Variable binding by synaptic strength change

References

• Abeles , M. 1991 . Corticonics: Neural Circuits of the Cerebral Cortex , Cambridge , , UK : Cambridge University Press .
   Google Scholar
• Abeles , M. , Bergman , H. , Margalit , E. and Vaddia , E. 1993 . Spatiotemporal Firing Patterns in the Frontal Cortex of Behaving Monkeys . Journal of Neurophysiology , 70 ( 4 ) : 1629 – 1638 .
   PubMed Web of Science ®Google Scholar
• Ackley , D. , Hinton , G. and Sejnowski , T. 1985 . A Learning Algorithm for Boltzmann Machines . Cognitive Science , 9 : 147 – 169 .
   Web of Science ®Google Scholar
• Aiello , G. and y Rita , P. B. 2002 . The Cost of an Action Potential . Journal of Neuroscience Methods , 103 ( 2 ) : 145 – 149 .
   Web of Science ®Google Scholar
• Amit , D. 1989 . Modelling Brain Function: The World of Attractor Neural Networks , Cambridge , , UK : Cambridge University Press .
   Google Scholar
• Amit , D. and Brunel , N. 1997 . Model of Global Spontaneous Activity and Local Structured Activity During Delay Periods in the Cerebral Cortex . Cerebral Cortex , 7 : 237 – 252 .
   PubMed Web of Science ®Google Scholar
• Anderson , J. and Lebiere , C. 1998 . The Atomic Components of Thought , Mahwah , NJ : Lawrence Erlbaum .
   Google Scholar
• Attwell , D. and Laughlin , S. 2001 . An Energy Budget for Signaling in the Gray Matter of the Brain . Journal of Cereberal Blood Flow Metabolism , 21 ( 10 ) : 1133 – 1145 .
   PubMed Web of Science ®Google Scholar
• Bevan , M. and Wilson , C. 1999 . Mechanisms Underlying Spontaneous Oscillation and Rhythmic Firing in Rat Subthalamic Neurons . Neuroscience , 19 : 7617 – 7628 .
   PubMed Web of Science ®Google Scholar
• Bienenstock , E. and Malsburg , C. V.D. 1987 . A Neural Network for Invariant Pattern Recognition . Europhysics Letters , 4 ( 1 ) : 121 – 126 .
   Google Scholar
• Braitenberg , V. 1989 . “ Some Arguments for a Theory of Cell Assemblies in the Cerebral Cortex ” . In Neural Connections, Mental Computation , Edited by: Nadel , L. , Cooper , L. , Culicover , P. and Harnish , R. Cambridge , MA : MIT Press .
   Google Scholar
• Browne , A. and Sun , R. 1999 . Connectionist Variable Binding . Expert Systems , 16 ( 3 ) : 189 – 207 .
   Web of Science ®Google Scholar
• Brunel , N. 1996 . Hebbian Learning of Context in Recurrent Neural Networks . Neural Computation , 8 : 1677 – 1710 .
   PubMed Web of Science ®Google Scholar
• Buonomano , D. 1999 . Distinct Functional Types of Associative Long-term Potentiation in Neocortical and Hippocampal Pyramidal Neurons . Neuroscience , 19 ( 16 ) : 6748 – 6754 .
   PubMed Web of Science ®Google Scholar
• Carpenter , G. and Grossberg , S. 1988 . The Art of Adaptive Pattern Recognition by a Self-organizing Neural Network . IEEE Computer , 21 : 77 – 88 .
   Google Scholar
• Castro-Alamancos , M. and Connors , B. 1997 . Distinct Forms of Short-term Plasticity at Excitatory Synapses of Hippocampus and Neocortex . Proceedings of the National Academy of Sciences USA , 94 : 4161 – 4166 .
   PubMed Web of Science ®Google Scholar
• Chacron , M. , Pakdaman , K. and Longtin , A. 2003 . Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-fire Model with Threshold Fatigue . Neural Computation , 15 : 253 – 278 .
   PubMed Web of Science ®Google Scholar
• Churchland , P. and Sejnowski , T. 1992 . The Computational Brain , Cambridge , MA : MIT Press .
