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

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  1. W. Russell Brain (1946). The Neurological Approach to the Problem of Perception. Philosophy 21 (July):133-146.score: 270.0
  2. Robert Michael Brain (2008). The Pulse of Modernism: Experimental Physiology and Aesthetic Avant-Gardes Circa 1900. Studies in History and Philosophy of Science Part A 39 (3):393-417.score: 120.0
  3. Charles A. Campbell (1953). Philosophy and Brain Physiology. Philosophical Quarterly 3 (January):51-56.score: 69.0
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  4. W. Russell Brain (1960). Space and Sense-Data. British Journal for the Philosophy of Science 11 (November):177-191.score: 60.0
  5. John Thomas Wilke (1981). Personal Identity in the Light of Brain Physiology and Cognitive Psychology. Journal of Medicine and Philosophy 6 (3):323-334.score: 48.0
    The concept of the person, and the notion that the latter is an entity separate and distinct from other persons, has persisted as one of the more secure ‘givens’ of philosophical thought. We have very little difficulty, in observer language, in pointing to a person, describing his or her attributes, distinguishing him or her from other persons, etc. Likewise, it is ordinarily not much of a problem to subjectively experience, both sensorially and conceptually, the self – that is, to distinguish (...)
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  6. Irving Thalberg (1970). New Light on Brain Physiology and Free Will? British Journal for the Philosophy of Science 21 (4):379-383.score: 45.0
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  7. Paul L. Nunez (2010). Brain, Mind, and the Structure of Reality. Oxford University Press.score: 42.0
    Many faces of consciousness -- Ethics, religion, and the identity of self -- States of mind -- Why hearts don't love and brains don't pump -- EEG : a window on the mind -- Dynamic patterns as shadows of thought -- Networks, waves, and resonant binding -- The limits of science : What do we really know? -- Modern physics, cosmology, and consciousness -- The weird behavior of quantum systems -- Ontological interpretations of quantum mechanics -- Does the brain (...)
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  8. Bernard Korzeniewski (2010). From Neurons to Self-Consciousness: How the Brain Generates the Mind. Humanity Books.score: 42.0
    The main idea -- The functioning of a neuron -- Brain structure and function -- The general structure of the neural network -- Instincts, emotions, free will -- The nature of mental objects -- The rise and essence of (self-)consciousness -- Artificial intelligence -- Cognitive limitations of man.
     
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  9. David A. Oakley (ed.) (1985). Brain and Mind. Methuen.score: 39.0
  10. C. Cobb (1955). Awareness, Attention, and Physiology of the Brain Stem. In P. Hoch & J. Zubin (eds.), Experimental Psychopathology. Grune & Stratton.score: 36.0
  11. Bernard J. Baars (1999). Attention Vs Consciousness in the Visual Brain: Differences in Conception, Phenomenology, Behavior, Neuroanatomy, and Physiology. Journal of General Psychology 126:224-33.score: 36.0
  12. Silvia A. Bunge & Jonathan D. Wallis (eds.) (2008). Neuroscience of Rule-Guided Behavior. Oxford University Press.score: 33.0
    euroscience of Rule-Guided Behavior brings together, for the first time, the experiments and theories that have created the new science of rules. Rules are central to human behavior, but until now the field of neuroscience lacked a synthetic approach to understanding them. How are rules learned, retrieved from memory, maintained in consciousness and implemented? How are they used to solve problems and select among actions and activities? How are the various levels of rules represented in the brain, ranging from (...)
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  13. Arturo Rosenblueth (1970). Mind And Brain: A Philosophy Of Science. Cambridge: Mit Press.score: 33.0
  14. Rahul Banerjee & B. K. Chakrabarti (eds.) (2008). Models of Brain and Mind: Physical, Computational, and Psychological Approaches. Elsevier.score: 33.0
    The phenomenon of consciousness has always been a central question for philosophers and scientists. Emerging in the past decade are new approaches to the understanding of consciousness in a scientific light. This book presents a series of essays by leading thinkers giving an account of the current ideas prevalent in the scientific study of consciousness. The value of the book lies in the discussion of this interesting though complex subject from different points of view ranging from physics, computer science to (...)
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  15. F. N. L. Poynter (ed.) (1958). The History And Philosophy Of Knowledge Of The Brain And Its Functions. Blackwell.score: 33.0
     
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  16. J. Allan Hobson, Edward F. Pace-Schott & Robert Stickgold (2003). Dreaming and the Brain: Toward a Cognitive Neuroscience of Conscious States. In Edward F. Pace-Schott, Mark Solms, Mark Blagrove & Stevan Harnad (eds.), Sleep and Dreaming: Scientific Advances and Reconsiderations. Cambridge University Press.score: 30.0
    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 (...)
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  17. Simeon Locke (2008). Consciousness, Self-Consciousness, and the Science of Being Human. Praeger.score: 30.0
    In the beginning: introduction -- This I believe: preview -- This they believe: other views -- Where it begins: anatomy and environment -- Where it began: evolution -- What is it?: consciousness -- There was the word: self-consciousness and language -- See here: attention -- Perhaps to dream: sleep -- x=2y: representation -- The dance of life: movement -- They all fall down: dissolution of function -- Been there, done that: experience -- Which have eyes and see not: stimulus hierarchy (...)
