Search results for 'Brain Psychophysiology' (try it on Scholar)

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  1. Peter M. Milner (1999). The Autonomous Brain: A Neural Theory of Attention and Learning. L. Erlbaum Associates.score: 96.0
    The thesis of this bk is that the brain is innately constructed to initiate behaviors likely to promote the survival of the species & to sensitize sensory systems to stimuli required for those behaviors. Intended for behavioral & brain scientists.
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  2. Cornelius Borck (2009). Through the Looking Glass: Past Futures of Brain Research. [REVIEW] Medicine Studies 1 (4):329-338.score: 96.0
    The neurosciences seem to thrive on the constantly postponed promise to herald a definitive understanding of the human mind. What are the dynamics of this promise and its postponement? The long and fascinating history of the neurosciences offers ample material for looking into the articulation of neuroscientific research and contemporary culture. New tools and research methods, often announced as breakthroughs, brought along new representations of brain activity. In addition, they shaped the way of conceptualizing the brain’s mode of (...)
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  3. Itzhak Aharon Eldad Yechiam (2012). The Neuroscience and Psychophysiology of Experience-Based Decisions: An Introduction to the Research Topic. Frontiers in Psychology 3.score: 84.0
    The Neuroscience and Psychophysiology of Experience-Based Decisions: An Introduction to the Research Topic.
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  4. Danielle S. Bassett & Michael S. Gazzaniga (2011). Understanding Complexity in the Human Brain. Trends in Cognitive Sciences 15 (5):200.score: 78.0
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  5. John C. Eccles (ed.) (1966). Brain and Conscious Experience. Springer.score: 78.0
  6. M. S. Gazzaniga (2010). Neuroscience and the Correct Level of Explanation for Understanding Mind. An Extraterrestrial Roams Through Some Neuroscience Laboratories and Concludes Earthlings Are Not Grasping How Best to Understand the Mind-Brain Interface. Trends in Cognitive Sciences 14 (7):291-292.score: 78.0
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  7. Philip S. Wong, Edward Bernat, Michael Snodgrass & Howard Shevrin (2004). Event-Related Brain Correlates of Associative Learning Without Awareness. International Journal of Psychophysiology 53 (3):217-231.score: 48.0
  8. Charles D. Laughlin (1991). Pre- and Perinatal Brain Development and Enculturation. Human Nature 2 (3):171-213.score: 48.0
    Ample evidence from various quarters indicates that the perceptual-cognitive competence of the pre- and perinatal human being is significantly greater than was once thought. Some of the evidence of this emerging picture of early competence is reviewed, and its importance both as evidence of the biogenetic structural concept of “neurognosis” and for a theory of enculturation is discussed. The literature of pre- and perinatal psychology, especially that of developmental neuropsychology, psychobiology, and social psychophysiology, is incorporated, and some of the (...)
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  9. James T. Enns, Alejandro Lleras & Vince Di Lollo (2006). A Reentrant View of Visual Masking, Object Substitution, and Response Priming. In Gmen, Haluk; Breitmeyer, Bruno G. (2006). The First Half Second: The Microgenesis and Temporal Dynamics of Unconscious and Conscious Visual Processes. (Pp. 127-147). Cambridge, Ma, Us: Mit Press. Xi, 410 Pp.score: 48.0
     
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  10. Ewald Richter (2005). Wohin Führt Uns Die Moderne Hirnforschung?: Ein Beitrag Aus Phänomenologischer Und Erkenntniskritischer Sicht. Duncker & Humblot.score: 48.0
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  11. Jirí Wackerman, Peter Pütz, Simone Büchi, Inge Strauch & Dietrich Lehmann (2002). Brain Electrical Activity and Subjective Experience During Altered States of Consciousness: Ganzfeld and Hypnagogic States. International Journal of Psychophysiology 46 (2):123-146.score: 48.0
  12. Raymond Trevor Bradley (2007). The Psychophysiology of Intuition: A Quantum-Holographic Theory of Nonlocal Communication. World Futures 63 (2):61 – 97.score: 42.0
    This work seeks to explain intuitive perception - those perceptions that are not based on reason or logic or on memories or extrapolations from the past, but are based, instead, on accurate foreknowledge of the future. Often such intuitive foreknowledge involves perception of implicit information about nonlocal objects and/or events by the body's psychophysiological systems. Recent experiments have shown that intuitive perception of a future event is related to the degree of emotional significance of that event, and a new study (...)
