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

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  1.  16
    Peter M. Milner (1999). The Autonomous Brain: A Neural Theory of Attention and Learning. L. Erlbaum Associates.
    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.  3
    Cornelius Borck (2009). Through the Looking Glass: Past Futures of Brain Research. [REVIEW] Medicine Studies 1 (4):329-338.
    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.  5
    K. T. Maslin, Karl R. Popper & John C. Eccles (1979). The Self and Its Brain. Philosophical Quarterly 29 (117):370.
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  4.  36
    Danielle S. Bassett & Michael S. Gazzaniga (2011). Understanding Complexity in the Human Brain. Trends in Cognitive Sciences 15 (5):200.
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  5.  13
    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.
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  6. John C. Eccles (ed.) (1966). Brain and Conscious Experience. Springer.
  7. Gordon G. Globus, Maxwell Grover & Irwin Savodnik (1976). Consciousness and the Brain a Scientific and Philosophical Inquiry. Monograph Collection (Matt - Pseudo).
     
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  8. J. Grinberg-Zylberbaum (1997). Ideas About a New Psychophysiology of Consciousness: The Syntergic Theory. Journal of Mind and Behavior 18 (4):443-458.
    A series of ideas are presented about a new psychophysiology of consciousness called "The Syntergic theory." The theory postulates that the human brain is able to create a hypercomplex field of interactions that are the result of the activation of all its neuronal elements. This interaction matrix is called the "neuronal field." One of the effects of its activation is the unification of neuronal activity. It is postulated that the neuronal field produces a distortion in the basic space-time (...)
     
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  9.  16
    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.
  10. 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.
  11.  6
    Charles D. Laughlin (1991). Pre- and Perinatal Brain Development and Enculturation. Human Nature 2 (3):171-213.
    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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  12. 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.
     
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  13. Ewald Richter (2005). Wohin Führt Uns Die Moderne Hirnforschung?: Ein Beitrag Aus Phänomenologischer Und Erkenntniskritischer Sicht. Duncker & Humblot.
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  14.  11
    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.
    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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  15. Thomas Laycock (1860). Mind and Brain. Arno Press.
  16. K. R. L. Hall (1957). The Study of Mind in Relation to Brain Function. New York, Oxford University Press.
     