     
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  18. 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: 27.0
    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 (...)
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  19. A. Berthoz (2008). The Physiology and Phenomenology of Action. Oxford University Press.score: 27.0
    Though many philosophers of mind have taken an interest in the great developments in the brain sciences, the interest is seldom reciprocated by scientists, who frequently ignore the contributions philosophers have made to our understanding of the mind and brain. In a rare collaboration, a world famous brain scientist and an eminent philosopher have joined forces in an effort to understand how our brain interacts with the world. Does the brain behave as a calculator, combining (...)
     
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  20. Stephen Biggs (2007). The Phenomenal Mindreader: A Case for Phenomenal Simulation. Philosophical Psychology 20 (1):29-42.score: 24.0
    This paper specifies two hypotheses that are intimated in recent research on empathy and mindreading. The first, the phenomenal simulation hypothesis, holds that those attributing mental states (i.e., mindreaders) sometimes simulate the phenomenal states of those to whom they are making attributions (i.e., targets). The second, the phenomenal mindreading hypothesis, holds that this phenomenal simulation plays an important role in some mental state attributions. After explicating these hypotheses, the paper focuses on the first. It argues that neuropsychological experiments on empathy (...)
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  21. J. R. Smythies (1956). Analysis Of Perception. London,: Routledge &Amp; K Paul,.score: 24.0
    Routledge is now re-issuing this prestigious series of 204 volumes originally published between 1910 and 1965.
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  22. Emanuel Gluskin (2012). An Argument Regarding the Nature of Hooligan Behavior. Dialogues in Philosophy, Mental and Neuro Sciences 5 (2):51-53.score: 24.0
    We refer to the remarkable thought of Erwin Schrödinger expressed in his book “What is life?” regarding the connection between life and a decrease of entropy realized via feeding (eating). This thought is “transferred” into the field of human psychology, explaining hooligan behavior (e.g. the “days of violence”) as a natural human response to the improper (in its content or form) “informational feeding” that does not allow one to normally treat (‘’digest”) the received information, i.e. to make ones thoughts simpler (...)
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  23. Barbara E. Jones (2000). The Interpretation of Physiology. Behavioral and Brain Sciences 23 (6):955-956.score: 24.0
    Not at all self-evident, the so-called isomorphisms between the phenomenology and physiology of dreams have been interpreted by Hobson et al. in an arbitrary manner to state that dreams are stimulated by chaotic brainstem stimulation (an assumption also adopted by Vertes & Eastman). I argue that this stimulation is not chaotic at all; nor does it occur in the absence of control from the cerebral cortex, which contributes complexity to brainstem activity as well as meaningful information worth consolidating in (...)
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  24. Peter Bieri (1995). Why is Consciousness Puzzling? In Thomas Metzinger (ed.), Conscious Experience. Ferdinand Schoningh.score: 24.0
     
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  25. Opher Donchin & Amir Raz (2004). Where in the Brain Does the Forward Model Lurk? Behavioral and Brain Sciences 27 (3):402-403.score: 24.0
    The general applicability of forward models in brain function has previously been recognized. Grush's contribution centers largely on broadening the extent and scope of forward models. However, in his effort to expand and generalize, important distinctions may have been overlooked. A better grounding in the underlying physiology would have helped to illuminate such valuable differences and similarities.
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  26. Erik Gotlind (1958). Three Theories Of Emotion: Some Views On Philosophical Method. Lund,: Gleerup.score: 24.0
     
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  27. Philip R. Lee (ed.) (1976/1977). Symposium On Consciousness, Presented At The Annual Meeting Of The American Association For The Advancement Of Science, 1974. Viking Press.score: 24.0
  28. Mario von Cranach (1976). Methods Of Inference From Animal To Human Behaviour. The Hague: Mouton.score: 24.0
     
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  29. Roger Whitehead & Scott D. Schliebner (2001). Arousal: Conscious Experience and Brain Mechanisms. In Peter G. Grossenbacher (ed.), Finding Consciousness in the Brain: A Neurocognitive Approach. John Benjamins.score: 24.0
  30. William P. Bechtel (2002). Decomposing the Brain: A Long Term Pursuit. Brain and Mind 3 (1):229-242.score: 21.0
    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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  31. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2001). Operational Architectonics of the Human Brain Biopotential Field: Toward Solving the Mind-Brain Problem. Brain and Mind 2 (3):261-296.score: 21.0
    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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  32. T. Forcht Dagi & Rebecca Kaufman (2001). Clarifying the Discussion on Brain Death. Journal of Medicine and Philosophy 26 (5):503 – 525.score: 21.0
    Definitions of death are based on subjective standards, priorities, and social conventions rather than on objective facts about the state of human physiology. It is the meaning assigned to the facts that determines whensomeone may be deemed to have died, not the facts themselves. Even though subjective standards for the diagnosis of death show remarkable consistency across communities, they are extrinsic. They are driven, implicitly or explicitly, by ideas about what benefits the community rather than what benefits the indidvidual. (...)