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  13. Edward F. Pace-Schott (2000). Nielsen's Concept of Covert Rem Sleep is a Path Toward a More Realistic View of Sleep Psychophysiology. Behavioral and Brain Sciences 23 (6):983-984.score: 42.0
    Nielsen's concept of “covert REM sleep” accounts for more of the complexity in sleep psychophysiology than its conceptual predecessors such as the tonic-phasic model. With new neuroimaging findings, such concepts lead to more precise sleep psychophysiology including both traditional polysomnographic signs and neuronal activity in greater proximity to the actual point sources and distributed networks which generate dreaming. [Hobson et al.; Nielsen].
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  14. Adrian Raine & Tyrone D. Cannon (1991). Neuro-Developmental, Brain Imaging and Psychophysiological Perspectives on the Neuropsychology of Schizophrenia. Behavioral and Brain Sciences 14 (1):43-44.score: 42.0
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  15. K. R. L. Hall (1957). The Study of Mind in Relation to Brain Function. New York, Oxford University Press.score: 42.0
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  16. Thomas Laycock (1860/1976). Mind and Brain. Arno Press.score: 42.0
  17. Ruth Macklin (1978). Man's "Animal Brains" and Animal Nature: Some Implications of a Psychophysiological Theory. Philosophy and Phenomenological Research 39 (2):155-181.score: 40.0
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  18. 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. 793-842.score: 38.0
    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 (...)
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  19. Horst M. Mueller Sabine Weiss (2012). “Too Many Betas Do Not Spoil the Broth”: The Role of Beta Brain Oscillations in Language Processing. Frontiers in Psychology 3.score: 38.0
    Over the past 20 years, brain oscillations have proven to be a gateway to the understanding of cognitive processes. It has been shown that different neurocognitive aspects of language processing are associated with brain oscillations at various frequencies. Frequencies in the beta range (13-30 Hz) turned out to be particularly important with respect to cognitive and linguistic manipulations during language processing. Beta activity has been involved in higher-order linguistic functions such as the discrimination of word categories and the (...)
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  20. Sabine Weiss & Horst M. Mueller (2012). “Too Many Betas Do Not Spoil the Broth”: The Role of Beta Brain Oscillations in Language Processing. Frontiers in Psychology 3.score: 38.0
    Over the past 20 years, brain oscillations have proven to be a gateway to the understanding of cognitive processes. It has been shown that different neurocognitive aspects of language processing are associated with brain oscillations at various frequencies. Frequencies in the beta range (13-30 Hz) turned out to be particularly important with respect to cognitive and linguistic manipulations during language processing. Beta activity has been involved in higher-order linguistic functions such as the discrimination of word categories and the (...)
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  21. Daniel Lehmann, W. K. Strik, B. Henggeler & T. Koenig (1998). Brain Electric Microstates and Momentary Conscious Mind States as Building Blocks of Spontaneous Thinking: I. Visual Imagery and Abstract Thoughts. International Journal of Psychophysiology 29:1-11.score: 36.0
  22. Ville Ojanen, Antti Revonsuo & Mikko Sams (2003). Visual Awareness of Low-Contrast Stimuli is Reflected in Event-Related Brain Potentials. Psychophysiology 40 (2):192-197.score: 36.0
  23. Emanuel Donchin & Michael G. H. Coles (1988). On the Conceptual Foundations of Cognitive Psychophysiology. Behavioral and Brain Sciences 11 (3):408.score: 36.0
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  24. 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: 34.0
    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 (...)
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  25. William P. Bechtel (2002). Decomposing the Brain: A Long Term Pursuit. [REVIEW] Brain and Mind 3 (1):229-242.score: 27.0
    This paper defends cognitive neuroscience’s project of developing mechanistic explan- ations of cognitive processes through decomposition and localization against objections raised by William Uttal in The New Phrenology. The key issue between Uttal and researchers pursuing cognitive neuroscience is that Uttal bets against the possibility of decomposing mental operations into component elementary operations which are localized in distinct brain regions. The paper argues that it is through advancing and revising what are likely to be overly simplistic and incorrect decompositions (...)
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  26. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2001). Operational Architectonics of the Human Brain Biopotential Field: Toward Solving the Mind-Brain Problem. [REVIEW] Brain and Mind 2 (3):261-296.score: 27.0
    The understanding of the interrelationship between brain and mind remains far from clear. It is well established that the brain's capacity to integrate information from numerous sources forms the basis for cognitive abilities. However, the core unresolved question is how information about the "objective" physical entities of the external world can be integrated, and how unifiedand coherent mental states (or Gestalts) can be established in the internal entities of distributed neuronal systems. The present paper offers a unified methodological (...)
