Romani S, Amit DJ, Mongillo G. (2006). Mean-field analysis of selective persistent activity in presence of short-term synaptic depression. Journal of computational neuroscience. 20 [PubMed]

See more from authors: Romani S · Amit DJ · Mongillo G

References and models cited by this paper

Abbott LF, Varela JA, Sen K, Nelson SB. (1997). Synaptic depression and cortical gain control. Science (New York, N.Y.). 275 [PubMed]

Amit DJ, Brunel N. (1997). Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cerebral cortex (New York, N.Y. : 1991). 7 [PubMed]

Amit DJ, Brunel N. (1998). Dynamics of a recurrent network of spiking neurons before and following learning. Network. 8

Brunel N, Hakim V. (1999). Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural computation. 11 [PubMed]

Brunel N, Sergi S. (1998). Firing frequency of leaky intergrate-and-fire neurons with synaptic current dynamics. Journal of theoretical biology. 195 [PubMed]

Brunel N, Wang XJ. (2001). Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. Journal of computational neuroscience. 11 [PubMed]

Compte A, Brunel N, Goldman-Rakic PS, Wang XJ. (2000). Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cerebral cortex (New York, N.Y. : 1991). 10 [PubMed]

Compte A et al. (2003). Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task. Journal of neurophysiology. 90 [PubMed]

Cox D, Miller HD. (1977). The Theory of stochastic processes.

Fusi S, Annunziato M, Badoni D, Salamon A, Amit DJ. (2000). Spike-driven synaptic plasticity: theory, simulation, VLSI implementation. Neural computation. 12 [PubMed]

Galarreta M, Hestrin S. (1998). Frequency-dependent synaptic depression and the balance of excitation and inhibition in the neocortex. Nature neuroscience. 1 [PubMed]

Kistler WM, van Hemmen JL. (1999). Short-term synaptic plasticity and network behavior. Neural computation. 11 [PubMed]

Loebel A, Tsodyks M. (2002). Computation by ensemble synchronization in recurrent networks with synaptic depression. Journal of computational neuroscience. 13 [PubMed]

Markram H, Wang Y, Tsodyks M. (1998). Differential signaling via the same axon of neocortical pyramidal neurons. Proceedings of the National Academy of Sciences of the United States of America. 95 [PubMed]

Patie P. (2004). On some First Passage Time Problems Motivated by Financial Applications PhD thesis.

Rao SC, Rainer G, Miller EK. (1997). Integration of what and where in the primate prefrontal cortex. Science (New York, N.Y.). 276 [PubMed]

Tsodyks M, Pawelzik K, Markram H. (1998). Neural networks with dynamic synapses. Neural computation. 10 [PubMed]

Tsodyks M, Uziel A, Markram H. (2000). Synchrony generation in recurrent networks with frequency-dependent synapses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 20 [PubMed]

Tsodyks MV, Amit DJ. (1991). Quantitative study of attractor neural network retrieving at low spike rates I Substrate-spikes, rates, and neuronal gain. Network. 2

Tsodyks MV, Amit DJ. (1991). Quantitative study of attractor neural networks retrieving at low spike rates. II: Low-rate retrieval in symmetric networks Network. 2

Tsodyks MV, Markram H. (1997). The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proceedings of the National Academy of Sciences of the United States of America. 94 [PubMed]

Tuckwell HC. (1988). Introduction To Theoretical Neurobiology: Vol 1, Linear Cable Theory And Dendritic Structure. 1

Varela JA, Song S, Turrigiano GG, Nelson SB. (1999). Differential depression at excitatory and inhibitory synapses in visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 19 [PubMed]

Wang X-J, Brunel N, Renart A. (2003). Mean-field theory of recurrent cortical networks: from irregularly spiking neurons to working memory Computational neuroscience: a comprehensive approach.

Wang XJ. (1999). Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory. The Journal of neuroscience : the official journal of the Society for Neuroscience. 19 [PubMed]

van Vreeswijk C, Sompolinsky H. (1996). Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science (New York, N.Y.). 274 [PubMed]

References and models that cite this paper

Barak O, Tsodyks M. (2007). Persistent activity in neural networks with dynamic synapses. PLoS computational biology. 3 [PubMed]

Torres JJ, Cortes JM, Marro J, Kappen HJ. (2007). Competition between synaptic depression and facilitation in attractor neural networks. Neural computation. 19 [PubMed]

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