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Original Article

Neural potentials as stimuli for attractor neural networks

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Pages 75-88 | Received 28 Jun 1989, Published online: 04 Aug 2009

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O Lefèvre & G Parisi. (1993) Learning and memory in spin-glass-like immune networks. Network: Computation in Neural Systems 4:1, pages 39-65.
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Alessandro Treves & Edmund T Rolls. (1991) What determines the capacity of autoassociative memories in the brain?. Network: Computation in Neural Systems 2:4, pages 371-397.
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Daniel J Amit, M R Evans & M Abeles. (1990) Attractor neural networks with biological probe records. Network: Computation in Neural Systems 1:4, pages 381-405.
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E Ruppin & M Usher. (1990) An attractor neural network model of semantic fact retrieval. Network: Computation in Neural Systems 1:3, pages 325-344.
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Y Metzger & D Lehmann. (1990) Learning temporal sequences by local synaptic changes. Network: Computation in Neural Systems 1:2, pages 169-188.
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Articles from other publishers (19)

Alfonso Renart, Néstor Parga & Edmund T. Rolls. (1999) Backward Projections in the Cerebral Cortex: Implications for Memory Storage. Neural Computation 11:6, pages 1349-1388.
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F.T. Sommer & P. Dayan. (1998) Bayesian retrieval in associative memories with storage errors. IEEE Transactions on Neural Networks 9:4, pages 705-713.
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Eytan Ruppin & James A. Reggia. (2018) A Neural Model of Memory Impairment in Diffuse Cerebral Atrophy. British Journal of Psychiatry 166:1, pages 19-28.
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D. Horn & E. Ruppin. (1995) Compensatory Mechanisms in an Attractor Neural Network Model of Schizophrenia. Neural Computation 7:1, pages 182-205.
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Sergio A. Cannas. (1995) Arithmetic Perceptrons. Neural Computation 7:1, pages 173-181.
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O Lefèvre & G Parisi. (1993) Learning and memory in spin-glass-like immune networks. Network: Computation in Neural Systems 4:1, pages 39-65.
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Anthony N. Burkitt. 1993. New Trends in Neural Computation. New Trends in Neural Computation 167 172 .
Anton Bovier & V�ronique Gayrard. (1992) Rigorous bounds on the storage capacity of the dilute Hopfield model. Journal of Statistical Physics 69:3-4, pages 597-627.
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Alessandro Treves & Edmund Rolls. (1991) What determines the capacity of autoassociative memories in the brain?. Network: Computation in Neural Systems 2:4, pages 371-397.
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G. A. Kohring. (1991) Finite-state neural networks. A step toward the simulation of very large systems. Journal of Statistical Physics 62:3-4, pages 563-576.
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A Rau, D Sherrington & K Y M Wong. (1991) External fields in attractor neural networks with different learning rules. Journal of Physics A: Mathematical and General 24:1, pages 313-326.
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Valeriu C. Beiu. 1991. Artificial Neural Networks. Artificial Neural Networks 1071 1074 .
Daniel J Amit. (1990) Attractor neural networks and biological reality: associative memory and learning. Future Generation Computer Systems 6:2, pages 111-119.
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Daniel Amit, M Evans & M Abeles. (1990) Attractor neural networks with biological probe records. Network: Computation in Neural Systems 1:4, pages 381-405.
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S Nicolis. (1990) Retrieval Properties of Neural Networks with Infinitely Many Marked Patterns. Europhysics Letters (EPL) 12:7, pages 583-587.
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Alessandro Treves. (1990) Graded-response neurons and information encodings in autoassociative memories. Physical Review A 42:4, pages 2418-2430.
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Y Metzger & D Lehmann. (1990) Learning temporal sequences by local synaptic changes. Network: Computation in Neural Systems 1:2, pages 169-188.
Crossref
Stam Nicolis. 1990. Statistical Mechanics of Neural Networks. Statistical Mechanics of Neural Networks 155 166 .
Alessandro Treves & Edmund T Rolls. 1990. Statistical Mechanics of Neural Networks. Statistical Mechanics of Neural Networks 81 95 .

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