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  17.  11
    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.
  18. Raymond Trevor Bradley (2007). The Psychophysiology of Intuition: A Quantum-Holographic Theory of Nonlocal Communication. World Futures 63 (2):61 – 97.
    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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  19. M. M. Monti, M. R. Coleman & A. M. Owen (2010). Behavior in the Brain. Journal of Psychophysiology 24 (2):76-82.
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  20.  9
    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.
  21. Emanuel Donchin & Michael G. H. Coles (1988). On the Conceptual Foundations of Cognitive Psychophysiology. Behavioral and Brain Sciences 11 (3):408.
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  22. Carl F. Craver (2007). Explaining the Brain: Mechanisms and the Mosaic Unity of Neuroscience. Oxford University Press, Clarendon Press.
    Carl Craver investigates what we are doing when we sue neuroscience to explain what's going on in the brain.
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  23. Antonio R. Damasio (1994). Descartes' Error: Emotion, Reason, and the Human Brain. Putnam.
  24.  64
    Michael L. Anderson (2010). Neural Reuse: A Fundamental Organizational Principle of the Brain. Behavioral and Brain Sciences 33 (4):245.
    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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  25. Alan Schwerin (2015). Can the Self Be a Brain? Principia: An International Journal of Epistemology 19 (2): 235 - 246.
    Philosophical materialists suggest that a person can be identified with their brain. My paper is a critical investigation of this provocative thesis and an analysis of some of the prominent arguments to support this view. My overall argument is that there is more to this issue than some philosophers appear to acknowledge.
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  26.  35
    Roland Puccetti (1981). The Case for Mental Duality: Evidence From Split-Brain Data and Other Considerations. Behavioral and Brain Sciences 4 (1):93-123.
    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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  27. William P. Bechtel (2002). Decomposing the Brain: A Long Term Pursuit. [REVIEW] Brain and Mind 3 (1):229-242.
    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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  28. 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.
    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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  29. Barbara L. Finlay, Richard B. Darlington & Nicholas Nicastro (2001). Developmental Structure in Brain Evolution. Behavioral and Brain Sciences 24 (2):263-278.
    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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  30.  30
    Birgitta Dresp-Langley (2011). Why the Brain Knows More Than We Do. Brain Sciences 2:1-21.
    Scientific studies have shown that non-conscious stimuli and représentations influence information processing during conscious experience. In the light of such evidence, questions about potential functional links between non-conscious brain representations and conscious experience arise. This article discusses models capable of explaining how statistical learning mechanisms in dedicated resonant circuits could generate specific temporal activity traces of non-conscious representations in the brain. How reentrant signaling, top-down matching, and statistical coincidence of such activity traces may lead to the progressive consolidation (...)
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  31.  31
    Edmund T. Rolls (2000). Précis of the Brain and Emotion. Behavioral and Brain Sciences 23 (2):177-191.
    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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  32.  36
    Jonathan Kenneth Burns (2004). An Evolutionary Theory of Schizophrenia: Cortical Connectivity, Metarepresentation, and the Social Brain. Behavioral and Brain Sciences 27 (6):831-855.
    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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  33.  74
    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.
    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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  34.  67
    Georg Northoff (2001). "Brain-Paradox" and "Embeddment": Do We Need a "Philosophy of the Brain"? Brain and Mind 195 (2):195-211.
    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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  35.  56
    Ullin T. Place (2000). The Two Factor Theory of the Mind-Brain Relation. Brain and Mind 1 (1):29-43.
    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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  36.  56
    Masahiro Morioka (2004). Current Debate on the Ethical Issues of Brain Death. Proceedings of International Congress on Ethical Issues in Brain Death and Organ Transplantation:57-59.
    The philosophy of our proposal are as follows: (1) Various ideas of life and death, including that of objecting to brain death as human death, should be guaranteed. We would like to maintain the idea of pluralism of human death; and (2) We should respect a child’s view of life and death. We should provide him/her with an opportunity to think and express their own ideas about life and death.
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  37.  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.
    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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  38.  9
    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.
    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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  39.  31
    David Loye (2002). The Moral Brain. Brain and Mind 3 (1):133-150.
    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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  40.  5
    David A. Booth (1978). Mind-Brain Puzzle Versus Mind-Physical World Identity. Behavioral and Brain Sciences 1 (3):348-349.
    To maintain my neutral monist or multi-aspect view of human reality (or indeed to defend the Cartesian dualism assumed by Puccetti & Dykes, it is wrong to relate the mind to the brain alone. A person's mind should be related to the physical environment, including the body, in addition to the brain. Furthermore, we are unlikely to understand the detailed functioning of an individual brain without knowing the history of its interactions with the external and internal environments (...)
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  41.  26
    Péter Érdi (2000). On the 'Dynamic Brain' Metaphor. Brain and Mind 1 (1):119-145.
    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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  42.  19
    G. Northoff (2001). Brain-Paradox” and “Embeddment” – Do We Need a “Philosophy of the Brain”? Brain and Mind 2 (2):195-211.
    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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  43. Sanneke de Haan, Erik Rietveld, Martin Stokhof & Damiaan Denys (2015). Effects of Deep Brain Stimulation on the Lived Experience of Obsessive-Compulsive Disorder Patients. PLoS ONE 10 (8):1-29.
    Deep Brain Stimulation (DBS) is a relatively new, experimental treatment for patients suffering from treatment-refractory Obsessive Compulsive Disorder (OCD). The effects of treatment are typically assessed with psychopathological scales that measure the amount of symptoms. However, clinical experience indicates that the effects of DBS are not limited to symptoms only: patients for instance report changes in perception, feeling stronger and more confident, and doing things unreflectively. Our aim is to get a better overview of the whole variety of changes (...)
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  44.  88
    Patricia S. Churchland (1986). Neurophilosophy: Toward A Unified Science of the Mind-Brain. MIT Press.
    This is a unique book. It is excellently written, crammed with information, wise and a pleasure to read.' ---Daniel C. Dennett, Tufts University.
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  45. J. McFadden (2002). Synchronous Firing and its Influence on the Brain's Electromagnetic Field: Evidence for an Electromagnetic Field Theory of Consciousness. Journal of Consciousness Studies 9 (4):23-50.
    The human brain consists of approximately 100 billion electrically active neurones that generate an endogenous electromagnetic field, whose role in neuronal computing has not been fully examined. The source, magnitude and likely influence of the brain's endogenous em field are here considered. An estimate of the strength and magnitude of the brain's em field is gained from theoretical considerations, brain scanning and microelectrode data. An estimate of the likely influence of the brain's em field is (...)
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  46. David Ellerman (2016). On Adjoint and Brain Functors. Axiomathes 26 (1):41-61.
    There is some consensus among orthodox category theorists that the concept of adjoint functors is the most important concept contributed to mathematics by category theory. We give a heterodox treatment of adjoints using heteromorphisms that parses an adjunction into two separate parts. Then these separate parts can be recombined in a new way to define a cognate concept, the brain functor, to abstractly model the functions of perception and action of a brain. The treatment uses relatively simple category (...)
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  47. Michael Huemer (2016). Serious Theories and Skeptical Theories: Why You Are Probably Not a Brain in a Vat. Philosophical Studies 173 (4):1031-1052.
    Skeptical hypotheses such as the brain-in-a-vat hypothesis provide extremely poor explanations for our sensory experiences. Because these scenarios accommodate virtually any possible set of evidence, the probability of any given set of evidence on the skeptical scenario is near zero; hence, on Bayesian grounds, the scenario is not well supported by the evidence. By contrast, serious theories make reasonably specific predictions about the evidence and are then well supported when these predictions are satisfied.
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  48.  6
    Patricia M. Greenfield (1991). Language, Tools and Brain: The Ontogeny and Phylogeny of Hierarchically Organized Sequential Behavior. Behavioral and Brain Sciences 14 (4):531-551.
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  49.  20
    Jeannette McGlone (1980). Sex Differences in Human Brain Asymmetry: A Critical Survey. Behavioral and Brain Sciences 3 (2):215.
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  50.  6
    Martha J. Farah (1994). Neuropsychological Inference with an Interactive Brain: A Critique of the “Locality” Assumption. Behavioral and Brain Sciences 17 (1):43.
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