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  27. Georg Northoff (2001). "Brain-Paradox" and "Embeddment": Do We Need a "Philosophy of the Brain"? Brain and Mind 195 (2):195-211.score: 27.0
    Present discussions in philosophy of mind focuson ontological and epistemic characteristics ofmind and on mind-brain relations. In contrast,ontological and epistemic characteristics ofthe brain have rarely been thematized. Rather,philosophy seems to rely upon an implicitdefinition of the brain as "neuronal object''and "object of recognition'': henceontologically and epistemically distinct fromthe mind, characterized as "mental subject'' and"subject of recognition''. This leads to the"brain-paradox''. This ontological and epistemicdissociation between brain and mind can beconsidered central for the problems of mind (...)
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  28. Ullin T. Place (2000). The Two Factor Theory of the Mind-Brain Relation. Brain and Mind 1 (1):29-43.score: 27.0
    The analysis of mental concepts suggests that the distinctionbetween the mental and the nonmental is not ontologically fundamental,and that, whereas mental processes are one and the same things as thebrain processes with which they are correlated, dispositional mentalstates depend causally on and are, thus, ''''distinct existences'''' fromthe states of the brain microstructure with which ''they'' are correlated.It is argued that this difference in the relation between an entity andits composition/underlying structure applies across the board. allstuffs and processes are the (...)
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  29. Edmund T. Rolls (2000). Précis of the Brain and Emotion. Behavioral and Brain Sciences 23 (2):177-191.score: 27.0
    The topics treated in The brain and emotion include the definition, nature, and functions of emotion (Ch. 3); the neural bases of emotion (Ch. 4); reward, punishment, and emotion in brain design (Ch. 10); a theory of consciousness and its application to understanding emotion and pleasure (Ch. 9); and neural networks and emotion-related learning (Appendix). The approach is that emotions can be considered as states elicited by reinforcers (rewards and punishers). This approach helps with understanding the functions of (...)
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  30. Michael L. Anderson (2010). Neural Reuse: A Fundamental Organizational Principle of the Brain. Behavioral and Brain Sciences 33 (4):245.score: 27.0
    An emerging class of theories concerning the functional structure of the brain takes the reuse of neural circuitry for various cognitive purposes to be a central organizational principle. According to these theories, it is quite common for neural circuits established for one purpose to be exapted (exploited, recycled, redeployed) during evolution or normal development, and be put to different uses, often without losing their original functions. Neural reuse theories thus differ from the usual understanding of the role of neural (...)
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  31. Giorgio Vallortigara & Lesley J. Rogers (2005). Survival with an Asymmetrical Brain: Advantages and Disadvantages of Cerebral Lateralization. Behavioral and Brain Sciences 28 (4):575-589.score: 27.0
    Recent evidence in natural and semi-natural settings has revealed a variety of left-right perceptual asymmetries among vertebrates. These include preferential use of the left or right visual hemifield during activities such as searching for food, agonistic responses, or escape from predators in animals as different as fish, amphibians, reptiles, birds, and mammals. There are obvious disadvantages in showing such directional asymmetries because relevant stimuli may be located to the animal's left or right at random; there is no a priori association (...)
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  32. David Loye (2002). The Moral Brain. Brain and Mind 3 (1):133-150.score: 27.0
    This article probes the evolutionary origins ofmoral capacities and moral agency. From thisit develops a theory of the guidancesystem of higher mind (GSHM). The GSHM is ageneral model of intelligence whereby moralfunctioning is integrated with cognitive,affective, and conative functioning, resultingin a flow of information between eight brainlevels functioning as an evaluative unitbetween stimulus and response.The foundation of this view of morality and ofcaring behavior is Charles Darwin's theory,largely ignored until recently, of thegrounding of morality in sexual instincts whichlater expand into (...)
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  33. Robert P. O'Shea & Paul M. Corballis (2001). Binocular Rivalry Between Complex Stimuli in Split-Brain Observers. Brain and Mind 2 (1):151-160.score: 27.0
    We investigated binocular rivalry in the twocerebral hemispheres of callosotomized(split-brain) observers. We found that rivalryoccurs for complex stimuli in split-brainobservers, and that it is similar in the twohemispheres. This poses difficulties for twotheories of rivalry: (1) that rivalry occursbecause of switching of activity between thetwo hemispheres, and (2) that rivalry iscontrolled by a structure in the rightfrontoparietal cortex. Instead, similar rivalryfrom the two hemispheres is consistent with atheory that its mechanism is low in the visualsystem, at which each hemisphere (...)
