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Network: Computation in Neural Systems Volume 1, 1990 - Issue 4
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Original Article

Attractor neural networks with biological probe records

Daniel J Amit Racah Institute of Physics, Hebrew University, Jerusalem, Israel
,
M R Evans Racah Institute of Physics, Hebrew University, Jerusalem, Israel
&
M Abeles Department of Physiology, School of Medicine, Hebrew University, Jerusalem, Israel
Pages 381-405 | Received 17 Aug 1990, 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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Nicolas Brunel. (2000) Persistent activity and the single-cell frequency–current curve in a cortical network model. Network: Computation in Neural Systems 11:4, pages 261-280.
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Erik Fransén & Anders Lansner. (1998) A model of cortical associative memory based on a horizontal network of connected columns. Network: Computation in Neural Systems 9:2, pages 235-264.
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Martin W Simmen, Alessandro Treves & Edmund T Rolls. (1996) Pattern retrieval in threshold-linear associative nets. Network: Computation in Neural Systems 7:1, pages 109-122.
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Erik Fransén & Anders Lansner. (1995) Low spiking rates in a population of mutually exciting pyramidal cells. Network: Computation in Neural Systems 6:2, pages 271-288.
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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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Anthony N Burkitt. (1994) Attractor neural networks with excitatory neurons and fast inhibitory interneurons at low spike rates. Network: Computation in Neural Systems 5:4, pages 437-448.
Read now
J J Wright & D T J Liley. (1994) A millimetric-scale simulation of electrocortical wave dynamics based on anatomical estimates of cortical synaptic density. Network: Computation in Neural Systems 5:2, pages 191-202.
Read now
Y Metzger & D Lehmann. (1994) Learning temporal sequences by excitatory synaptic changes only. Network: Computation in Neural Systems 5:1, pages 89-99.
Read now
J Deppisch, H-U Bauer, T Schillen, P Konig, K Pawelzik & T Geisel. (1993) Alternating oscillatory and stochastic states in a network of spiking neurons. Network: Computation in Neural Systems 4:3, pages 243-257.
Read now
J J Wright & R R Kydd. (1992) The electroencephalogram and cortical neural networks. Network: Computation in Neural Systems 3:3, pages 341-362.
Read now
Guido Bugmann. (1991) Summation and multiplication: two distinct operation domains of leaky integrate-and-fire neurons. Network: Computation in Neural Systems 2:4, pages 489-509.
Read now
L F Abbott. (1991) Realistic synaptic inputs for model neural networks. Network: Computation in Neural Systems 2:3, pages 245-258.
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Articles from other publishers (42)

