal of Bioethics 7 (5):46 – 49.
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  76. Daniel Collerton & Elaine Perry (2004). Thalamocortical Dysfunction and Complex Visual Hallucinations in Brain Disease – Are the Primary Disturbances in the Cerebral Cortex? Behavioral and Brain Sciences 27 (6):789-790.
    Applying Behrendt & Young's (B&Y's) model of thalamocortical synchrony to complex visual hallucinations in neurodegenerative disorders, such as dementia with Lewy bodies and progressive supranuclear palsy, leads us to propose that the primary pathology may be cortical rather than thalamic. Additionally, the extinction of active hallucinations by eye closure challenges their conception of the role of reduced sensory input.
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  77. Norman D. Cook (2000). Localist Representations and Theoretical Clarity. Behavioral and Brain Sciences 23 (4):474-475.
    In the Localist Manifesto, Page enumerated several computational advantages that localist representations have over distributed representations, but the most important difference between such networks concerns their theoretical clarity. Distributed representations are normally closed to theoretical interpretation and, for that reason, contribute little to psychology, whereas the meaning of the information processing in networks using localist representations can be transparent.
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  78. Richard P. Cooper & Tim Shallice (2010). Cognitive Neuroscience: The Troubled Marriage of Cognitive Science and Neuroscience. 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 discipline has great promise (...)
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  79. Amy Coplan (2008). Review of Simulating Minds by Alvin Goldman. [REVIEW] Journal of Aesthetics and Art Criticism 66 (1):94–97.
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  80. Gerald A. Cory (2002). Maclean's Evolutionary Neuroscience, the Csn Model and Hamilton's Rule: Some Developmental, Clinical, and Social Policy Implications. Brain and Mind 3 (1):151-181.
    Paul MacLean, founder and long-time chief ofthe Laboratory of Brain Evolution and Behavior,National Institutes of Health, is a pioneeringfigure in the emergent field of evolutionaryneuroscience. His influence has been widelyfelt in the development of biologicalpsychiatry and has led to a considerableliterature on evolutionary approaches toclinical issues. MacLean's work is alsoenjoying a resurgence of interest in academicareas of neuroscience and evolutionarypsychology which have previously shown littleinterest or knowledge of his extensive work. This chapter builds on MacLean's work to bringtogether new insights (...)
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  81. Luciano Fontoura Costdaa (2003). Morphological Hopfield Networks. Brain and Mind 4 (1):91-105.
    This paper reports on the investigation of the effects of neuronal shape, at both individual cell and network level, on the behavior of neuronal systems. More specifically, two-dimensional biologically realistic neuronal networks are obtained that take explicity into account the position and morphology of neuronal cells, with the respective behavior for associative recall being simulated through a diluted version of Hopfield's model. While a specific probability density function is used for the placement of the cell bodies, images of real neuronal (...)
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  82. Luciano Fontoura Costdaa, Marconi Soares Barbosa, Vincent Coupez & Dietrich Stauffer (2003). Morphological Hopfield Networks. Brain and Mind 4 (1):91-105.
    This paper reports on the investigation of the effects of neuronal shape, at both individual cell and network level, on the behavior of neuronal systems. More specifically, two-dimensional biologically realistic neuronal networks are obtained that take explicity into account the position and morphology of neuronal cells, with the respective behavior for associative recall being simulated through a diluted version of Hopfield's model. While a specific probability density function is used for the placement of the cell bodies, images of real neuronal (...)
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  83. Rodney M. J. Cotterill (2000). Muscular Hyperspace and Navigation in the Theatre That Never Closed, the Cognitive Bacterium, Conscious Unity, Self-Tickling, and Computer Simulation: Reply to Marcel Kinsbourne. Brain and Mind 1 (2):275-282.
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  84. Eric Courchesne (1997). Prediction and Preparation: Anticipatory Role of the Cerebellum in Diverse Neurobehavioral Functions. Behavioral and Brain Sciences 20 (2):248-249.
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  85. Carl F. Craver (2004). Dissociable Realization and Kind Splitting. Philosophy Of Science 71 (5):960-971.
    It is a common assumption in contemporary cognitive neuroscience that discovering a putative realized kind to be dissociably realized (i.e., to be realized in each instance by two or more distinct realizers) mandates splitting that kind. Here I explore some limits on this inference using two deceptively similar examples: the dissociation of declarative and procedural memory and Ramachandran's argument that the self is an illusion.
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  86. Carl F. Craver (2003). The Making of a Memory Mechanism. Journal of the History of Biology 36 (1):153-95.
    Long-Term Potentiation (LTP) is a kind of synaptic plasticity that many contemporary neuroscientists believe is a component in mechanisms of memory. This essay describes the discovery of LTP and the development of the LTP research program. The story begins in the 1950's with the discovery of synaptic plasticity in the hippocampus (a medial temporal lobe structure now associated with memory), and it ends in 1973 with the publication of three papers sketching the future course of the LTP research program. The (...)
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  87. J. Alexander Dale, Janyce Hyatt & Jeff Hollerman (2007). The Neuroscience of Dance and the Dance of Neuroscience: Defining a Path of Inquiry. Journal of Aesthetic Education 41 (3).
    : This paper represents the authors' attempt to provide a useful framework for discussing and investigating the links between the apparently disparate disciplines of neuroscience and dance. This attempt arose from an interdisciplinary course offering on this topic. A clear need apparent in preparing for an exploration of such uncharted territory was for some definition of the relevant landmarks in the form of a conceptual framework. The current status of that developing framework is presented here, as we consider the historical (...)
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  88. Steven G. Daniel (1999). How Trivial is the “Trivial Neuron Doctrine”? Behavioral and Brain Sciences 22 (5):834-835.
