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Network: Computation in Neural Systems Volume 3, 1992 - Issue 2
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Original Article

Effective neurons and attractor neural networks in cortical environment

Daniel J Amit Racah Institute of Physics, Hebrew University, Jerusalem, Israel; INFN, Sezione di Roma, Universitá ‘La Sapienza’, Piazzale Aldo Moro 2, 1-00185, Roma, Italy, Present address
&
M V Tsodyks Racah Institute of Physics, Hebrew University, Jerusalem, Israel
Pages 121-137 | Received 14 Oct 1991, Published online: 09 Jul 2009

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Nicolas Brunel. (2008) Daniel Amit (1938–2007). Network: Computation in Neural Systems 19:1, pages 3-8.
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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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Daniel J Amit & Nicolas Brunel. (1995) Learning internal representations in an attractor neural network with analogue neurons. Network: Computation in Neural Systems 6:3, pages 359-388.
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M V Tsodyks & T Sejnowski. (1995) Rapid state switching in balanced cortical network models. Network: Computation in Neural Systems 6:2, pages 111-124.
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Aref Pariz, Zahra G. Esfahani, Shervin S. Parsi, Alireza Valizadeh, Santiago Canals & Claudio R. Mirasso. (2018) High frequency neurons determine effective connectivity in neuronal networks. NeuroImage 166, pages 349-359.
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Heather L. Dean, Daniel Martí, Eva Tsui, John Rinzel & Bijan Pesaran. (2011) Reaction Time Correlations during Eye–Hand Coordination: Behavior and Modeling. The Journal of Neuroscience 31:7, pages 2399-2412.
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ROMAN R. POZNANSKI & JORGE J. RIERA. (2006) fMRI MODELS OF DENDRITIC AND ASTROCYTIC NETWORKS. Journal of Integrative Neuroscience 05:02, pages 273-326.
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M. Giugliano & M. Arsiero. 2006. Wiley Encyclopedia of Biomedical Engineering. Wiley Encyclopedia of Biomedical Engineering.
Martin Stetter. (2006) Dynamic functional tuning of nonlinear cortical networks. Physical Review E 73:3.
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Hiroaki WagatsumaYoko Yamaguchi. (2004) Cognitive Map Formation Through Sequence Encoding by Theta Phase Precession. Neural Computation 16:12, pages 2665-2697.
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Giancarlo La CameraAlexander RauchHans-R. LüscherWalter SennStefano Fusi. (2004) Minimal Models of Adapted Neuronal Response to In Vivo –Like Input Currents . Neural Computation 16:10, pages 2101-2124.
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M. Giugliano, P. Darbon, M. Arsiero, H.-R. Lüscher & J. Streit. (2004) Single-Neuron Discharge Properties and Network Activity in Dissociated Cultures of Neocortex. Journal of Neurophysiology 92:2, pages 977-996.
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Alexander Rauch, Giancarlo La Camera, Hans-Rudolf Lüscher, Walter Senn & Stefano Fusi. (2003) Neocortical Pyramidal Cells Respond as Integrate-and-Fire Neurons to In Vivo–Like Input Currents. Journal of Neurophysiology 90:3, pages 1598-1612.
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Maurizio Mattia & Paolo Del Giudice. (2000) Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses. Neural Computation 12:10, pages 2305-2329.
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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. (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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Friedemann Pulvermüller & Hubert Preissl. (2010) Local or transcortical assemblies? Some evidence from cognitive neuroscience. Behavioral and Brain Sciences 18:4, pages 640-641.
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Jean Petitot. (2010) The problems of cognitive dynamical models. Behavioral and Brain Sciences 18:4, pages 640-640.
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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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Daniel Amit†Nicolas Brunel. (1995) Learning internal representations in an attractor neural network with analogue neurons. Network: Computation in Neural Systems 6:3, pages 359-388.
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M Tsodyks & T Sejnowski. (1995) Rapid state switching in balanced cortical network models. Network: Computation in Neural Systems 6:2, pages 111-124.
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L. F. Abbott. (2009) Decoding neuronal firing and modelling neural networks. Quarterly Reviews of Biophysics 27:3, pages 291-331.
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