   Google Scholar
• Dayan , P. and Abbott , L. 2005 . Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , Cambridge , MA : MIT Press .
   Google Scholar
• deVries , P. 2004 . Effects of Binding in the Identification of Objects . Psychological Research , 69 : 41 – 66 .
   PubMed Web of Science ®Google Scholar
• Eccles , J. 1986 . Chemical Transmission and Dale's Principle . Progress in Brain Research , 68 : 3 – 13 .
   PubMed Web of Science ®Google Scholar
• Eckhorn , R. , Bauer , R. , Jordan , W. , Brosch , M. , Kruse , W. , Munk , M. and Reitboeck , H. 1988 . Coherent Oscillations: A Mechanism of Feature Linking in the Visual Cortex? . Biological Cybernetics , 60 : 121 – 130 .
   PubMed Web of Science ®Google Scholar
• Feldman , J. 1982 . Dynamic Connections in Neural Networks . Biological Cybernetics , 46 : 27 – 39 .
   PubMed Web of Science ®Google Scholar
• Fillmore , C. 1968 . “ The Case for Case ” . In Universals in Linguistic Theory , Edited by: Back , E. and Harms , R. New York : Holt, Rinheart and Winston Inc .
   Google Scholar
• Fodor , J. and Pylyshyn , Z. 1988 . Connectionism and Cognitive Architecture: A Criticial Analysis . Cognition , 28 : 3 – 71 .
   PubMed Web of Science ®Google Scholar
• Frixione , M. , Spinelli , G. and Gaglio , S. 1989 . Symbols and Subsymbols for Representing Knowledge: A Catalogue Raisonne . Proceedings of the Eleventh International Joint Conference on Artificial Intelligence , : 3 – 7 .
   Google Scholar
• Furber , S. , Bainbridge , W. , Cumpstey , J. and Temple , S. 2004 . Sparse Distributed Memory Using n-of-m Codes . Neural Networks , 17 ( 10 ) : 1437 – 1451 .
   PubMed Web of Science ®Google Scholar
• Fusi , S. 2008 . A Quiescent Working Memory . Science , 319 : 1495 – 1496 .
   PubMed Web of Science ®Google Scholar
• Fusi , S. , Drew , P. and Abbott , L. 2005 . Cascade Models of Synaptically Stored Memories . Neuron , 45 : 599 – 611 .
   PubMed Web of Science ®Google Scholar
• Gerstner , W. and Kistler , W. 2002 . Mathematical Formulations of Hebbian Learning . Biological Cybernetics , 87 : 404 – 415 .
   PubMed Web of Science ®Google Scholar
• Gerstner , W. and van Hemmen , J. 1992 . Associative Memory in a Network of Spiking Neurons . Network , 3 : 139 – 164 .
   PubMed Web of Science ®Google Scholar
• Gunay , C. and Maida , A. 2006 . Using Temporal Binding for Hierarchical Recruitment of Conjunctive Concepts Over Delayde Lines . Neurocomputing , 69 : 317 – 367 .
   Web of Science ®Google Scholar
• Hadley , R. 2007 . Synchronous vs. Conjunctive Binding: A False Dichotomy? . Connection Science , 19 ( 2 ) : 111 – 130 .
   Web of Science ®Google Scholar
• Harnad , S. 1990 . The Symbol Grounding Problem . Physica D , 42 : 335 – 346 .
   Web of Science ®Google Scholar
• Hebb , D. O. 1949 . The Organization of Behavior , New York : John Wiley and Sons .
   Google Scholar
• Hempel , C. , Hartman , K. , Wang , X. , Turrigiano , G. and Nelson , S. 2000 . Multiple Forms of Short-term Plasticity at Excitatory in Rat Medial Prefrontal Cortex . Journal of Neurophysiology , 83 : 3031 – 3041 .
   PubMed Web of Science ®Google Scholar
• Henderson , J. 1994 . Connectionist Syntactic Parsing Using Temporal Variable Binding . Journal of Psycholinguistic Research , 23 ( 5 ) : 353 – 379 .
