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Network: Computation in Neural Systems Volume 4, 1993 - Issue 4
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Review Article

Informational characteristics of neural networks capable of associative learning based on Hebbian plasticity

A A Frolov Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Science, 5a Builerov Street, Moscow, 117485, Russia
&
I P Murav'ev Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Science, 5a Builerov Street, Moscow, 117485, Russia
Pages 495-536 | Received 15 Apr 1991, Published online: 09 Jul 2009

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Bruce Graham & David Willshaw. (1997) Capacity and information efficiency of the associative net. Network: Computation in Neural Systems 8:1, pages 35-54.
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A Frolov, A Kartashov, A Goltsev & R Folk. (1995) Quality and efficiency of retrieval for Willshaw-like autoassociative networks. II. Recognition. Network: Computation in Neural Systems 6:4, pages 535-549.
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A Frolov, A Kartashov, A Goltsev & R Folk. (1995) Quality and efficiency of retrieval for Willshaw-like autoassociative networks. I. Correction. Network: Computation in Neural Systems 6:4, pages 513-534.
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Paul Bogdan, Gustavo Caetano-Anollés, Anna Jolles, Hyunju Kim, James Morris, Cheryl A Murphy, Catherine Royer, Edward H Snell, Adam Steinbrenner & Nicholas Strausfeld. (2021) Biological Networks across Scales—The Theoretical and Empirical Foundations for Time-Varying Complex Networks that Connect Structure and Function across Levels of Biological Organization. Integrative and Comparative Biology 61:6, pages 1991-2010.
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Yakov Kazanovich & Roman Borisyuk. (2021) A computational model of familiarity detection for natural pictures, abstract images, and random patterns: Combination of deep learning and anti-Hebbian training. Neural Networks 143, pages 628-637.
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Ya. B. Kazanovich. (2020) A Neural Network Model of the Recognition of the Familiarity of Number Sequences. Neuroscience and Behavioral Physiology 51:1, pages 65-72.
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Volodymyr GRITSENKO, A. RACHKOVSKIJ, A. FROLOV, R. GAYLER, D. KLEYKO & E. OSIPOV. (2017) Neural Autoassociative Memories for Binary Vectors: A Survey. Kibernetika i vyčislitelʹnaâ tehnika 2017:2(188), pages 5-35.
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Dmitri A. Rachkovskij, Ernst M. Kussul & Tatiana N. Baidyk. (2013) Building a world model with structure-sensitive sparse binary distributed representations. Biologically Inspired Cognitive Architectures 3, pages 64-86.
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Federico Stella, Erika Cerasti, Bailu Si, Karel Jezek & Alessandro Treves. (2012) Self-organization of multiple spatial and context memories in the hippocampus. Neuroscience & Biobehavioral Reviews 36:7, pages 1609-1625.
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CHRISTOPHER JOHANSSON, ÖRJAN EKEBERG & ANDERS LANSNER. (2011) CLUSTERING OF STORED MEMORIES IN AN ATTRACTOR NETWORK WITH LOCAL COMPETITION. International Journal of Neural Systems 16:06, pages 393-403.
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Alexander A. Frolov, Dusan Husek & Igor P. Muraviev. (1997) Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation. Neural Networks 10:5, pages 845-855.
Crossref
Bruce Graham & David Willshaw. (1997) Capacity and information efficiency of the associative net. Network: Computation in Neural Systems 8:1, pages 35-54.
Crossref
A Frolov, A Kartashov, A Goltsev & R Folk. (1995) Quality and efficiency of retrieval for Willshaw-like autoassociative networks. II. Recognition. Network: Computation in Neural Systems 6:4, pages 535-549.
Crossref
A Frolov, A Kartashov, A Goltsev & R Folk. (1995) Quality and efficiency of retrieval for Willshaw-like autoassociative networks. I. Correction. Network: Computation in Neural Systems 6:4, pages 513-534.
Crossref

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