    I argue that Gold & Stoljar's “trivial neuron doctrine” is not in fact trivial. Many familiar positions in the philosophy of mind run afoul of it, and it is unclear that even those whom Gold & Stoljar identify as adherents of the trivial neuron doctrine can be comfortably described as such.
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  89. Martin Davies (2010). Double Dissociation: Understanding its Role in Cognitive Neuropsychology. Mind and Language 25 (5):500-540.
    The paper makes three points about the role of double dissociation in cognitive neuropsychology. First, arguments from double dissociation to separate modules work by inference to the best, not the only possible, explanation. Second, in the development of computational cognitive neuropsychology, the contribution of connectionist cognitive science has been to broaden the range of potential explanations of double dissociation. As a result, the competition between explanations, and the characteristic features of the assessment of theories against the criteria of probability and (...)
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  90. Hank Davis (2001). Too Early for a Neuropsychology of Empathy. Behavioral and Brain Sciences 25 (1):32-33.
    To date, a wide range of interdisciplinary scholarship has done little to clarify either the why or the how of empathy. Preston & de Waal (P&deW) attempt to remedy this, although it remains unclear whether empathy consists of two discrete processes, or whether a perceptual and motor component are joined in some sort of behavioral inevitability. Although it is appealing to offer a neuroanatomy of empathy, the present level of neuropsychology may not support such reductionism.
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  91. Willem P. De Jong & Gerard P. Van Galen (1997). Are Speed/Accuracy Trade-Offs Caused by Neuromotor Noise, or Not? Behavioral and Brain Sciences 20 (2):306-307.
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  92. helena de preester (2006). The Self in Neuroscience and Psychiatry. Phenomenology and the Cognitive Sciences 5 (1).
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  93. Frédérique de Vignemont (2009). Drawing the Boundary Between Low-Level and High-Level Mindreading. Philosophical Studies 144 (3).
    The philosophical world is indebted to Alvin Goldman for a number of reasons, and among them, his defense of the relevance of cognitive science for philosophy of mind. In Simulating minds , Goldman discusses with great care and subtlety a wide variety of experimental results related to mindreading from cognitive neuroscience, cognitive psychology, social psychology and developmental psychology. No philosopher has done more to display the resourcefulness of mental simulation. I am sympathetic with much of the general direction of Goldman’s (...)
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  94. J. Decety (2002). Neurophysiological Evidence for Simulation and Action. In Jérôme Dokic & Joëlle Proust (eds.), Simulation and Knowledge of Action. John Benjamins.
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  95. 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.
    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 of the (...)
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  96. Jean Decety & Julie Grèzes (1998). A Neurobiological Approach to Imitation. Behavioral and Brain Sciences 21 (5):688-689.
    To explore the neural mechanisms engaged by the perception of action with the intent to imitate, positron emission tomographic activation studies were performed in healthy human subjects. We discuss the results in light of the framework proposed by Byrne & Russon, especially the distinction between mechanisms subserving action-level and program-level imitation.
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  97. G. Dehaene-Lambertz & Stanislas Dehaene (1997). In Defense of Learning by Selection: Neurobiological and Behavioral Evidence Revisited. Behavioral and Brain Sciences 20 (4):560-561.
    Quartz & Sejnowski's (Q&S's) constructivist manifesto promotes a return to an extreme form of empiricism. In defense of learning by selection, we argue that at the neurobiological level all the data presented by Q&S in support of their constructive model are in fact compatible with a model comprising multiple overlapping stages of synaptic overproduction and selection. We briefly review developmental studies at the behavioral level in humans providing evidence in favor of a selectionist view of development.
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  98. Andreas Demetriou (2000). From Neural Constructivism to Cognitive Constructivism: The Steps to Be Taken. Behavioral and Brain Sciences 23 (5):781-782.
    Quartz & Sejnowski's (Q&S's) model for constructive learning agrees with the basic assumptions of mainstream cognitive developmental theories. However, it does not detail the neural equivalents of (1) the process of cognitive change per se, (2) the construction and functioning of thought modules, and (3) the involvement of “mindreading” and “mindsteering” in constructive learning. Specifying these equivalents is necessary if cognitive developmental neuroscience and mainstream cognitive development are to be directly connected.
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  99. Liam P. Dempsey (2004). Conscious Experience, Reduction and Identity: Many Explanatory Gaps, One Solution. Philosophical Psychology 17 (2):225-245.
    This paper considers the so?called explanatory gap between brain activity and conscious experience. A number of different, though closely related, explanatory gaps are distinguished and a monistic account of conscious experience, a version of Herbert Feigl's ?dual?access theory,? is advocated as a solution to the problems they are taken to pose for physicalist accounts of mind. Although dual?access theory is a version of the mind?body identity thesis, it in no way ?eliminates? conscious experience; rather, it provides a parsimonious and explanatorily (...)
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  100. Daniel C. Dennett (2007). Philosophy as Naive Anthropology: Comment on Bennett and Hacker. In M. Bennett, D. C. Dennett, P. M. S. Hacker & J. R. & Searle (eds.), Neuroscience and Philosophy: Brain, Mind, and Language. Columbia University Press.
    Bennett and Hacker’s _Philosophical Foundations of Neuroscience_ (Blackwell, 2003), a collaboration between a philosopher (Hacker) and a neuroscientist (Bennett), is an ambitious attempt to reformulate the research agenda of cognitive neuroscience by demonstrating that cognitive scientists and other theorists, myself among them, have been bewitching each other by misusing language in a systematically “incoherent” and conceptually “confused” way. In both style and substance, the book harks back to Oxford in the early 1960's, when Ordinary Language Philosophy ruled, and Ryle and (...)
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