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  33. Ullin T. Place (2000). The Two Factor Theory of the Mind-Brain Relation. Brain and Mind 1 (1):29-43.score: 21.0
    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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  34. Timo Järvilehto (2001). Feeling as Knowing--Part II: Emotion, Consciousness and Brain Activity. Consciousness and Emotion. Special Issue 2 (1):75-102.score: 21.0
    In the latter part of this two-article sequence, the concept of emotion as reorganization of the organism-environment system is developed further in relation to consciousness, subjective experience and brain activity. It is argued that conscious emotions have their origin in reorganizational changes in primitive co-operative organizations, in which they get a more local character with the advent of personal consciousness and individuality, being expressed in conscious emotions. However, the conscious emotion is not confined to the individual only, but it (...)
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  35. Serge Goldman, Brain Imaging.score: 21.0
    While philosophers have, for centuries, pondered upon the relation between mind and brain, neuroscientists have only recently been able to explore the connection analytically — to peer inside the black box. This ability stems from recent advances in technology and emerging neuroimaging modalities. It is now possible not only to produce remarkably detailed images of the brain’s structure (i.e. anatomical imaging) but also to capture images of the physiology associated with mental processes (i.e. functional imaging). We are (...)
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  36. 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: 21.0
  37. A. Smith (1986). Brain-Mind Philosophy. Inquiry 29 (June):203-15.score: 21.0
    The remarkable advances in continuing elucidation of the anatomy, physiology, and pathology of the central nervous system in recent experimental animal and clinical studies have provided new contexts for evaluating earlier historical and current controversies on human brain?structure?function and brain?mind relationships. Churchland's Neurophilosophy reviews and critically evaluates the implications of the recent advances in the various neurosciences for formulation of a comprehensive concept of the nature of the mind and the historical controversies on human structure?function and (...)?mind relationships. Although uneven, it is a monumental effort and a remarkable achievement that will provide new, broader, and deeper contexts for philosophers as well as for those engaged in the various neurosciences. (shrink)
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  38. Sean Spence (2009). The Actor's Brain: Exploring the Cognitive Neuroscience of Free Will. OUP Oxford.score: 21.0
    Is free will just an illusion? What is it within the brain that allows us to pursue our own actions and objectives? What is it about this organ that permits the emergence of seemingly purposeful behaviour, giving us the impression that we are 'free'? This book takes a journey through the anatomy and physiology, the structures and processes, of the human brain to demonstrate what is known about the control of voluntary behaviour, when it is 'normal' and (...)
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  39. Jonathan Winson (1985/1986). Brain and Psyche: The Biology of the Unconscious. Vintage Books.score: 21.0
  40. Mostyn W. Jones (forthcoming). How to Make Mind-Brain Relations Clear. Journal of Consciousness Studies.score: 18.0
    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. 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: 18.0
    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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  42. Bernard J. Baars, Thomas Zoega Ramsoy & Steven Laureys (2003). Brain, Conscious Experience, and the Observing Self. Trends in Neurosciences 26 (12):671-5.score: 18.0
    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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  43. 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: 18.0
    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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  44. Andrew Brook & Kathleen Akins (eds.) (2005). Cognition and the Brain: The Philosophy and Neuroscience Movement. Cambridge University Press.score: 18.0
    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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  45. Mark Solms (2000). Dreaming and Rem Sleep Are Controlled by Different Brain Mechanisms. Behavioral and Brain Sciences 23 (6):843-850.score: 18.0
    The paradigmatic assumption that REM sleep is the physiological equivalent of dreaming is in need of fundamental revision. A mounting body of evidence suggests that dreaming and REM sleep are dissociable states, and that dreaming is controlled by forebrain mechanisms. Recent neuropsychological, radiological, and pharmacological findings suggest that the cholinergic brain stem mechanisms that control the REM state can only generate the psychological phenomena of dreaming through the mediation of a second, probably dopaminergic, forebrain mechanism. The latter mechanism (and (...)
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  46. K. R. Popper, B. I. B. Lindahl & P. Århem (1993). A Discussion of the Mind-Brain Problem. Theoretical Medicine 14 (2):167-180.score: 18.0
    In this paper Popper formulates and discusses a new aspect of the theory of mind. This theory is partly based on his earlier developed interactionistic theory. It takes as its point of departure the observation that mind and physical forces have several properties in common, at least the following six: both are (i) located, (ii) unextended, (iii) incorporeal, (iv) capable of acting on bodies, (v) dependent upon body, (vi) capable of being influenced by bodies. Other properties such as intensity and (...)
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  47. John C. Eccles (1990). Evolution of the Brain: Creation of the Self. New York: Routledge.score: 18.0
    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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  48. Georg Northoff (2004). Philosophy of the Brain: The Brain Problem. John Benjamins.score: 18.0
    This novel approach plunges the reader into the depths of our own brain.
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  49. 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: 18.0
    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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  50. Carl F. Craver (2007). Explaining the Brain: Mechanisms and the Mosaic Unity of Neuroscience. Oxford University Press, Clarendon Press ;.score: 18.0
    Carl Craver investigates what we are doing when we sue neuroscience to explain what's going on in the brain.