   Web of Science ®Google Scholar
• Hodgkin , A. and Huxley , A. 1952 . A Quantitative Description of Membrane Current and Its Application to Conduction and Excitation in Nerve . Journal of Physiology , 117 : 500 – 544 .
   PubMed Web of Science ®Google Scholar
• Hofstadter , D. 1979 . Godel, Escher and Bach: An Eternal Golden Braid , New York : Basic Books .
   Google Scholar
• Hopcroft , J. and Ullman , J. 1979 . Introduction to Automata Theory, Languages and Computation , Reading , MA : Addison-Wesley .
   Google Scholar
• Hopfield , J. 1982 . Neural Nets and Physical Systems with Emergent Collective Computational Abilities . Proceedings of the National Academy of Sciences USA , 79 : 2554 – 2558 .
   PubMed Web of Science ®Google Scholar
• Huyck , C. 2004 . Overlapping Cell Assemblies From Correlators . Neurocomputing , 56 : 435 – 439 .
   Web of Science ®Google Scholar
• Huyck , C. 2007 . Creating Hierarchical Categories Using Cell Assemblies . Connection Science , 19 ( 1 ) : 1 – 24 .
   Web of Science ®Google Scholar
• Huyck , C. 2008 . Cabot1: A Videogame Agent Implemented in fLIF Neurons . IEEE Systems, Man and Cybernetics Society , : 115 – 120 .
   Google Scholar
• Huyck , C. 2009 . A Psycholinguistic Model of Natural Language Parsing Implemented in Simulated Neurons . Cognitive Neurodynamics , : 1 – 14 . DOI: 10.1007/s11571-009-9080.6
   Google Scholar
• Huyck , C. and Belavkin , R. 2006 . Counting With Neurons: Rule Application With Nets of Fatiguing Leaky Integrate and Fire Neurons . Proceedings of the Seventh International Conference on Cognitive Modelling , : 142 – 147 .
   Google Scholar
• Huyck , C. and Bowles , R. 2004 . Spontaneous Neural Firing in Biological and Artificial Neural Systems . Journal of Cognitive Systems , 6 ( 1 ) : 31 – 40 .
   Google Scholar
• Huyck , C. and Fan , Y. 2007 . Parsing With fLIF Neurons’, in . IEEE Systems, Man and Cybernetics Society , : 35 – 40 .
   Google Scholar
• Jackendoff , R. 2002 . Foundations of Language: Brain, Meaning, Grammar, Evolution , Oxford , , UK : Oxford University Press .
   Google Scholar
• Kaplan , S. , Weaver , M. and French , R. 1990 . Active Symbols and Internal Models: Towards a Cognitive Connectionism . AI and Society , 4 : 51 – 71 .
   Google Scholar
• Kaplan , S. , Sontag , M. and Chown , E. 1991 . Tracing Recurrent Activity in Cognitive Elements (TRACE): A Model of Temporal Dynamics in a Cell Assembly . Connection Science , 3 : 179 – 206 .
   Google Scholar
• Klatzky , R. 1980 . Human Memory: Structures and Processes , Santa Barbara , CA : W. H. Freeman and Co .
   Google Scholar
• Knoblauch , A. and Palm , G. 2001 . Pattern Separation and Synchronization in Spiking Associative Memories and Visual Areas . Neural Networks , 14 : 763 – 780 .
   PubMed Web of Science ®Google Scholar
• Knoblauch , A. , Markert , H. and Palm , G. 2004 . An Associative Model of Cortical Language and Action Processing’, in . Proceedings of the Ninth Neural Computation and Psychology Workshop , : 79 – 83 .
   Google Scholar
• Laird , J. , Newell , A. and Rosenbloom , P. 1987 . Soar: An Architecture for General Cognition . Artificial Intelligence , 33 ( 1 )
   Web of Science ®Google Scholar
• Lansky , P. , Sanda , P. and He , J. 2006 . The Parameters of the Stochastic Leaky Integrate-and-fire Neuronal Model . Journal of Computational Neuroscience , 21 : 211 – 223 .
