Abeles M. (1982). Local Cortical Circuits: An Electrophysiological Study.
Abeles M. (1991). Corticonics: Neural Circuits of the Cerebral Cortex..
Abeles M, Prut Y, Bergman H, Vaadia E. (1994). Synchronization in neuronal transmission and its importance for information processing. Progress in brain research. 102 [PubMed]
Aertsen A, Diesmann M, Gewaltig MO. (1996). Propagation of synchronous spiking activity in feedforward neural networks. Journal of physiology, Paris. 90 [PubMed]
Arnoldi HM, Brauer W. (1996). Synchronization without oscillatory neurons. Biological cybernetics. 74 [PubMed]
Barlow H. (1995). The neuron doctrine in perception. The Cognitive Neurosciences..
Bienenstock E. (1991). Notes on the growth of a composition machine Proceedings of the First Interdisciplinary Workshop on Compositionality in Cognition and Neural Networks.
Bienenstock E. (1992). Suggestions for a Neurobiological Approach to Syntax Private Communication.
Bienenstock E. (1995). A model of nerocortex Comput Neural Syst. 6
Bienenstock E. (1996). Compostion Brain Theory: Biological Basis and Computational Theory of Vision.
Bienenstock E, Geman S. (1994). Compostionality The Handbookof Brain Theory and Neural Networks.
Bienenstock E, Geman S. (1997). Compositionality, mdl priors, and object recognition Advances in Neural Information Processing Systems. 9
Braitenberg V. (1986). Two views of the cerebral cortex Brain Theory.
Carreiro LR, Haddad H, Baldo MV. (2003). The modulation of simple reaction time by the spatial probability of a visual stimulus. Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas. 36 [PubMed]
Cohen A, Shoup R. (2000). Response selection processes for conjunctive targets. Journal of experimental psychology. Human perception and performance. 26 [PubMed]
Damasio AR. (1989). Time-locked multiregional retroactivation: a systems-level proposal for the neural substrates of recall and recognition. Cognition. 33 [PubMed]
Dickinson SJ, Pentland AP, Rosenfeld A. (1992). From volumes to views: An approach to 3-d object recognition Image Understanding. 55
Diesmann M, Aertsen A, Gewaltig MO. (1996). Characterization of synfire activity by propagating pulse packets Advances in computational Neuroscience.
Diesmann M, Gewaltig MO, Aertsen A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature. 402 [PubMed]
Doursat R. (1991). Contribution a loetude des representations dans le systeme nerveux et dans les reseaux de neurones formels PhD Thesis. 6
Eckhorn R et al. (1988). Coherent oscillations: a mechanism of feature linking in the visual cortex? Multiple electrode and correlation analyses in the cat. Biological cybernetics. 60 [PubMed]
Ellis W. (1938). A Source Book of Gesstalt Psychology.
Felleman DJ, Van_essen DC, De_yoe EA, Olavarria J, Knierim J. (1991). Modular and hierarchical organization of extrastriate visual cortex in macaque monkey Cold Spring Harbor Symposiom of Quantitative Biology. 55
Geman S, Potter DF, Chi Z. (1998). Composition systems Division of Applied Mathematics.
Gray CM. (1999). The temporal correlation hypothesis of visual feature integration: still alive and well. Neuron. 24 [PubMed]
Gray CM, Singer W. (1989). Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 86 [PubMed]
Hayon G. (2004). Modeling compositionality in biological neural networks by dynamic binding of synfire chains PhD Thesis.
Hebb DO. (1949). The Organization Of Behavior.
Herrmann M, Prugel-bennett A, Hertz J. (1995). Analysis of synfire chains Computation In Neural Systems. 6
Hertz J, Krogh A, Palmer RG. (1991). Introduction to the Theory of Neural Computation..
Horn D, Opher I. (1996). The importance of noise for segmentation and binding in dynamical neural systems. International journal of neural systems. 7 [PubMed]
Hummel JE. (2001). Complementary solution to the binding problem in vision: Implications for shape perception and object recognition Vis Cogniti. 8
Hummel JE, Biederman I. (1992). Dynamic binding in a neural network for shape recognition. Psychological review. 99 [PubMed]
Hummel JE, Stankiewicz BJ. (1996). An architecture for rapid hierarchical structural description nformation Integration in Perception and Communication vol. XVI ofAttention and Performance.