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  51. Tony Stone & Andrew W. Young (1997). Delusions and Brain Injury: The Philosophy and Psychology of Belief. Mind and Language 12 (3-4):327-64.score: 18.0
    Circumscribed delusional beliefs can follow brain injury. We suggest that these involve anomalous perceptual experiences created by a deficit to the person's perceptual system, and misinterpretation of these experiences due to biased reasoning. We use the Capgras delusion (the claim that one or more of one's close relatives has been replaced by an exact replica or impostor) to illustrate this argument. Our account maintains that people voicing this delusion suffer an impairment that leads to faces being perceived as drained (...)
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  52. Andrew A. Fingelkurts, Alexander A. Fingelkurts & Carlos F. H. Neves (2009). Phenomenological Architecture of a Mind and Operational Architectonics of the Brain: The Unified Metastable Continuum. In Robert Kozma & John Caulfield (eds.), Journal of New Mathematics and Natural Computing. Special Issue on Neurodynamic Correlates of Higher Cognition and Consciousness: Theoretical and Experimental Approaches - in Honor of Walter J Freeman's 80th Birthday. World Scientific.score: 18.0
    In our contribution we will observe phenomenal architecture of a mind and operational architectonics of the brain and will show their intimate connectedness within a single integrated metastable continuum. The notion of operation of different complexity is the fundamental and central one in bridging the gap between brain and mind: it is precisely by means of this notion that it is possible to identify what at the same time belongs to the phenomenal conscious level and to the neurophysiological (...)
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  53. Alexander A. Fingelkurts, Andrew A. Fingelkurts, Sakari Kallio & Antti Revonsuo (2007). HYPNOSIS INDUCES A CHANGED COMPOSITION OF BRAIN OSCILLATIONS IN EEG: A CASE STUDY. Contemporary Hypnosis 24 (1):3-18.score: 18.0
    Cognitive functions associated with the frontal lobes of the brain may be specifi cally involved in hypnosis. Thus, the frontal area of the brain has recently been of great interest when searching for neural changes associated with hypnosis. We tested the hypothesis that EEG during pure hypnosis would differ from the normal non-hypnotic EEG especially above the frontal area of the brain. The composition of brain oscillations was examined in a broad frequency band (130 Hz) in (...)
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  54. Patricia S. Churchland (2002). Brain-Wise: Studies in Neurophilosophy. MIT Press.score: 18.0
    A neurophilosopher?s take on the self, free will, human understanding, and the experience of God, from the perspective of the brain.
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  55. Maxim I. Stamenov & Vittorio Gallese (eds.) (2002). Mirror Neurons and the Evolution of Brain and Language. John Benjamins.score: 18.0
    Selected contributions to the symposium on "Mirror neurons and the evolution of brain and language" held on July 5-8, 2000 in Delmenhorst, Germany.
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  56. Lynne Rudder Baker (2001). Are Beliefs Brain States? In Anthonie W. M. Meijers (ed.), Explaining Beliefs. CSLI Publications (Stanford).score: 18.0
    During the past couple of decades, philosophy of mind--with its siblings, philosophy of psychology and cognitive science--has been one of the most exciting areas of philosophy. Yet, in that time, I have come to think that there is a deep flaw in the basic conception of its object of study--a deep flaw in its conception of the so-called propositional attitudes, like belief, desire, and intention. Taking belief as the fundamental propositional attitude, scientifically-minded philosophers hold that beliefs, if there are any, (...)
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  57. Jennifer Mundale (2002). Concepts of Localization: Balkanization in the Brain. Brain and Mind 3 (3):313-30.score: 18.0
    A spate of recent anti-localizationist publications have re-ignited the old debate about the localization of function. Many of the recent attacks on localization, however, are directed at what I will argue to be a narrow and outmoded view of localization, and thus have little conceptual or empirical impact. What I hope to present here is an analysis of functional localization that more adequately reflects the sophistication and complexity of its use in neuroscientific research, both historically and recently. Proceeding first by (...)
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  58. Mario Beauregard (ed.) (2004). Consciousness, Emotional Self-Regulation and the Brain. John Benjamins.score: 18.0
    This book will undoubtedly be useful to scholars and graduate students interested in the relationships between self-consciousness, emotion, the brain, and the...
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  59. Rick Grush (2003). In Defense of Some "Cartesian" Assumption Concerning the Brain and its Operation. Biology and Philosophy 18 (1):53-92.score: 18.0
    I argue against a growing radical trend in current theoretical cognitive science that moves from the premises of embedded cognition, embodied cognition, dynamical systems theory and/or situated robotics to conclusions either to the effect that the mind is not in the brain or that cognition does not require representation, or both. I unearth the considerations at the foundation of this view: Haugeland's bandwidth-component argument to the effect that the brain is not a component in cognitive activity, and arguments (...)
