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Network: Computation in Neural Systems Volume 6, 1995 - Issue 3
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Original Article

Learning internal representations in an attractor neural network with analogue neurons

Daniel J Amit INFN, Sezione di Roma, lstituto di Fisica, Università di Roma ‘La Sapienza’, Ple Aldo Moro, Roma, Italy
&
Nicolas Brunel INFN, Sezione di Roma, lstituto di Fisica, Università di Roma ‘La Sapienza’, Ple Aldo Moro, Roma, Italy
Pages 359-388 | Received 07 Nov 1994, Published online: 09 Jul 2009

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Sabine Joseph, Paul Iverson, Sanjay Manohar, Zoe Fox, Sophie K. Scott & Masud Husain. (2015) Precision of working memory for speech sounds. The Quarterly Journal of Experimental Psychology 68:10, pages 2022-2040.
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Nicolas Brunel, Francesco Carusi & Stefano Fusi. (1998) Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network. Network: Computation in Neural Systems 9:1, pages 123-152.
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Daniel J Amit & Nicolas Brunel. (1997) Dynamics of a recurrent network of spiking neurons before and following learning. Network: Computation in Neural Systems 8:4, pages 373-404.
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Nicolas Brunel, Francesco Carusi & Stefano Fusi. (1998) Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network. Network: Computation in Neural Systems 9:1, pages 123-152.
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Sohie Lee Moody, Steven P. Wise, Giuseppe di Pellegrino & David Zipser. (1998) A Model That Accounts for Activity in Primate Frontal Cortex during a Delayed Matching-to-Sample Task. The Journal of Neuroscience 18:1, pages 399-410.
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Nicolas Brunel & Olivier Trullier. (1998) Plasticity of directional place fields in a model of rodent CA3. Hippocampus 8:6, pages 651-665.
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Daniel Amit & Nicolas Brunel. (1997) Dynamics of a recurrent network of spiking neurons before and following learning. Network: Computation in Neural Systems 8:4, pages 373-404.
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Daniel J. Amit, Stefano Fusi & Volodya Yakovlev. (1997) Paradigmatic Working Memory (Attractor) Cell in IT Cortex. Neural Computation 9:5, pages 1071-1092.
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Daniel J. Amit. (2010) Empirical and theoretical active memory: The proper context. Behavioral and Brain Sciences 18:4, pages 645-657.
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J. J. Wright. (2010) How do local reverberations achieve global integration?. Behavioral and Brain Sciences 18:4, pages 644-645.
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Frank der van Velde. (2010) Association and computation with cell assemblies. Behavioral and Brain Sciences 18:4, pages 643-644.
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Josef P. Rauschecker. (2010) Reverberations of Hebbian thinking. Behavioral and Brain Sciences 18:4, pages 642-643.
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Maartje E. J. Raijmakers & Peter C. M. Molenaar. (2010) How to decide whether a neural representation is a cognitive concept?. Behavioral and Brain Sciences 18:4, pages 641-642.
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Masahiko Morita. (2010) Another ANN model for the Miyashita experiments. Behavioral and Brain Sciences 18:4, pages 639-640.
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Peter M. Milner. (2010) Attractors – don't get sucked in. Behavioral and Brain Sciences 18:4, pages 638-639.
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Anders Lansner & Erik Fransén. (2010) Distributed cell assemblies and detailed cell models. Behavioral and Brain Sciences 18:4, pages 637-638.
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David C. Krakauer & Alasdair I. Houston. (2010) An evolutionary perspective on Hebb's reverberatory representations. Behavioral and Brain Sciences 18:4, pages 636-637.
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Wolfgang Klimesch. (2010) The functional meaning of reverberations for sensoric and contextual encoding. Behavioral and Brain Sciences 18:4, pages 636-636.
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Michael Hucka, Mark Weaver & Stephen Kaplan. (2010) Hebb's accomplishments misunderstood. Behavioral and Brain Sciences 18:4, pages 635-636.
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Ralph E. Hoffman. (2010) Additional tests of Amit's attractor neural networks. Behavioral and Brain Sciences 18:4, pages 634-635.
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Morris W. Hirsch. (2010) Mathematics of Hebbian attractors. Behavioral and Brain Sciences 18:4, pages 633-634.
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Joaquin M. Fuster. (2010) Not the module does memory make – but the network. Behavioral and Brain Sciences 18:4, pages 631-633.
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Walter J. Freeman. (2010) The Hebbian paradigm reintegrated: Local reverberations as internal representations. Behavioral and Brain Sciences 18:4, pages 631-631.
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Shimon Edelman. (2010) How representation works is more important than what representations are. Behavioral and Brain Sciences 18:4, pages 630-631.
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G. J. Dalenoort & P. H. de Vries. (2010) What's in a cell assembly?. Behavioral and Brain Sciences 18:4, pages 629-630.
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Eric Chown. (2010) Reverberation reconsidered: On the path to cognitive theory. Behavioral and Brain Sciences 18:4, pages 628-629.
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Elie Bienenstock & Stuart Geman. (2010) Where the adventure is. Behavioral and Brain Sciences 18:4, pages 627-628.
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Ehud Ahissar. (2010) Are single-cell data sufficient for testing neural network models?. Behavioral and Brain Sciences 18:4, pages 626-627.
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Daniel J. Amit. (2010) The Hebbian paradigm reintegrated: Local reverberations as internal representations. Behavioral and Brain Sciences 18:4, pages 617-626.
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