Michael E. Hasselmo. 2013. 20 Years of Computational Neuroscience. 20 Years of Computational Neuroscience 207 227 .
Nicolas Brunel. (2000) Persistent activity and the single-cell frequency–current curve in a cortical network model. Network: Computation in Neural Systems 11:4, pages 261-280.
Crossref
Xiao-Jing Wang. (1999) Synaptic Basis of Cortical Persistent Activity: the Importance of NMDA Receptors to Working Memory. The Journal of Neuroscience 19:21, pages 9587-9603.
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Erik Fransén & Anders Lansner. (1998) A model of cortical associative memory based on a horizontal network of connected columns. Network: Computation in Neural Systems 9:2, pages 235-264.
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J. J. Wright & D. T. J. Liley. (2010) Multiscale modeling of brain dynamics depends upon approximations at each scale. Behavioral and Brain Sciences 19:2, pages 310-320.
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M. N. Zhadin. (2010) Rhythmicity in the EEG and global stabilization of the average level of excitation in the cerebral cortex. Behavioral and Brain Sciences 19:2, pages 309-310.
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Ichiro Tsuda. (2010) The form of chaos in the noisy brain can manifest function. Behavioral and Brain Sciences 19:2, pages 309-309.
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Walter S. Pritchard. (2010) The EEG data indicate stochastic nonlinearity . Behavioral and Brain Sciences 19:2, pages 308-308.
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Hubert Preissl, Werner Lutzenberger & Friedemann Pulvermüller. (2010) Is there chaos in the brain?. Behavioral and Brain Sciences 19:2, pages 307-308.
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Andrew Oliver. (2010) Dynamics of the brain — from the statistical properties of neural signals to the development of representations. Behavioral and Brain Sciences 19:2, pages 306-307.
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Paul L. Nunez. (2010) Multiscale neocortical dynamics, experimental EEG measures, and global facilitation of local cell assemblies. Behavioral and Brain Sciences 19:2, pages 305-306.
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Márk Molnár. (2010) Chaos in induced rhythms of the brain – the value of ERP studies. Behavioral and Brain Sciences 19:2, pages 305-305.
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Robert Miller. (2010) Empirical data base for simulation: Firing rates and axonal conduction velocity for cortical neurones. Behavioral and Brain Sciences 19:2, pages 304-305.
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Hans Liljenström. (2010) Neuromodulation can significantly change the dynamical state of cortical networks. Behavioral and Brain Sciences 19:2, pages 303-304.
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Zbigniew J. Kowalik, Andrzej Wrobel & Andrzej Rydz. (2010) Why does the human brain need to be a nonlinear system?. Behavioral and Brain Sciences 19:2, pages 302-303.
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Edgar Koerner. (2010) Comparative reduction of theories — or over-simplification?. Behavioral and Brain Sciences 19:2, pages 301-302.
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Lester Ingber. (2010) Nonlinear nonequilibrium nonquantum nonchaotic statistical mechanics of neocortical interactions. Behavioral and Brain Sciences 19:2, pages 300-301.
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Valerie Gray Hardcastle. (2010) Modeling for modeling's sake?. Behavioral and Brain Sciences 19:2, pages 299-299.
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Walter J. Freeman. (2010) Neural system stability. Behavioral and Brain Sciences 19:2, pages 298-299.
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Harry R. Erwin. (2010) Multiscale modeling of the brain should be validated in more detail against the biological data. Behavioral and Brain Sciences 19:2, pages 297-298.
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Péter Érdi. (2010) Levels, models, and brain activities: Neurodynamics is pluralistic. Behavioral and Brain Sciences 19:2, pages 296-297.
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Theodore H. Bullock. (2010) Is the distribution of coherence a test of the model?. Behavioral and Brain Sciences 19:2, pages 296-296.
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Daniel J. Amit. (2010) Is the time ripe for integration of scales?. Behavioral and Brain Sciences 19:2, pages 295-296.
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J. J. Wright & D. T. J. Liley. (2010) Dynamics of the brain at global and microscopic scales: Neural networks and the EEG. Behavioral and Brain Sciences 19:2, pages 285-295.
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Martin W Simmen, Alessandro Treves & Edmund T Rolls. (1996) Network: Computation in Neural Systems 7:1, pages 109-122.
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Fran�ois Chapeau-Blondeau. (1995) Information processing in neural networks by means of controlled dynamic regimes. Acta Biotheoretica 43:1-2, pages 155-167.
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Erik Fransén & Anders Lansner. (1995) Low spiking rates in a population of mutually exciting pyramidal cells. Network: Computation in Neural Systems 6:2, pages 271-288.
Crossref
M Tsodyks & T Sejnowski. (1995) Rapid state switching in balanced cortical network models. Network: Computation in Neural Systems 6:2, pages 111-124.
Crossref
J. J. Wright & D. T. J. Liley. (1995) Simulation of electrocortical waves. Biological Cybernetics 72:4, pages 347-356.
Crossref
Anthony Burkitt. (1994) Attractor neural networks with excitatory neurons and fast inhibitory interneurons at low spike rates. Network: Computation in Neural Systems 5:4, pages 437-448.
Crossref
J Wright & D Liley. (1994) A millimetric-scale simulation of electrocortical wave dynamics based on anatomical estimates of cortical synaptic density. Network: Computation in Neural Systems 5:2, pages 191-202.
Crossref
Y Metzger & D Lehmann. (1994) Learning temporal sequences by excitatory synaptic changes only. Network: Computation in Neural Systems 5:1, pages 89-99.
Crossref
J Deppisch, H-U Bauer, T Schillen, P Konig, K Pawelzik & T Geisel. (1993) Alternating oscillatory and stochastic states in a network of spiking neurons. Network: Computation in Neural Systems 4:3, pages 243-257.
Crossref
Daniel Amit & Nicolas Brunel. (1993) Adequate input for learning in attractor neural networks. Network: Computation in Neural Systems 4:2, pages 177-194.
Crossref
M. Griniasty, M. V. Tsodyks & Daniel J. Amit. (1993) Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors. Neural Computation 5:1, pages 1-17.
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J Wright & R Kydd. (1992) The electroencephalogram and cortical neural networks. Network: Computation in Neural Systems 3:3, pages 341-362.
Crossref
Wulfram Gerstner & J. Leo van Hemmen. (1992) Universality in neural networks: the importance of the ‘mean firing rate’. Biological Cybernetics 67:3, pages 195-205.
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Maciej Lewenstein & Mariusz Olko. (1992) Storage capacity of ‘‘quantum’’ neural networks. Physical Review A 45:12, pages 8938-8943.
Crossref
Daniel Amit & M Tsodyks. (1992) Effective neurons and attractor neural networks in cortical environment. Network: Computation in Neural Systems 3:2, pages 121-137.
Crossref
Guido Bugmann. (1991) Summation and multiplication: two distinct operation domains of leaky integrate-and-fire neurons. Network: Computation in Neural Systems 2:4, pages 489-509.
Crossref
Daniel Amit & M Tsodyks. (1991) Quantitative study of attractor neural networks retrieving at low spike rates: II. Low-rate retrieval in symmetric networks. Network: Computation in Neural Systems 2:3, pages 275-294.
Crossref
L Abbott. (1991) Realistic synaptic inputs for model neural networks. Network: Computation in Neural Systems 2:3, pages 245-258.
Crossref

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