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  60. Gabriel Vacariu (2005). Mind, Brain, and Epistemologically Different Worlds. Synthese 147 (3):515-548.score: 18.0
    The reason why, since Descartes, nobody has found a solution to the mind–body problem seems to be that the problem itself is a false or pseudo-problem. The discussion has proceeded within a pre-Cartesian conceptual framework which itself is a source of the difficulty. Dualism and all its alternatives have preserved the same pre-Cartesian conceptual framework even while denying Descartes’ dualism. In order to avoid this pseudo-problem, I introduce a new perspective with three elements: the subject, the observed object, and the (...)
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  61. Ezequiel Di Paolo & Hanne De Jaegher (2012). The Interactive Brain Hypothesis. Frontiers in Human Neuroscience 6.score: 18.0
    Enactive approaches foreground the role of interpersonal interaction in explanations of social understanding. This motivates, in combination with a recent interest in neuroscientific studies involving actual interactions, the question of how interactive processes relate to neural mechanisms involved in social understanding. We introduce the Interactive Brain Hypothesis (IBH) in order to help map the spectrum of possible relations between social interaction and neural processes. The hypothesis states that interactive experience and skills play enabling roles in both the development and (...)
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  62. Andrew A. Fingelkurts, Alexander A. Fingelkurts & Giorgio Marchetti (2010). Editorial: Brain, Mind and Language Functional Architectures. Open Neuroimaging Journal 4:26-29.score: 18.0
    The interaction between brain and language has been investigated by a vast amount of research and different approaches, which however do not offer a comprehensive and unified theoretical framework to analyze how brain functioning performs the mental processes we use in producing language and in understanding speech. This Special Issue addresses the need to develop such a general theoretical framework, by fostering an interaction among the various scientific disciplines and methodologies, which centres on investigating the functional architecture of (...)
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  63. Gordon G. Globus (2003). Quantum Closures and Disclosures: Thinking-Together Postphenomenology and Quantum Brain Dynamics. John Benjamins.score: 18.0
    CHAPTER Heidegger and the Quantum Brain In any case the orientation to "I" and " consciousness" and re-presentation ...
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  64. Boris Kotchoubey, Andrea Kübler, Ute Strehl, Herta Flor & Niels Birbaumer (2002). Can Humans Perceive Their Brain States? Consciousness and Cognition 11 (1):98-113.score: 18.0
    Although the brain enables us to perceive the external world and our body, it remains unknown whether brain processes themselves can be perceived. Brain tissue does not have receptors for its own activity. However, the ability of humans to acquire self-control of brain processes indicates that the perception of these processes may also be achieved by learning. In this study patients learned to control low-frequency components of their EEG: the so-called slow cortical potentials (SCPs). In particular (...)
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  65. Catherine Vidal (2012). The Sexed Brain: Between Science and Ideology. Neuroethics 5 (3):295-303.score: 18.0
    Despite tremendous advances in neuroscience, the topic “brain, sex and gender” remains a matter of misleading interpretations, that go well beyond the bounds of science. In the 19th century, the difference in brain sizes was a major argument to explain the hierarchy between men and women, and was supposed to reflect innate differences in mental capacity. Nowadays, our understanding of the human brain has progressed dramatically with the demonstration of cerebral plasticity. The new brain imaging techniques (...)
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  66. John Bickle (1992). Mental Anomaly and the New Mind-Brain Reductionism. Philosophy of Science 59 (2):217-30.score: 18.0
    Davidson's principle of the anomalousness of the mental was instrumental in discrediting once-popular versions of mind-brain reductionism. In this essay I argue that a novel account of intertheoretic reduction, which does not require the sort of cross-theoretic bridge laws that Davidson's principle rules out, allows a version of mind-brain reductionism which is immune from Davidson's challenge. In the final section, I address a second worry about reductionism, also based on Davidson's principle, that survives this response. I argue that (...)
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  67. Robert Rosen (1993). Drawing the Boundary Between Subject and Object: Comments on the Mind-Brain Problem. Theoretical Medicine 14 (2):89-100.score: 18.0
    Physics says that it cannot deal with the mind-brain problem, because it does not deal in subjectivities, and mind is subjective. However, biologists (among others) still claim to seek a material basis for subjective mental processes, which would thereby render them objective. Something is clearly wrong here. I claim that what is wrong is the adoption of too narrow a view of what constitutes objectivity, especially in identifying it with what a machine can do. I approach the problem in (...)
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  68. Donald Borrett, Sean D. Kelly & Hon Kwan (2000). Phenomenology, Dynamical Neural Networks and Brain Function. Philosophical Psychology 13 (2):213-228.score: 18.0
    Current cognitive science models of perception and action assume that the objects that we move toward and perceive are represented as determinate in our experience of them. A proper phenomenology of perception and action, however, shows that we experience objects indeterminately when we are perceiving them or moving toward them. This indeterminacy, as it relates to simple movement and perception, is captured in the proposed phenomenologically based recurrent network models of brain function. These models provide a possible foundation from (...)
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  69. Jeffrey E. Foss (1992). Introduction to the Epistemology of the Brain: Indeterminacy, Micro-Specificity, Chaos, and Openness. Topoi 11 (1):45-57.score: 18.0
    Given that the mind is the brain, as materialists insist, those who would understand the mind must understand the brain. Assuming that arrays of neural firing frequencies are highly salient aspects of brain information processing (the vector functional account), four hurdles to an understanding of the brain are identified and inspected: indeterminacy, micro-specificity, chaos, and openness.