   PubMed Web of Science ®Google Scholar
• Lewis , R. and Vasishth , S. 2005 . An Activation-based Model of Sentence Processing as Skilled Memory Retrieval . Cognitive Science , 29 ( 3 ) : 375 – 419 .
   PubMed Web of Science ®Google Scholar
• Lindsey , R. 1988 . Can This Treatment Raise the Dead . Behavioral and Brain Sciences , 11 ( 1 ) : 41 – 42 .
   Web of Science ®Google Scholar
• Maass , W. and Bishop , C. 2001 . Pulsed Neural Networks , Cambridge , MA : MIT Press .
   Google Scholar
• Malsburg , C. V.D. 1981 . “ The Correlation Theory of Brain Function ” . Dept. of Neurobiology, Max-Planck-Institute for Biophyscial Chemistry . Technical Report
   Google Scholar
• Malsburg , C. V.D. 1986 . “ Am I Thinking Assemblies? ” . In Brain Theory , Edited by: Palm , G. and Aertsen , A. 161 – 176 . Heidelberg : Springer-Verlag .
   Google Scholar
• McCulloch , W. and Pitts , W. 1943 . A Logical Calculus of Ideas Immanent in Nervous Activity . Bulletin of Mathematical Biophysics , 5 : 115 – 133 .
   Google Scholar
• Messinger , A. , Squire , L. , Zola , S. and Albright , T. 2005 . Neural Correlates of Knowledge: Stable Representation of Stimulus Associations Across Variations in Behavioural Performance . Neuron , 48 : 359 – 371 .
   PubMed Web of Science ®Google Scholar
• Miyashita , Y. 1988 . Neuronal Correlate of Visual Associative Long-term Memory in the Primate Temporal Cortex . Nature , 335 : 817 – 820 .
   PubMed Web of Science ®Google Scholar
• Mongillo , G. , Barak , O. and Tsodyks , M. 2008 . Synaptic Theory of Working Memory . Science , 319 : 1543 – 1546 .
   PubMed Web of Science ®Google Scholar
• Newell , A. 1990 . Unified Theories of Cognition , Cambridge , MA : Harvard University Press .
   Google Scholar
• O'Neill , J. , Senior , T. , Allen , K. , Huxter , J. and Csicsvari , J. 2008 . Reactivation of Experience-dependent Cell Assembly Patterns in Hippocampus . Nature Neuroscience , 11 : 209 – 215 .
   PubMed Web of Science ®Google Scholar
• Pulvermuller , F. 1999 . Words in the Brain's Language . Behavioral and Brain Sciences , 22 : 253 – 336 .
   PubMed Web of Science ®Google Scholar
• Quillian , M. 1967 . Word Concepts: A Theory of Simulation of Some Basic Semantic Capabilities . Behavioral Science , 12 : 410 – 30 .
   PubMedGoogle Scholar
• Rumelhart , D. and McClelland , J. 1982 . An Interactive Activation Model of Context Effects in Letter Perception: Part 2. The Contextual Enhancement and Some Tests and Extensions of the Model . Psychological Review , 89 ( 1 ) : 60 – 94 .
   PubMed Web of Science ®Google Scholar
• Rumelhart , D. and McClelland , J. 1986 . Parallel Distributed Processing , Cambridge , MA : MIT Press .
   Google Scholar
• Sakai , K. and Miyashita , Y. 1991 . Neural Organization for the Long-term Memory of Paired Associates . Nature , 354 : 152 – 155 .
   PubMed Web of Science ®Google Scholar
• Schank , R. and Abelson , R. 1977 . Scripts, Plans, Goals and Understanding , Hillsdale , NJ : Lawrence Erlbaum .
   Google Scholar
• Schulz , P. and Fitzgibbons , J. 1997 . Differing Mechanisms of Expression for Short- and Long-term Potentiation . Journal of Neurophysiology , 78 : 321 – 334 .
   PubMed Web of Science ®Google Scholar
• Shannon , C. 1948 . A Mathematical Theory of Communication . Bell System Technical Journal , 27 : 379 – 423 .
   Web of Science ®Google Scholar
• Shastri , L. 2002 . A Computationally Efficient Abstraction of Long-term Potentiation . Neurocomputing , 44–46 : 33 – 41 .
