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Neural Synchrony and Binding

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  1. F. Tito Arecchi (2003). Chaotic Neuron Dynamics, Synchronization, and Feature Binding: Quantum Aspects. Mind and Matter 1 (1):15-43.
    A central issue of cognitive neuroscience is to understand how a large collection of coupled neurons combines external signals with internal memories into new coherent patterns of meaning. An external stimulus localized at some input spreads over a large assembly of coupled neurons, building up a collective state univocally corresponding to the stimulus. Thus, the synchronization of spike trains of many individual neurons is the basis of a coherent perception. Based on recent investigations of homoclinic chaotic systems and their synchronization, (...)
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  2. Antonio R. Damasio (1989). The Brain Binds Entities and Events by Multiregional Activation From Convergence Zones. Neural Computation 1:123-32.
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  3. Antonio R. Damasio (1989). Time-Locked Multiregional Retroactivation: A Systems-Level Proposal for the Neural Substrates of Recognition and Recall. Cognition 3:25-62.
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  4. Sam M. Doesburg, Keiichi Kitajo & Lawrence M. Ward (2005). Increased Gamma-Band Synchrony Precedes Switching of Conscious Perceptual Objects in Binocular Rivalry. Neuroreport 16 (11):1139-1142.
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  5. Reinhard Eckhorn, R. Bauer, W. Jordan, M. Brosch & H. J. Reitbock (1988). Coherent Oscillations: A Mechanism for Feature Linking in the Visual Cortex. Biological Cybernetics 60:121-30.
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  6. Andreas K. Engel, P. Fries, P. Kreiter Konig, M. Brecht & Wolf Singer (1999). Temporal Binding, Binocular Rivalry, and Consciousness. Consciousness and Cognition 8 (2):128-51.
    Cognitive functions like perception, memory, language, or consciousness are based on highly parallel and distributed information processing by the brain. One of the major unresolved questions is how information can be integrated and how coherent representational states can be established in the distributed neuronal systems subserving these functions. It has been suggested that this so-called ''binding problem'' may be solved in the temporal domain. The hypothesis is that synchronization of neuronal discharges can serve for the integration of distributed neurons into (...)
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  7. Andreas K. Engel, P. Fries, P. Kreiter Konig, M. Brecht & Wolf Singer (1999). Does Time Help to Understand Consciousness? Consciousness and Cognition 8 (2):260-68.
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  8. Andreas K. Engel, P. Kreiter Konig & Schillen A. K. (1992). Temporal Coding in the Visual Cortex: New Vistas on Integration in the Nervous System. Trends in Neurosciences 15:218-26.
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  9. Andreas K. Engel & Wolf Singer (2001). Temporal Binding and the Neural Correlates of Sensory Awareness. Trends in Cognitive Sciences 5 (1):16-25.
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  10. Tomer Fekete (2010). Representational Systems. Minds and Machines 20 (1):69-101.
    The concept of representation has been a key element in the scientific study of mental processes, ever since such studies commenced. However, usage of the term has been all but too liberal—if one were to adhere to common use it remains unclear if there are examples of physical systems which cannot be construed in terms of representation. The problem is considered afresh, taking as the starting point the notion of activity spaces—spaces of spatiotemporal events produced by dynamical systems. It is (...)
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  11. Andrew A. Fingelkurts & Alexander A. Fingelkurts (forthcoming). Mind as a Nested Operational Architectonics of the Brain. Physics of Life Reviews.
    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 hierarchy, (...)
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  12. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2004). Making Complexity Simpler: Multivariability and Metastability in the Brain. International Journal of Neuroscience 114 (7):843 - 862.
    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 of the implications of (...)
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  13. 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.
    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 and conceptual (...)
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  14. Andrew A. Fingelkurts, Alexander A. Fingelkurts, Sakari Kallio & Antti Revonsuo (2007). Cortex Functional Connectivity as a Neurophysiological Correlate of Hypnosis: An EEG Case Study. Neuropsychologia 45 (7):14521462.
