Abeles M. (1994). Firing rates and well-timed events in the cerebral cortex Models of neural networks Physics of Neural Network series. 2
Cannon RC, Hasselmo ME, Koene RA. (2003). From biophysics to behavior: Catacomb2 and the design of biologically-plausible models for spatial navigation. Neuroinformatics. 1 [PubMed]
Diederich J. (1991). Steps towards knowledge-intensive connectionist learning Advances in connectionist and neural computation theory. 1
Diesmann M, Gewaltig MO, Aertsen A. (1999). Stable propagation of synchronous spiking in cortical neural networks. Nature. 402 [PubMed]
Feldman J, Bailey D. (2000). Layered hybrid connectionist models for cognitive science Hybrid neural systems. Lecture notes in computer science. 1778
Feldman JA. (1982). Dynamic connections in neural networks. Biological cybernetics. 46 [PubMed]
Gerstner W. (1999). Spiking neurons Pulsed Neural Networks.
Günay C, Maida A. (2001). The required measures of phase segregation in distributed cortical processing Proceedings of the International Joint Conference on Neural Networks Washington DC. 1
Günay C, Maida A. (2003). Using temporal binding for robust connectionist recruitment learning over delayed lines Technical Report TR-2003-2-1, Center for Advanced Computer Studies.
Jensen O, Lisman JE. (1996). Novel lists of 7 +/- 2 known items can be reliably stored in an oscillatory short-term memory network: interaction with long-term memory. Learning & memory (Cold Spring Harbor, N.Y.). 3 [PubMed]
Knoblauch A, Palm G. (2001). Pattern separation and synchronization in spiking associative memories and visual areas. Neural networks : the official journal of the International Neural Network Society. 14 [PubMed]
Koch C, Rapp M, Segev I. (1996). A brief history of time (constants). Cerebral cortex (New York, N.Y. : 1991). 6 [PubMed]
Lamme VA, Roelfsema PR. (2000). The distinct modes of vision offered by feedforward and recurrent processing. Trends in neurosciences. 23 [PubMed]
Lisman JE, Idiart MA. (1995). Storage of 7 +/- 2 short-term memories in oscillatory subcycles. Science (New York, N.Y.). 267 [PubMed]
Schillen TB, König P. (1994). Binding by temporal structure in multiple feature domains of an oscillatory neuronal network. Biological cybernetics. 70 [PubMed]
Schneider W, Shiffrin RM. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory Psychological review. 84
Senn W, Schneider M, Ruf B. (2002). Activity-dependent development of axonal and dendritic delays, or, why synaptic transmission should be unreliable. Neural computation. 14 [PubMed]
Shastri L. (2001). Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation Emergent neural computational architectures based on neuroscience Lecture notes in computer science. 2036
Shastri L, Ajjanagadde V. (1993). From simple associations to systematic reasoning: a connectionist representation of rules, variables, and dynamic bindings using temporal synchrony Behavioral and Brain Sciences. 16(3)
Singer W, Gray CM. (1995). Visual feature integration and the temporal correlation hypothesis. Annual review of neuroscience. 18 [PubMed]
Soto R, O'Reilly RC, Busby RS. (2003). Three forms of binding and their neural substrates: alternatives to temporal synchrony The unity of consciousness: Binding, integration and dissociation.
Terman D, Wang DL. (1995). Global competition and local cooperation in a network of neural oscillators Physica D. 81
Treisman A. (1996). The binding problem. Current opinion in neurobiology. 6 [PubMed]
Valiant LG. (1994). Circuits of the mind.
Wickelgren WA. (1979). Chunking and consolidation: a theoretical synthesis of semantic networks. Configuring in conditioning, S- R versus cognitive learning, normal forgetting, the amnestic syndrome, and the hippocampal arousal system Psychological Review. 86
von der Malsburg C. (1995). Binding in models of perception and brain function. Current opinion in neurobiology. 5 [PubMed]