The neural binding problem(s)

The famous Neural Binding Problem (NBP) comprises at least four distinct problems with different computational and neural requirements. This review discusses the current state of work on General Coordination, Visual Feature-Binding, Variable Binding, and the SubjectiveUnity of Perception. There is significant continuing progress, partially masked by confusing the different versions of the NBP.

[1]  Andreas Bartels,et al.  Their Conjunction in the Human Visual Cortex , 2009 .

[2]  Andreas Bartels,et al.  The Coding of Color, Motion, and Their Conjunction in the Human Visual Cortex , 2009, Current Biology.

[3]  Seth E. Bouvier,et al.  Visual Feature Binding Requires Reentry , 2010, Psychological science.

[4]  O. Solnitzky.  The neuron. , 1953, Bulletin. Georgetown University. Medical Center.

[5]  P. Fries.  A mechanism for cognitive dynamics: neuronal communication through neuronal coherence , 2005, Trends in Cognitive Sciences.

[6]  C. K. Michael Tse,et al.  Neural coding in networks of multi-populations of neural oscillators , 2012, Math. Comput. Simul..

[7]  Mary M Hayhoe,et al.  Vision in the natural world. , 2011, Wiley interdisciplinary reviews. Cognitive science.

[8]  Andrew Hollingworth,et al.  Binding objects to locations: the relationship between object files and visual working memory. , 2010, Journal of experimental psychology. Human perception and performance.

[9]  Christoph von der Malsburg,et al.  The Correlation Theory of Brain Function , 1994 .

[10]  Jerome A. Feldman,et al.  From Molecule to Metaphor - A Neural Theory of Language , 2006 .

[11]  Richard A. Andersen,et al.  A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons , 1988, Nature.

[12]  Rosemarie Velik,et al.  RETRACTED: From single neuron-firing to consciousness—Towards the true solution of the binding problem , 2010, Neuroscience & Biobehavioral Reviews.

[13]  P. Cavanagh.  Visual cognition , 2011, Vision Research.

[14]  Glyn W Humphreys,et al.  Conscious visual representations built from multiple binding processes: evidence from neuropsychology. , 2003, Progress in brain research.

[15]  Friedrich T. Sommer,et al.  Neural Oscillations and Synchrony as Mechanisms for Coding, Communication, and Computation in the Visual System , 2013 .

[16]  John C Gore,et al.  The role of the parietal cortex in visual feature binding , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[17]  A. Mack.  Inattentional Blindness , 2003 .

[18]  Arne D. Ekstrom,et al.  Brain Oscillations Control Timing of Single-Neuron Activity in Humans , 2007, The Journal of Neuroscience.

[19]  Eileen Kowler,et al.  Eye movements and the perception of a clear and stable visual world. , 2008, Journal of vision.

[20]  Yasuomi D. Sato,et al.  Dynamic link models for global decision making with binding-by-synchrony , 2010, 2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC).

[21]  Jerome Feldman,et al.  Ecological expected utility and the mythical neural code , 2009, Cognitive Neurodynamics.

[22]  F. Hamker,et al.  About the influence of post-saccadic mechanisms for visual stability on peri-saccadic compression of object location. , 2008, Journal of vision.

[23]  J. Kaas,et al.  The Primate visual system , 2003 .

[24]  T. Poggio,et al.  What and where: A Bayesian inference theory of attention , 2010, Vision Research.

[25]  Ronald A. Rensink,et al.  Change blindness: past, present, and future , 2005, Trends in Cognitive Sciences.

[26]  Hubert D. Zimmer,et al.  Handbook of Binding and Memory - Perspectives from Cognitive Neuroscience , 2006, Handbook of Binding and Memory.

[27]  D. Whitney.  Neuroscience: Toward Unbinding the Binding Problem , 2009, Current Biology.

[28]  Carmena Jose,et al.  Oscillatory phase coupling coordinates anatomically-dispersed functional cell assemblies , 2011 .