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  70. Max Velmans (1990). Consciousness, Brain, and the Physical World. Philosophical Psychology 3 (1):77-99.score: 18.0
    Dualist and Reductionist theories of mind disagree about whether or not consciousness can be reduced to a state of or function of the brain. They assume, however, that the contents of consciousness are separate from the external physical world as-perceived. According to the present paper this assumption has no foundation either in everyday experience or in science. Drawing on evidence for perceptual projection in both interoceptive and exteroceptive sense modalities, the case is made that the physical world as-perceived is (...)
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  71. Włodzisław Duch (2005). Brain-Inspired Conscious Computing Architecture. Journal of Mind and Behavior 26 (1-2):1-21.score: 18.0
    What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such system, guided and limited by associative memory, is similar to the stream of consciousness. Minimal requirements for an artificial system that will claim to be conscious were given in form of specific architecture named (...)
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  72. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2012). Mind as a Nested Operational Architectonics of the Brain. Physics of Life Reviews 9 (1):49-50.score: 18.0
    The target paper of Dr. Feinberg is a testimony to an admirable scholarship and deep thoughtfulness. This paper develops a general theoretical framework of nested hierarchy in the brain that allows production of mind with consciousness. The difference between non-nested and nested hierarchies is the following. In a non-nested hierarchy the entities at higher levels of the hierarchy are physically independent from the entities at lower levels and there is strong constraint of higher upon lower levels. In a nested (...)
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  73. Endel Tulving (2000). Memory, Consciousness, and the Brain: The Tallinn Conference. Psychology Pr.score: 18.0
  74. Rodney M. J. Cotterill (2000). On Brain and Mind. Brain and Mind 1 (2):237-244.score: 18.0
    An easily-accessible introduction is provided for theauthor''s book Enchanted Looms , which is reviewedelsewhere in this volume by Jesse Prinz and by MarcelKinsbourne, and also for the article Didconsciousness evolve from self-paced probing of theenvironment, and not from reflexes? , which alsoappears in this volume and which summarises theauthor''s more recent thoughts on consciousness.
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  75. Ruth Sample (2013). Autism and the Extreme Male Brain. In Jami L. Anderson Simon Cushing (ed.), The Philosophy of Autism. Rowman and Littlefield.score: 18.0
    ABSTRACT: Simon Baron-Cohen has argued that autism and related developmental disorders (sometimes called “autism spectrum conditions” or “autism spectrum disorders”) can be usefully thought of as the condition of possessing an “extreme male brain.” The impetus for regarding autism spectrum disorders (ASD) this way has been the accepted science regarding the etiology of autism, as developed over that past several decades. Three important features of this etiology ground the Extreme Male Brain theory. First, ASD is disproportionately male (approximately (...)
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  76. Gualtiero Piccinini (2004). The First Computational Theory of Mind and Brain: A Close Look at McCulloch and Pitts' Logical Calculus of Ideas Immanent in Nervous Activity. Synthese 141 (2):175-215.score: 18.0
    Despite its significance in neuroscience and computation, McCulloch and Pitts's celebrated 1943 paper has received little historical and philosophical attention. In 1943 there already existed a lively community of biophysicists doing mathematical work on neural networks. What was novel in McCulloch and Pitts's paper was their use of logic and computation to understand neural, and thus mental, activity. McCulloch and Pitts's contributions included (i) a formalism whose refinement and generalization led to the notion of finite automata (an important formalism in (...)
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  77. John Bickle (1997). From Sensory Neuroscience to Neurophilosophy: Reflections on Llinas and Churchland's Mind-Brain Continuum. Philosophical Psychology 10 (4):523-530.score: 18.0
    Philosophers and psychologists seeking an accessible introduction to current neuroscience will find much value in this volume. Befitting the neuroscientific focus on sensory processes, many essays address explicitly the binding problem. Theoretical and experimental work pertaining to the “temporal synchronicity” solution is prominent. But there are also some surprising implications for current philosophical concerns, such as the intemalism/extemalism debate about representational content, epistemological realism, a “bottom-up” approach to naturalizing intentionality, Humean concerns about the self, and implications from phantom-limb phenomena. Higher-level (...)
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  78. Camilo J. Cela-Conde & Gisèle Marty (1997). Mind Architecture and Brain Architecture. Biology and Philosophy 12 (3):327-340.score: 18.0
    The use of the computer metaphor has led to the proposal of mind architecture (Pylyshyn 1984; Newell 1990) as a model of the organization of the mind. The dualist computational model, however, has, since the earliest days of psychological functionalism, required that the concepts mind architecture and brain architecture be remote from each other. The development of both connectionism and neurocomputational science, has sought to dispense with this dualism and provide general models of consciousness – a uniform cognitive architecture (...)