Litvak V, Sompolinsky H, Segev I, Abeles M. (2003). On the transmission of rate code in long feedforward networks with excitatory-inhibitory balance. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]
Maass W. (1997). Fast sigmoidal networks via spiking neurons. Neural computation. 9 [PubMed]
Maass W, Natschlager T. (1997). Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal coding Network: Computation In Neural Systems. 8
Postma EO, van den Herik HJ, Hudson PT. (1996). Robust feedforward processing in synfire chains. International journal of neural systems. 7 [PubMed]
Potter DF. (1999). Compositional Pattern Recognition PhD Thesis.
Prugel-bennett A, Hertz J. (1995). Learning short synfire chains by self-organization Network: Computation in Neural Systems.
Prut Y et al. (1993). Dynamics of neural interaction in the frontal cortex of behaving monkeys Concepts Neuroscience. 4
Prut Y et al. (1998). Spatiotemporal structure of cortical activity: properties and behavioral relevance. Journal of neurophysiology. 79 [PubMed]
Reynolds JH, Desimone R. (1999). The role of neural mechanisms of attention in solving the binding problem. Neuron. 24 [PubMed]
Riesenhuber M, Poggio T. (1999). Are cortical models really bound by the "binding problem"? Neuron. 24 [PubMed]
Rissanen J. (1989). Stochastic Complexity Statistical Inquiry.
Roskies AL. (1999). The binding problem. Neuron. 24 [PubMed]
Ruppin E, Meilijson I, Horn D, Levy N. (1999). Distributed synchronyof spiking neurons in a hebbian cell assembly NIPS99.
Shadlen MN, Movshon JA. (1999). Synchrony unbound: a critical evaluation of the temporal binding hypothesis. Neuron. 24 [PubMed]
Shadlen MN, Newsome WT. (1998). The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]
Shastri L, Ajjanagadde V. (1993). From simple associations to systematicreasoning: A connectionist representation of rules, variablesand dynamic binding using temporal synchrony Behav Brain Sci. 16
Singer W. (1999). Neuronal synchrony: a versatile code for the definition of relations? Neuron. 24 [PubMed]
Sougne JP, French RM. (2001). Synfire chains and catastrophic interference Proceedings of the 23rd Annual Conferences of the Cognitive Science Society.
Sterratt DC. (1999). Is a biological temporal learning rule compatiblewith learning synfire chains? Proceedings of ICANN 99.
Treisman A. (1996). The binding problem. Current opinion in neurobiology. 6 [PubMed]
Treisman A. (1999). Solutions to the binding problem: progress through controversy and convergence. Neuron. 24 [PubMed]
Ullman S. (1989). Aligning pictorial descriptions: an approach to object recognition. Cognition. 32 [PubMed]
Ullman S. (1996). High-Level Vision.
Usher M, Sagi D, Horn D. (1991). Segmentation, binding and illusory conjunctions Neural Comput. 3
Villa AE, Tetko IV, Hyland B, Najem A. (1999). Spatiotemporal activity patterns of rat cortical neurons predict responses in a conditioned task. Proceedings of the National Academy of Sciences of the United States of America. 96 [PubMed]
Von_der_malsburg C. (1981). The Correlation Theory of Brain Function Technical (Internal) Report. 81
Von_der_malsburg C. (1987). Synaptic plasticity as basis of brain organization The Neural andMolecular Bases of Learning.
Von_der_malsburg C, Triesch J. (1996). Binding, proposed experimentand a model roceedings of the International Conferenceon Artificial Neural Networks.
Wong KYM. (1997). Exact dynamics in feedforward neural networks Europhys Lett. 38
Zucker RS. (1989). Short-term synaptic plasticity. Annual review of neuroscience. 12 [PubMed]
von der Malsburg C. (1995). Binding in models of perception and brain function. Current opinion in neurobiology. 5 [PubMed]
von der Malsburg C. (1999). The what and why of binding: the modeler's perspective. Neuron. 24 [PubMed]
von der Malsburg C, Wiskott L. (1996). Recognizing faces by dynamiclink matching Proceedings of the International Conference on Artificial Neural Networks.
Hayon G, Abeles M, Lehmann D. (2005). A model for representing the dynamics of a system of synfire chains. Journal of computational neuroscience. 18 [PubMed]
Steuber V, Jaeger D. (2013). Modeling the generation of output by the cerebellar nuclei. Neural networks : the official journal of the International Neural Network Society. 47 [PubMed]