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Eugene.Izhikevich{at}nsi.edu, www.nsi.edu/users/izhikevich The Neurosciences Institute, San Diego, CA, 92121, U.S.A.
desai{at}nsi.edu The Neurosciences Institute, San Diego, CA, 92121, U.S.A.
We demonstrate that the BCM learning rule follows directly from STDP when pre- and postsynaptic neurons fire uncorrelated or weakly correlated Poisson spike trains, and only nearest-neighbor spike interactions are taken into account.
This article has been cited by other articles:
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S. M. Bohte and M. C. Mozer Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity. Neural Comput., February 1, 2007; 19(2): 371 - 403. [Abstract] [Full Text] [PDF]
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P. A. Appleby and T. Elliott Stable Competitive Dynamics Emerge from Multispike Interactions in a Stochastic Model of Spike-Timing-Dependent Plasticity. Neural Comput., October 1, 2006; 18(10): 2414 - 2464. [Abstract] [Full Text] [PDF]
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 J.-P. Pfister and W. Gerstner Triplets of spikes in a model of spike timing-dependent plasticity. J. Neurosci., September 20, 2006; 26(38): 9673 - 9682. [Abstract] [Full Text] [PDF]
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P. A. Appleby and T. Elliott Synaptic and Temporal Ensemble Interpretation of Spike-Timing-Dependent Plasticity Neural Comput., November 1, 2005; 17(11): 2316 - 2336. [Abstract] [Full Text] [PDF]
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E. M. Izhikevich, J. A. Gally, and G. M. Edelman Spike-timing Dynamics of Neuronal Groups Cereb Cortex, August 1, 2004; 14(8): 933 - 944. [Abstract] [Full Text] [PDF]
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