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  79. Georg Northoff (2001). "Brain-Paradox" and "Embeddment": Do We Need a "Philosophy of the Brain"? Brain and Mind 195 (2):195-211.score: 18.0
  80. D. Schutter, J. van Honk & Jaak Panksepp (2004). Introducing Transcranial Magnetic Stimulation (TMS) and its Property of Causal Inference in Investigating Brain-Function Relationships. Synthese 141 (2):155-73.score: 18.0
    Transcranial magnetic stimulation (TMS) is a method capable of transiently modulating neural excitability. Depending on the stimulation parameters information processing in the brain can be either enhanced or disrupted. This way the contribution of different brain areas involved in mental processes can be studied, allowing a functional decomposition of cognitive behavior both in the temporal and spatial domain, hence providing a functional resolution of brain/mind processes. The aim of the present paper is to argue that TMS with (...)
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  81. W. R. Webster (2002). A Case of Mind/Brain Identity: One Small Bridge for the Explanatory Gap. Synthese 131 (2):275-287.score: 18.0
    Based on the technique of pressure blinding of the eye, two types of after-image (AI) were identified. A physicalist or mind/brain identity explanation was established for a negative a AI produced by moderately intense stimuli. These AI's were shown to be located in the neurons of the retina. An illusory AI of double a grating's spatial frequency was also produced in the same structure and was both prevented from being established and abolished after establishment by pressure blinding, thus showing (...)
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  82. Jakob Hohwy (2011). Mind–Brain Identity and Evidential Insulation. Philosophical Studies 26 (3):261-286.score: 18.0
    Is it rational to believe that the mind is identical to the brain? Identity theorists say it is (or looks like it will be, once all the neuroscientific evidence is in), and they base this claim on a general epistemic route to belief in identity. I re-develop this general route and defend it against some objections. Then I discuss how rational belief in mind–brain identity, obtained via this route, can be threatened by an appropriately adjusted version of the (...)
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  83. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2011). Persistent Operational Synchrony Within Brain Default-Mode Network and Self-Processing Operations in Healthy Subjects. Brain and Cognition 75 (2):79-90.score: 18.0
    Based on the theoretical analysis of self-consciousness concepts, we hypothesized that the spatio-temporal pattern of functional connectivity within the default-mode network (DMN) should persist unchanged across a variety of different cognitive tasks or acts, thus being task-unrelated. This supposition is in contrast with current understanding that DMN activated when the subjects are resting and deactivated during any attention-demanding cognitive tasks. To test our proposal, we used, in retrospect, the results from our two early studies ([Fingelkurts, 1998] and [Fingelkurts et al., (...)
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  84. Nir Lipsman & Walter Glannon (forthcoming). Brain, Mind and Machine: What Are the Implications of Deep Brain Stimulation for Perceptions of Personal Identity, Agency and Free Will? Bioethics.score: 18.0
    Brain implants, such as Deep Brain Stimulation (DBS), which are designed to improve motor, mood and behavioural pathology, present unique challenges to our understanding of identity, agency and free will. This is because these devices can have visible effects on persons' physical and psychological properties yet are essentially undetectable when operating correctly. They can supplement and compensate for one's inherent abilities and faculties when they are compromised by neuropsychiatric disorders. Further, unlike talk therapy or pharmacological treatments, patients need (...)
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  85. William S. Robinson (1995). Brain Symbols and Computationalist Explanation. Minds and Machines 5 (1):25-44.score: 18.0
    Computationalist theories of mind require brain symbols, that is, neural events that represent kinds or instances of kinds. Standard models of computation require multiple inscriptions of symbols with the same representational content. The satisfaction of two conditions makes it easy to see how this requirement is met in computers, but we have no reason to think that these conditions are satisfied in the brain. Thus, if we wish to give computationalist explanations of human cognition, without committing ourselvesa priori (...)
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  86. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2006). Timing in Cognition and EEG Brain Dynamics: Discreteness Versus Continuity. Cognitive Processing 7 (3):135-162.score: 18.0
    This article provides an overview of recent developments in solving the timing problem (discreteness vs. continuity) in cognitive neuroscience. Both theoretical and empirical studies have been considered, with an emphasis on the framework of Operational Architectonics (OA) of brain functioning (Fingelkurts and Fingelkurts, 2001, 2005). This framework explores the temporal structure of information flow and interarea interactions within the network of functional neuronal populations by examining topographic sharp transition processes in the scalp EEG, on the millisecond scale. We conclude, (...)
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  87. Arnold H. Modell (2003). Imagination and the Meaningful Brain. Bradford Book/MIT Press.score: 18.0
    " In Imagination and the Meaningful Brain, psychoanalyst Arnold Modell claims that subjective human experience must be included in any scientific...
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  88. Max Velmans (2002). Making Sense of Causal Interactions Between Consciousness and Brain. Journal of Consciousness Studies 9 (11):69-95.score: 18.0
    My target article (henceforth referred to as TA) presents evidence for causal interactions between consciousness and brain and some standard ways of accounting for this evidence in clinical practice and neuropsychological theory. I also point out some of the problems of understanding such causal interactions that are not addressed by standard explanations. Most of the residual problems have to do with how to cross the “explanatory gap” from consciousness to brain. I then list some of the reasons why (...)
