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The Journal of Neuroscience, September 20, 2006, 26(38):9673-9682; doi:10.1523/JNEUROSCI.1425-06.2006

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Behavioral/Systems/Cognitive
Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity

Jean-Pascal Pfister and Wulfram Gerstner

Laboratory of Computational Neuroscience, School of Computer and Communication Sciences and Brain-Mind Institute, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland

Correspondence should be addressed to Prof. Wulfram Gerstner, Ecole Polytechnique Fédérale de Lausanne, Laboratory of Computational Neuroscience, Station 15, 1015 Lausanne, Switzerland. Email: wulfram.gerstner{at}epfl.ch

Classical experiments on spike timing-dependent plasticity (STDP) use a protocol based on pairs of presynaptic and postsynaptic spikes repeated at a given frequency to induce synaptic potentiation or depression. Therefore, standard STDP models have expressed the weight change as a function of pairs of presynaptic and postsynaptic spike. Unfortunately, those paired-based STDP models cannot account for the dependence on the repetition frequency of the pairs of spike. Moreover, those STDP models cannot reproduce recent triplet and quadruplet experiments. Here, we examine a triplet rule (i.e., a rule which considers sets of three spikes, i.e., two pre and one post or one pre and two post) and compare it to classical pair-based STDP learning rules. With such a triplet rule, it is possible to fit experimental data from visual cortical slices as well as from hippocampal cultures. Moreover, when assuming stochastic spike trains, the triplet learning rule can be mapped to a Bienenstock–Cooper–Munro learning rule.

Key words: STDP; spike triplet; modeling; computational neuroscience; Hebbian learning; long-term potentiation

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Received April 4, 2006; revised Aug. 4, 2006; accepted Aug. 4, 2006.

Correspondence should be addressed to Prof. Wulfram Gerstner, Ecole Polytechnique Fédérale de Lausanne, Laboratory of Computational Neuroscience, Station 15, 1015 Lausanne, Switzerland. Email: wulfram.gerstner{at}epfl.ch

This article has been cited by other articles:

				G. Billings and M. C. W. van Rossum Memory Retention and Spike-Timing-Dependent Plasticity J Neurophysiol, June 1, 2009; 101(6): 2775 - 2788. [Abstract] [Full Text] [PDF]

				H. Urakubo, M. Honda, R. C. Froemke, and S. Kuroda Requirement of an Allosteric Kinetics of NMDA Receptors for Spike Timing-Dependent Plasticity J. Neurosci., March 26, 2008; 28(13): 3310 - 3323. [Abstract] [Full Text] [PDF]

				Y. Cai, J. P. Gavornik, L. N. Cooper, L. C. Yeung, and H. Z. Shouval Effect of Stochastic Synaptic and Dendritic Dynamics on Synaptic Plasticity in Visual Cortex and Hippocampus J Neurophysiol, January 1, 2007; 97(1): 375 - 386. [Abstract] [Full Text] [PDF]

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