[29]  L. Shastri.  Episodic memory and cortico–hippocampal interactions , 2002, Trends in Cognitive Sciences.

[30]  Masahiko Morita,et al.  Attribute Pair-Based Visual Recognition and Memory , 2010, PloS one.

[31]  F. van der Velde,et al.  Neural blackboard architectures of combinatorial structures in cognition , 2006, Behavioral and Brain Sciences.

[32]  Jon H Kaas,et al.  Topographic Maps are Fundamental to Sensory Processing , 1997, Brain Research Bulletin.

[33]  Aniket Kittur,et al.  Compositional Connectionism in Cognitive Science: Papers from the AAAI Fall Symposium , 2004, AAAI 2004.

[34]  A. Treisman.  Solutions to the Binding Problem Progress through Controversy and Convergence , 1999, Neuron.

[35]  Aniket Kittur,et al.  A Solution to the Binding Problem for Compositional Connectionism , 2004, AAAI Technical Report.

[36]  Aaron C. Koralek,et al.  Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills , 2012, Nature.

[37]  Z. Harris,et al.  Foundations of language , 1941 .

[38]  W. Singer,et al.  Temporal binding and the neural correlates of sensory awareness , 2001, Trends in Cognitive Sciences.

[39]  Jerome A. Feldman,et al.  A (Somewhat) New Solution to the Binding Problem , 2006 .

[40]  Rubin Wang,et al.  Dynamic phase synchronization characteristics of variable high-order coupled neuronal oscillator population , 2010, Neurocomputing.

[41]  J. Dupré.  The Conscious Mind: In Search of a Fundamental Theory , 2000 .

[42]  P. Lennie.  Single Units and Visual Cortical Organization , 1998, Perception.

[43]  Ernst Strüngmann Forum,et al.  Dynamic coordination in the brain : from neurons to mind , 2010 .

[44]  John E. Hummel,et al.  Getting symbols out of a neural architecture , 2011, Connect. Sci..

[45]  R. Jackendoff.  Foundations of Language: Brain, Meaning, Grammar, Evolution , 2002 .

[46]  L. Shastri,et al.  From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony , 1993, Behavioral and Brain Sciences.

[47]  J. Kelso,et al.  Cortical coordination dynamics and cognition , 2001, Trends in Cognitive Sciences.

[48]  Daniel M. Cer,et al.  Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models , 2006, Handbook of Binding and Memory.

[49]  Vincent Di Lollo.  The feature-binding problem is an ill-posed problem. , 2012, Trends in cognitive sciences.

[50]  J. Vroomen,et al.  Perception of intersensory synchrony: A tutorial review , 2010, Attention, perception & psychophysics.

[51]  R. O’Reilly.  Biologically Based Computational Models of High-Level Cognition , 2006, Science.

[52]  Jerome A. Feldman,et al.  A (Somewhat) New Solution to the Variable Binding Problem , 2008, Neural Computation.

[53]  Michael N. Shadlen,et al.  Synchrony Unbound A Critical Evaluation of the Temporal Binding Hypothesis , 1999, Neuron.

[54]  R. Desimone,et al.  The Role of Neural Mechanisms of Attention in Solving the Binding Problem , 1999, Neuron.

[55]  Alan D Baddeley,et al.  Binding across space and time in visual working memory , 2010, Memory & cognition.

[56]  Thomas Serre,et al.  A feedforward architecture accounts for rapid categorization , 2007, Proceedings of the National Academy of Sciences.

[57]  Antony Browne,et al.  Connectionist variable binding , 1999, Expert Syst. J. Knowl. Eng..

[58]  P. Fries.  Neuronal gamma-band synchronization as a fundamental process in cortical computation. , 2009, Annual review of neuroscience.

[59]  Lokendra Shastri,et al.  Multiple instantiation and rule mediation in SHRUTI , 2004, Connect. Sci..

[60]  H. Barlow.  Why have multiple cortical areas? , 1986, Vision Research.