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  89. Yasuki Hashimoto & Kuniyoshi L. Sakai (2003). Brain Activations During Conscious Self-Monitoring of Speech Production with Delayed Auditory Feedback: An fMRI Study. Human Brain Mapping 20 (1):22-28.score: 18.0
  90. Palmyre M. F. Oomen (2003). On Brain, Soul, Self, and Freedom: An Essay in Bridging Neuroscience and Faith. Zygon 38 (2):377-392.score: 18.0
    The article begins at the intellectual fissure between many statements coming from neuroscience and the language of faith and theology. First I show that some conclusions drawn from neuroscientific research are not as firm as they seem: neuroscientific data leave room for the interpretation that mind matters. I then take a philosophical-theological look at the notions of soul, self, and freedom, also in the light of modern scientific research (self-organization, neuronal networks), and present a view in which these theologically important (...)
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  91. Iain Brassington (2012). What's Wrong with the Brain Drain (?). Developing World Bioethics 12 (3):113-120.score: 18.0
    One of the characteristics of the relationship between the developed and developing worlds is the ‘brain drain’– the phenomenon by which expertise moves towards richer countries, thereby condemning poorer countries to continued comparative and absolute poverty. It is tempting to see the phenomenon as a moral problem in its own right, such that there is a moral imperative to end it, that is separate from (and additional to) any moral imperative to relieve the burden of poverty. However, it is (...)
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  92. Walter J. Freeman (2001). Noise-Driven Attractor Landscapes for Perception by Mesoscopic Brain Dynamics. Behavioral and Brain Sciences 24 (5):816-817.score: 18.0
    Tsuda offers advanced concepts to model brain functions, includ-ing “chaotic itinerancy,” “attractor ruins,” “singular-continuous nowhere-differentiable attractors,” “Cantor coding,” “multi-Milnor attractor systems,” and “dynamically generated noise.” References to physiological descriptions of attractor landscapes governing activity over cortical fields maintained by millions of action potentials may facilitate their application in future experimental designs and data analyses.
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  93. Gregory M. Nixon (2013). Scientism, Philosophy and Brain-Based Learning. Northwest Journal of Teacher Education 11 (2):113-144.score: 18.0
    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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  94. S. Quartz (2003). Innateness and the Brain. Biology and Philosophy 18 (1):13-40.score: 18.0
    The philosophical innateness debate has long relied onpsychological evidence. For a century, however, a parallel debate hastaken place within neuroscience. In this paper, I consider theimplications of this neuroscience debate for the philosophicalinnateness debate. By combining the tools of theoretical neurobiologyand learning theory, I introduce the ``problem of development'' that alladaptive systems must solve, and suggest how responses to this problemcan demarcate a number of innateness proposals. From this perspective, Isuggest that the majority of natural systems are in fact innate. (...)
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  95. Eugen Fischer (2001). Unfair to Physiology. Acta Analytica 16 (26):135-155.score: 18.0
    The paper seeks to refute the idea that physiology can explain at best an organism’s behaviour, outward and inner, but not the conscious experiences that accompany that behaviour. To do so, the paper clarifies the idea by confrontation with an actual example of psychophysical explanation of perceptual experience. This reveals that the idea relies on a prejudice about physiological practice. Then the paper explores some peculiar ways in which this prejudice may survive its refutation. This is to bring out (...)
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  96. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2004). Making Complexity Simpler: Multivariability and Metastability in the Brain. International Journal of Neuroscience 114 (7):843 - 862.score: 18.0
    This article provides a retrospective, current and prospective overview on developments in brain research and neuroscience. Both theoretical and empirical studies are considered, with emphasis in the concept of multivariability and metastability in the brain. In this new view on the human brain, the potential multivariability of the neuronal networks appears to be far from continuous in time, but confined by the dynamics of short-term local and global metastable brain states. The article closes by suggesting some (...)
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  97. Charles D. Keyes (1999). Brain Mystery Light and Dark: The Rhythm and Harmony of Consciousness. Routledge.score: 18.0
    Brain Mystique Light and Dark bridges the gap between neuroscience, brain evolution and consciousness by examining scientific models of how the brain becomes conscious. The book argues that the spiritual dimension of life is compatible with scientific naturalism. Not bound by conventional stereotypes, Charles Don Keyes safeguards the unity of brain/mind, synthesized from a wide range of sources, reinterprets the triune brain concept and self-reference models of consciousness.
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  98. 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.score: 18.0
    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 (...)
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  99. Peter M. Milner (1999). The Autonomous Brain: A Neural Theory of Attention and Learning. L. Erlbaum Associates.score: 18.0
    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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  100. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2013). Dissipative Many-Body Model and a Nested Operational Architectonics of the Brain. Physics of Life Reviews 10:103-105.score: 18.0
    This paper briefly review a current trend in neuroscience aiming to combine neurophysiological and physical concepts in order to understand the emergence of spatio-temporal patterns within brain activity by which brain constructs knowledge from multiple streams of information. The authors further suggest that the meanings, which subjectively are experienced as thoughts or perceptions can best be described objectively as created and carried by large fields of neural activity within the operational architectonics of brain functioning.
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