    Cortex functional connectivity associated with hypnosis was investigated in a single highly hypnotizable subject in a normal baseline condition and under neutral hypnosis during two sessions separated by a year. After the hypnotic induction, but without further suggestions as compared to the baseline condition, all studied parameters of local and remote functional connectivity were significantly changed. The significant differences between hypnosis and the baseline condition were observable (to different extent) in five studied independent frequency bands (delta, theta, alpha, beta, and (...)
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  15. Pascal Fries, Pieter R. Roelfsema, Andreas K. Engel & Wolf Singer (1997). Synchronization of Oscillatory Responses in Visual Cortex Correlates with Perception in Interocular Rivalry. Proceedings of the National Academy of Sciences Usa 94:12699-12704.
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  16. James W. Garson (2001). (Dis)Solving the Binding Problem. Philosophical Psychology 14 (4):381 – 392.
    The binding problem is to explain how information processed by different sensory systems is brought together to unify perception. The problem has two sides. First, we want to explain phenomenal binding: the fact that we experience a single world rather than separate perceptual fields for each sensory modality. Second, we must solve a functional problem: to explain how a neural net like the brain links instances to types. I argue that phenomenal binding and functional binding require very different treatments. The (...)
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  17. Ian Gold (1999). Does 40-Hz Oscillation Play a Role in Visual Consciousness? Consciousness and Cognition 8 (2):186-95.
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  18. H. D. R. Golledge, C. C. Hilgetag & M. J. Tovee (1996). Information Processing: A Solution to the Binding Problem. Current Biology 6:1092-95.
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  19. Charles M. Gray (1994). Synchronous Oscillations in Neuronal Systems: Mechanisms and Functions. Journal of Computational Neuroscience 1:11-38.
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  20. Valerie Gray Hardcastle (1997). Consciousness and the Neurobiology of Perceptual Binding. Seminars in Neurology 17:163-70.
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  21. Valerie Gray Hardcastle (1994). Psychology's "Binding Problem" and Possible Neurobiological Solutions. Journal of Consciousness Studies 1:66-90.
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  22. S. A. Helekar (1999). In Defense of Experience-Coding Nonarbitrary Temporal Neural Activity Patterns. Consciousness and Cognition 8 (4):455-461.
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  23. Glyn W. Humphreys (2003). Conscious Visual Representations Built From Multiple Binding Processes: Evidence From Neuropsychology. In Axel Cleeremans (ed.), The Unity of Consciousness. Oxford University Press.
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  24. P. Kreiter Konig & Andreas K. Engel (1995). Correlated Firing in Sensory-Motor Systems. Current Opinion in Neurobiology 5:511-19.
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  25. P. Kreiter Konig, Andreas K. Engel & Wolf Singer (1995). Relation Between Oscillatory Activity and Long-Range Synchronization in Cat Visual Cortex. Proceedings of the National Academy of Sciences Usa 92:290-94.
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  26. R. Llinas & U. Ribary (1998). Temporal Conjunction in Thalamocortical Transactions. In H. Jasper, L. Descarries, V. Castellucci & S. Rossignol (eds.), Consciousness: At the Frontiers of Neuroscience. Lippincott-Raven.
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  27. Antoine Lutz, Jacques Martinerie, Jean-Philippe Lachaux & Francisco J. Varela (2002). Guiding the Study of Brain Dynamics by Using First- Person Data: Synchrony Patterns Correlate with Ongoing Conscious States During a Simple Visual Task. Proceedings of the National Academy of Sciences of the Usa 99 (3):1586-1591.
    Laboratoire de Neurosciences Cognitives et Imagerie Ce´re´brale (LENA), Hoˆpital de La Salpeˆtrie`re, Centre National de la Recherche Scientifique (CNRS).
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  28. Kimford J. Meador, P. G. Ray, J. R. Echauz, D. W. Loring & G. J. Vachtsevanos (2002). Gamma Coherence and Conscious Perception. Neurology 59 (6):847-854.