   Web of Science ®Google Scholar
• Shastri , L. 2006 . Comparing the Neural Blackboard and the Temporal Synchrony Based S\MakeUppercasehruti Architectures . Behaviour and Brain Science , 29 : 84 – 86 .
   Web of Science ®Google Scholar
• Shastri , L. and Aijanagadde , V. 1993 . From Simple Associations to Systematic Reasoning: A Connectionist Representation of Rules, Variables, and Dynamic Bindings Using Temporal Synchrony . Behaviour and Brain Science , 16 : 417 – 494 .
   Web of Science ®Google Scholar
• Shieber , S. 1986 . An Introduction to Unification-Based Approaches to Grammar , Stanford , CA : Center for the Study of Language and Information .
   Google Scholar
• Siegelmann , H. and Sontag , E. 1991 . “ On the Computational Power of Neural Nets ” . SYCON . Technical Report
   Google Scholar
• Smolensky , P. 1987 . Connectionist AI, Symbolic AI, and the Brain . Artificial Intelligence Review , 1 : 95 – 109 .
   Google Scholar
• Smolensky , P. 1990 . Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems . Artificial Intelligence , 46 : 159 – 216 .
   Web of Science ®Google Scholar
• Sompolinsky , H. 1987 . The Theory of Neural Networks: The Hebb Rule and Beyond’, in . Proceedings of Heidelberg Colloquium on Glassy Dynamics , : 485 – 527 .
   Google Scholar
• Sougne , J. 2001 . Binding and Multiple Instantiation in a Distributed Network of Spiking Neurons . Connection Science , 13 : 99 – 126 .
   Web of Science ®Google Scholar
• Tecuapetla , F. , Crillo-Reid , L. , Bargas , J. and Galarraga , E. 2007 . Dopaminergic Modulation of Short-term Synaptic Plasticity at Striatal Inhibitory Synapses . Proceedings of the National Academy of Sciences USA , 104(24) : 10258 – 10263 .
   Web of Science ®Google Scholar
• Usher , M. and Donnelly , N. 1998 . Visual Synchrony Affects Binding and Segmentation in Perception . Nature , 394 : 179 – 182 .
   PubMed Web of Science ®Google Scholar
• Valiant , L. 2005 . Memorization and Association on a Realistic Neural Model . Neural Computation , 17 : 527 – 555 .
   PubMed Web of Science ®Google Scholar
• van der Velde , F. and de Kamps , M. 2006 . Neural Blackboard Architectures of Combinatorial Structures in Cognition . Behavioral and Brain Sciences , 29 : 1 – 72 .
   PubMedGoogle Scholar
• Varela , J. , Sen , K. , Gibson , J. , Abbott , L. and Nelson , S. 1997 . A Quantitative Description of Short-term Plasticity at Excitatory Synapses in Layer 2/3 of Rat Primary Visual Cortex . Journal of Neuroscience , 17 : 7926 – 7940 .
   PubMed Web of Science ®Google Scholar
• Wennekers , T. and Palm , G. 2000 . “ Cell Assemblies, Associative Memory and Temporal Structure in Brain Signals ” . In Time and the Brain: Conceptual Advances in Brain Research , Edited by: Miller , R. Vol. 2 , 251 – 274 . Amsterdam : Harwood Academic Publishers .
   Google Scholar
• White , G. , Levy , W. and Steward , O. 1988 . Evidence that Associative Interactions Between Afferents During the Induction of Long-term Potentiation Occur Within Local Dendritic Domains . Proceedings of the National Academy of Sciences USA , 85 : 2368 – 2372 .
   PubMed Web of Science ®Google Scholar
• Willshaw , D. , Buneman , O. and Longuet-Higgins , H. 1969 . Non-holographic Associative Memory . Nature , 222 : 960 – 962 .
   PubMed Web of Science ®Google Scholar
• Zucker , R. and Regehr , W. 2002 . Short-term Synaptic Plasticity . Annual Review of Physiology , 64 : 355 – 405 .
   PubMed Web of Science ®Google Scholar