References
- Amari S. Learning patterns and pattern sequences by self-organizing nets of threshold elements. IEEE Trans. Comput. C 1972; 21: 1197–206
- Amari S. Characteristics of sparsely encoded associative memory. Neural Networks 1989; 2: 451–7
- Amit D J, Brunel N, Tsodyks M V. Correlations of cortical Hebbian reverberations: theory versus experiment. J. Neurosci. 1994; 14: 6435–45
- Amit D J, Gutfreud H, Sompolinsky H. Spin-glass models of neural networks. Phys. Rev. A 1985; 2: 1007–18
- Bartholomeus M, Coolen A C C. Sequences of smoothly correlated patterns in neural networks with random transmission delays. Biol. Cybern. 1992; 67: 285–90
- Bauer K, Krey U. On learning and recognition of temporal sequences of correlated patterns. Z. Phys. B 1990; 79: 461–75
- Berger T W, Alger B, Thompson R F. Neuronal substrate of classical conditioning in the hippocampus. Science 1976; 192: 483–5
- Buhmann J, Schulten K. Noise-driven temporal association in neural networks. Europhys. Lett. 1987; 4: 1205–9
- Coolen A C C, Gielen C C A M. Delays in neural networks. Europhys. Lett. 1988; 7: 281–5
- Dallal N L, Meck W H. Hierarchical Structures: chunking by food type facilitates spatial memory. J. Exp. Psychol.: Animal Behavior Processes 1990; 16: 69–84
- Eichenbaum H, Buckingham J. Studies on hippocampal processing: experiment, theory and model. Neurocomputation and Learning: Foundations of Adaptive Networks, M Gabriel, J Moore. MIT Press, Cambridge, MA 1991; 171–231
- Elman J L. Finding structure in time. Cog. Sci. 1990; 14: 179–211
- Fountain S, Annau Z. Chunking, sorting and rule-learning from serial patterns of brain-stimulation reward by rats. Animal Learning Behav. 1984; 12: 265–74
- Fukushima K. A model of associative memory in the brain. Kybernetik 1973; 12: 58–63
- Griniasty M, Tsodyks M V, Amit D J. Conversion of temporal correlations between stimuli to spatial correlations between attractors. Neural Comput. 1993; 5: 1–17
- Hasselmo M E, Schnell E. Laminar selectivity of the cholinergic suppression of synaptic transmission in rat hippocampal region CA1: computational modeling and brain slice physiology. J. Neurosci. 1994; 14: 3898–914
- Heskes T M, Gielen S. Retrieval of pattern sequences at variable speeds in a neural network with delays. Neural Networks 1992; 5: 145–52
- Hirsh R. The hippocampus and contextual retrieval of information from memory. Behav. Biol. 1974; 12: 421–44
- Holmes W R, Levy W B. Insights into long-term potentiation from computational models on NMDA receptor-mediated calcium influx and intracellular calcium concentration changes. J. Neurophysiol. 1990; 63: 1148–68
- Hulse S H, Dorsky N P. Structural complexity as a determinant of serial pattern learning. Learning and Motivation 1977; 8: 488–506
- Jordan M I. Attractor dynamics and parallelism in a connectionist sequential machine. Proc. 8th Conf. Cog. Sci. Soc. Erlbaum, Hillsdale, NJ 1986; 531–46
- Kim J J, Clark R E, Thompson R F. Hippocampectomy impairs the memory of recently, but not remotely, acquired trace eyeblink conditioned-responses. Behav. Neurosci. 1995; 109: 195–203
- Kleinfeld D. Sequential state generation by model neural networks. Proc. Natl Acad. Sci. USA 1986; 83: 9469–73
- Levy W B. Associative encoding at synapses. Proc. 4th Ann. Conf. Cog. Sci. Soc. 1982, 135–6
- Levy W B. A computational approach to hippocampal function. Computational Models of Learning in Simple Neural Systems, R D Hawkins, G H Bower. Academic, New York 1989; 243–305
- Levy W B. Unification of hippocampal function via computational considerations. INNS World Congress on Neural Networks 1994; IV: 661–6, Int. Neural Network Soc
- Levy W B, Steward O. Synapses as associative memory elements in the hippocampal formation. Brain Res. 1979; 175: 233–45
- Levy W B, Steward O. Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus. Neurosci. 1983; 8: 791–7
- Levy W B, Wu X B. Controlling performance by controlling activity levels in a model of hippocampal region CA3. II: memory capacity comes at the expense of context cell firing and compressed coding. INNS World Congress on Neural Networks 1995; I: 582–6, Int. Neural Network Soc
- Levy W B, Wu X B, Baxter R A. Unification of hippocampal function via computational/encoding considerations. Int. J. Neural Sys. 6 Suppl. Proc. 3rd Workshop on Neural Networks: from Biology to High Energy Physics. 1995, 71–80
- Macuda T, Roberts W A. Further evidence for hierarchical chunking in rat spatial memory. J. Exp. Psychol.: Animal Behavior Processes 1995; 21: 20–32
- Minai A A, Levy W B. The dynamics of sparse random networks. Biol. Cybern. 1993a; 70: 177–87
- Minai A A, Levy W B. Predicting complex behavior in sparse asymmetric networks. Advances in Neural Information Processing Systems, C L Giles, et al. Morgan Kaufmann, San Mateo, CA 1993b; 556–63
- Minai A A, Levy W B. Sequence learning in a single trial. INNS World Congress on Neural Networks 1993c; II: 505–8, Int. Neural Network Soc
- Minai A A, Levy W B. Setting the activity level in sparse random networks. Neural Comput. 1994; 6: 85–99
- Minai A, Barrows G, Levy W B. Disambiguation of pattern sequences with recurrent networks. INNS World Congress on Neural Networks 1994; IV: 176–81, Int. Neural Network Soc
- Mozer M C. A focused back propagation algorithm for temporal pattern recognition. Complex Sys. 1989; 3: 349–81
- O'Keefe J, Nadel L. The Hippocampus as a Cognitive Map. OUP, Oxford 1978
- O'Reilly R C, McClelland J L. Hippocampal conjunctive encoding, storage and recall: avoiding a tradeoff. Hippocampus 1994; 4: 661–82
- Prepscius C, Levy W B. Sequence prediction and cognitive mapping by a biologically plausible neural network. INNS World Congress on Neural Networks 1994; IV: 164–9, Int. Neural Network Soc
- Reiss M, Taylor J G. Storing temporal sequences. Neural Networks 1991; 4: 773–87
- Sompolinsky H, Kanter I. Temporal association in asymmetric neural networks. Phys. Rev. Lett. 1986; 57: 2861–4
- Sutton J P, Hobson J A. State-dependent sequencing and learning. Computation in Neurons and Neural Systems, F H Eeckman. Kluwer, Norwell, MA 1994; 275–80
- Thompson L T, Best P J. Place cells and silent cells in the hippocampus of freely-behaving rats. J. Neurosci. 1989; 9: 2382–90
- Treves A, Rolls E T. What determines the capacity of autoassociative memories in the brain?. Network 1991; 2: 371–97
- Wun X B, Levy W B. Controlling performance by controlling activity levels in a model of hippocampal region CA3. I: overcoming the effect of noise by adjusting network excitability parameters. INNS World Congress on Neural Networks 1995; I: 577–81, Int. Neural Network Soc
- Wun X B, Baxter R A, Levy W B. Context codes and the effect of noisy learning on a simplified hippocampal CA3 model. Biol. Cybern. 1996; 74: 159–65