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  29. J. I. Nelson (1995). Binding in the Visual System. In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press.
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  30. J. B. Newman & A. A. Grace (1999). Binding Across Time: The Selective Gating of Frontal and Hippocampal Systems Modulating Working Memory and Attentional States. Consciousness and Cognition 8 (2):196-212.
    Temporal binding via 40-Hz synchronization of neuronal discharges in sensory cortices has been hypothesized to be a necessary condition for the rapid selection of perceptually relevant information for further processing in working memory. Binocular rivalry experiments have shown that late stage visual processing associated with the recognition of a stimulus object is highly correlated with discharge rates in inferotemporal cortex. The hippocampus is the primary recipient of inferotemporal outputs and is known to be the substrate for the consolidation of working (...)
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  31. R. C. O'Reilly, R. Busby & R. Soto (2003). Three Forms of Binding and Their Neural Substrates: Alternatives to Temporal Synchrony. In Axel Cleeremans (ed.), The Unity of Consciousness. Oxford University Press.
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  32. Jan Plate (2007). An Analysis of the Binding Problem. Philosophical Psychology 20 (6):773 – 792.
    Despite its prominent role in cognitive psychology, its relevance for the research of consciousness, and some helpful clarification (e.g., Revonsuo 1999), the binding problem is still surrounded by considerable confusion. In this paper, I first give an informal but systematic overview on the diversity of forms the binding problem can assume, and then attempt to extract, on the basis of "working definitions" of various much-discussed types of binding, a common denominator. I propose that at the heart of the binding problem (...)
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  33. Sean Enda Power (2010). Complex Experience, Relativity and Abandoning Simultaneity. Journal of Consciousness Studies 17 (3-4):231-256.
    Starting from the special theory of relativity it is argued that the structure of an experience is extended over time, making experience dynamic rather than static. The paper describes and explains what is meant by phenomenal parts and outlines opposing positions on the experience of time. Time according to he special theory of relativity is defined and the possibility of static experience shown to be implausible, leading to the conclusion that experience is dynamic. Some implications of this for the relationship (...)
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  34. W. Amiri Prinzmetal (1981). Principles of Feature Integration in Visual Perception. Perception and Psychophysics 30:330-40.
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  35. A. Revonsuo & J. B. Newman (1999). Binding and Consciousness. Consciousness and Cognition 8 (2):123-127.
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  36. Antti Revonsuo (1999). Binding and the Phenomenal Unity of Consciousness. Consciousness and Cognition 8 (2):173-85.
    The binding problem is frequently discussed in consciousness research. However, it is by no means clear what the problem is supposed to be and how exactly it relates to consciousness. In the present paper the nature of the binding problem is clarified by distinguishing between different formulations of the problem. Some of them make no mention of consciousness, whereas others are directly related to aspects of phenomenal experience. Certain formulations of the binding problem are closely connected to the classical philosophical (...)
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  37. Lynn C. Robertson (2003). Binding, Spatial Attention and Perceptual Awareness. Nature Reviews Neuroscience 4 (2):93-102.
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  38. Adina L. Roskies (1999). The Binding Problem. Neuron 24:7--9.
    (von der Malsburg, 1981), “the binding problem” has with the visual percept of it, so that both are effortlessly captured the attention of researchers across many disci- perceived as being aspects of a single event. I like to plines, including psychology, neuroscience, computa- refer to these sorts of problems as perceptual binding tional modeling, and even philosophy. Despite the is- problems, since they involve unifying aspects of per- sue’s prominence in these fields, what “binding” means cepts. In addition, there are (...)
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  39. K. Sauve (1999). Gamma-Band Synchronous Oscillations: Recent Evidence Regarding Their Functional Significance. Consciousness and Cognition 8 (2):213-24.