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  34. Péter Érdi (2000). On the 'Dynamic Brain' Metaphor. Brain and Mind 1 (1):119-145.score: 27.0
    Dynamic systems theory offers conceptual andmathematical tools for describing the performance ofneural systems at very different levels oforganization. Three aspects of the dynamic paradigmare discussed, namely neural rhythms, neural andmental development, and macroscopic brain theories andmodels.
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  35. Jonathan Kenneth Burns (2004). An Evolutionary Theory of Schizophrenia: Cortical Connectivity, Metarepresentation, and the Social Brain. Behavioral and Brain Sciences 27 (6):831-855.score: 27.0
    Schizophrenia is a worldwide, prevalent disorder with a multifactorial but highly genetic aetiology. A constant prevalence rate in the face of reduced fecundity has caused some to argue that an evolutionary advantage exists in unaffected relatives. Here, I critique this adaptationist approach, and review – and find wanting – Crow's “speciation” hypothesis. In keeping with available biological and psychological evidence, I propose an alternative theory of the origins of this disorder. Schizophrenia is a disorder of the social brain, and (...)
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  36. Roland Puccetti (1981). The Case for Mental Duality: Evidence From Split-Brain Data and Other Considerations. Behavioral and Brain Sciences 4 (1):93-123.score: 27.0
    Contrary to received opinion among philosophers, psychologists, and neuroscientists, conscious duality as a principle of brain organization is neither incoherent nor demonstrably false. The present paper begins by reviewing the history of the theory and its anatomical basis and defending it against the claim that it rests upon an arbitrary decision as to what constitutes the biological substratum of mind or person.
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  37. Barbara L. Finlay, Richard B. Darlington & Nicholas Nicastro (2001). Developmental Structure in Brain Evolution. Behavioral and Brain Sciences 24 (2):263-278.score: 27.0
    How does evolution grow bigger brains? It has been widely assumed that growth of individual structures and functional systems in response to niche-specific cognitive challenges is the most plausible mechanism for brain expansion in mammals. Comparison of multiple regressions on allometric data for 131 mammalian species, however, suggests that for 9 of 11 brain structures taxonomic and body size factors are less important than covariance of these major structures with each other. Which structure grows biggest is largely predicted (...)
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  38. G. Northoff (2001). Brain-Paradox” and “Embeddment” – Do We Need a “Philosophy of the Brain”? Brain and Mind 2 (2):195-211.score: 27.0
    Present discussions in philosophy of mind focuson ontological and epistemic characteristics ofmind and on mind-brain relations. In contrast,ontological and epistemic characteristics ofthe brain have rarely been thematized. Rather,philosophy seems to rely upon an implicitdefinition of the brain as "neuronal object''and "object of recognition'': henceontologically and epistemically distinct fromthe mind, characterized as "mental subject'' and"subject of recognition''. This leads to the"brain-paradox''. This ontological and epistemicdissociation between brain and mind can beconsidered central for the problems of mind (...)
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  39. Donald G. Stein & Marylou M. Glasier (1995). Some Practical and Theoretical Issues Concerning Fetal Brain Tissue Grafts as Therapy for Brain Dysfunctions. Behavioral and Brain Sciences 18 (1):36-45.score: 27.0
    Grafts of embryonic neural tissue into the brains of adult patients are currently being used to treat Parkinson's disease and are under serious consideration as therapy for a variety of other degenerative and traumatic disorders. This target article evaluates the use of transplants to promote recovery from brain injury and highlights the kinds of questions and problems that must be addressed before this form of therapy is routinely applied. It has been argued that neural transplantation can promote functional recovery (...)
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  40. Mostyn W. Jones (2010). How To Make Mind-Brain Relations Clear. Journal of Consciousness Studies 17 (5-6):5 - 6.score: 24.0
    The mind-body problem arises because all theories about mind-brain connections are too deeply obscure to gain general acceptance. This essay suggests a clear, simple, mind-brain solution that avoids all these perennial obscurities. (1) It does so, first of all, by reworking Strawson and Stoljar’s views. They argue that while minds differ from observable brains, minds can still be what brains are physically like behind the appearances created by our outer senses. This could avoid many obscurities. But to clearly (...)
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  41. Gregory M. Nixon (2012). You Are Not Your Brain: Against 'Teaching to the Brain'. Review of Higher Education and Self-Learning 5 (15):69-83.score: 24.0
    Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will provide a nutshell explanation for student learning in general. I argue that identifying the person with the brain is scientism (not science), that the brain is not the person, and that (...)
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  42. Gregory M. Nixon (2013). Scientism, Philosophy and Brain-Based Learning. Northwest Journal of Teacher Education 11 (2):113-144.score: 24.0
    Since educators are always looking for ways to improve their practice, and since empirical science is now accepted in our worldview as the final arbiter of truth, it is no surprise they have been lured toward cognitive neuroscience in hopes that discovering how the brain learns will provide a nutshell explanation for student learning in general. I argue that identifying the person with the brain is scientism (not science), that the brain is not the person, and that (...)
