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Synaptic and Temporal Ensemble Interpretation of Spike-Timing-Dependent Plasticity

paa02r{at}ecs.soton.ac.uk, Department of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, U.K.

Terry Elliott

te{at}ecs.soton.ac.uk, Department of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, U.K.

We postulate that a simple, three-state synaptic switch governs changes in synaptic strength at individual synapses. Under this switch rule, we show that a variety of experimental results on timing-dependent plasticity can emerge from temporal and spatial averaging over multiple synapses and multiple spike pairings. In particular, we show that a critical window for the interaction of pre- and postsynaptic spikes emerges as an ensemble property of the collective system, with individual synapses exhibiting only a minimal form of spike coincidence detection. In addition, we show that a Bienenstock-Cooper-Munro–like, rate-based plasticity rule emerges directly from such a model. This demonstrates that two apparently separate forms of neuronal plasticity can emerge from a much simpler rule governing the plasticity of individual synapses.

This article has been cited by other articles:

				P. A. Appleby and T. Elliott Multispike Interactions in a Stochastic Model of Spike-Timing-Dependent Plasticity Neural Comput., May 1, 2007; 19(5): 1362 - 1399. [Abstract] [Full Text] [PDF]

				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]