    How do our brains represent distinct objects in consciousness? In order to consciously distinguish between objects, our brains somehow selectively bind together activity patterns of spatially intermingled neurons that simultaneously represent similar and dissimilar features of distinct objects. Gamma-band synchronous oscillations (GSO) of neuroelectrical activity have been hypothesized to be a mechanism used by our brains to generate and bind conscious sensations to represent distinct objects. Most experiments relating GSO to specific features of consciousness have been published only in the (...)
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  40. Terence V. Sewards & Mark A. Sewards (2001). On the Correlation Between Synchronized Oscillatory Activities and Consciousness. Consciousness and Cognition 10 (4):485-495.
    Recent experiments have shown that the amplitudes of cortical gamma band oscillatory activities that occur during anesthesia are often greater than amplitudes of similar activities that occur without anesthesia. This result is apparently at odds with the hypothesis that synchronized oscillatory activities constitute the neural correlate of consciousness. We argue that while synchronization and oscillatory patterning are necessary conditions for consciousness, they are not sufficient. Based on the results of a binocular rivalry study of Fries et al. (1997), we propose (...)
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  41. L. Shastri & V. Ajjanagadde (1993). From Simple Associations to Systematic Reasoning: A Connectionist Representation of Rules, Variables, and Dynamic Binding Using Temporal Synchrony. Behavioral and Brain Sciences 16:417-51.
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  42. A. M. Sillito, H. E. Jones, G. L. Gerstein & D. C. West (1994). Feature-Linked Synchronization of Thalamic Relay Cell Firing Induced by Feedback From the Visual Cortex. Nature 369:479-82.
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  43. Wolf Singer (2001). Consciousness and the Binding Problem. Annals of the New York Academy of Sciences 929:123-46.
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  44. Wolf Singer (1993). Synchronization of Cortical Activity and its Putative Role in Information Processing and Learning. Annual Review of Physiology 55:349-74.
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  45. Wolf Singer, Andreas K. Engel, A. Kreiter, M. Munk & P. R. Roelfsema (1997). Neuronal Assemblies: Necessity, Signature, and Detectability. Trends in Cognitive Sciences 1:252-60.
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  46. Wolf Singer & Charles M. Gray (1995). Visual Feature Integration and the Temporal Correlation Hypothesis. Annual Review of Neuroscience 18:555-86.
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  47. Ramesh Srinivasan (2004). Internal and External Neural Synchronization During Conscious Perception. International Journal of Bifurcation and Chaos 14:825-42.
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  48. Mircea Steriade (1998). Corticothalamic Networks, Oscillations, and Plasticity. In H. Jasper, L. Descarries, V. Castellucci & S. Rossignol (eds.), Consciousness: At the Frontiers of Neuroscience. Lippincott-Raven.
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  49. Mircea Steriade, D. A. McCormick & Terrence J. Sejnowski (1993). Thalamocortical Oscillations in the Sleeping and Aroused Brain. Science 262:679-85.
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  50. M. Stryker (1989). Is Grandmother an Oscillation? Nature 338:297-8.
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  51. Christopher Summerfield, Anthony Ian Jack & Adrian Philip Burgess (2002). Induced Gamma Activity is Associated with Conscious Awareness of Pattern Masked Nouns. International Journal of Psychophysiology 44 (2):93-100.
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  52. Catherine Tallon-Baudry (2004). Attention and Awareness in Synchrony. Trends in Cognitive Sciences 8 (12):523-525.
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  53. Anne Treisman (1996). The Binding Problem. Current Opinion in Neurobiology 6:171-8.
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  54. Anne Treisman (1980). A Feature Integration Theory of Attention. Cognitive Psychology 12:97-136.
  55. S. Vanni (1999). Neural Synchrony and Dynamic Connectivity. Consciousness and Cognition 8 (2):159-163.
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  56. Leo R. Ward (2003). Synchronous Neural Oscillations and Cognitive Processes. Trends in Cognitive Sciences 7:553-559.
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  57. J. M. Wolfe & S. C. Bennett (1997). Preattentive Object Files: Shapeless Bundles of Basic Features. Vision Research 37:25-43.
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