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  43. Mary Jiang Bresnahan & Kevin Mahler (2010). Ethical Debate Over Organ Donation in the Context of Brain Death. Bioethics 24 (2):54-60.score: 24.0
    This study investigated what information about brain death was available from Google searches for five major religions. A substantial body of supporting research examining online behaviors shows that information seekers use Google as their preferred search engine and usually limit their search to entries on the first page. For each of the five religions in this study, Google listings reveal ethical controversy about organ donation in the context of brain death. These results suggest that family members who go (...)
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  44. Alexander A. Fingelkurts & Andrew A. Fingelkurts (2009). Is Our Brain Hardwired to Produce God, or is Our Brain Hardwired to Perceive God? A Systematic Review on the Role of the Brain in Mediating Religious Experience. Cognitive Processing 10 (4):293-326.score: 24.0
    To figure out whether the main empirical question “Is our brain hardwired to believe in and produce God, or is our brain hardwired to perceive and experience God?” is answered, this paper presents systematic critical review of the positions, arguments and controversies of each side of the neuroscientific-theological debate and puts forward an integral view where the human is seen as a psycho-somatic entity consisting of the multiple levels and dimensions of human existence (physical, biological, psychological, and spiritual (...)
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  45. Bernard J. Baars, Thomas Zoega Ramsoy & Steven Laureys (2003). Brain, Conscious Experience, and the Observing Self. Trends in Neurosciences 26 (12):671-5.score: 24.0
    Conscious perception, like the sight of a coffee cup, seems to involve the brain identifying a stimulus. But conscious input activates more brain regions than are needed to identify coffee cups and faces. It spreads beyond sensory cortex to frontoparietal association areas, which do not serve stimulus identification as such. What is the role of those regions? Parietal cortex support the ‘first person perspective’ on the visual world, unconsciously framing the visual object stream. Some prefrontal areas select and (...)
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  46. Donald Borrett, Sean D. Kelly & Hon Kwan (2000). Bridging Embodied Cognition and Brain Function: The Role of Phenomenology. Philosophical Psychology 13 (2):261-266.score: 24.0
    Both cognitive science and phenomenology accept the primacy of the organism-environment system and recognize that cognition should be understood in terms of an embodied agent situated in its environment. How embodiment is seen to shape our world, however, is fundamentally different in these two disciplines. Embodiment, as understood in cognitive science, reduces to a discussion of the consequences of having a body like ours interacting with our environment and the relationship is one of contingent causality. Embodiment, as understood phenomenologically, represents (...)
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  47. Andrew Brook & Kathleen Akins (eds.) (2005). Cognition and the Brain: The Philosophy and Neuroscience Movement. Cambridge University Press.score: 24.0
    This volume provides an up to date and comprehensive overview of the philosophy and neuroscience movement, which applies the methods of neuroscience to traditional philosophical problems and uses philosophical methods to illuminate issues in neuroscience. At the heart of the movement is the conviction that basic questions about human cognition, many of which have been studied for millennia, can be answered only by a philosophically sophisticated grasp of neuroscience's insights into the processing of information by the human brain. Essays (...)
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  48. Elizabeth Schechter (2010). Individuating Mental Tokens: The Split-Brain Case. Philosophia 38 (1):195-216.score: 24.0
    Some philosophers have argued that so long as two neural events, within a subject, are both of the same type and both carry the same content, then these events may jointly constitute a single mental token, regardless of the sort of causal relation to each other that they bear. These philosophers have used this claim—which I call the “singularity-through-redundancy” position—in order to argue that a split-brain subject normally has a single stream of consciousness, disjunctively realized across the two hemispheres. (...)
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  49. Grant R. Gillett (1986). Brain Bisection and Personal Identity. Mind 95 (April):224-9.score: 24.0
    It has been argued that 'brain bisection' data leads us to abandon our traditional conception of personal identity. Nagel has remarked: The ultimate account of the unity of what we call a single mind consists of an enumeration of the types of functional integration that typify it. We know that these can be eroded in different ways and to different degrees. The belief that even in their complete version they can be explained by the presence of a numerically single (...)
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  50. John C. Eccles (1990). Evolution of the Brain: Creation of the Self. New York: Routledge.score: 24.0
    Sir John Eccles, a distinguished scientist and Nobel Prize winner who has devoted his scientific life to the study of the mammalian brain, tells the story of...
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