Two-trace model for spike-timing-dependent synaptic plasticity

  • We present an effective model for timing-dependent synaptic plasticity (STDP) in terms of two interacting traces, corresponding to the fraction of activated NMDA receptors and the concentration in the dendritic spine of the postsynaptic neuron. This model intends to bridge the worlds of existing simplistic phenomenological rules and highly detailed models, thus constituting a practical tool for the study of the interplay of neural activity and synaptic plasticity in extended spiking neural networks. For isolated pairs of pre- and postsynaptic spikes, the standard pairwise STDP rule is reproduced, with appropriate parameters determining the respective weights and timescales for the causal and the anticausal contributions. The model contains otherwise only three free parameters, which can be adjusted to reproduce triplet nonlinearities in hippocampal culture and cortical slices. We also investigate the transition from time-dependent to rate-dependent plasticity occurring for both correlated and uncorrelated spike patterns.

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Author:Rodrigo Echeveste, Claudius GrosORCiDGND
Parent Title (English):Neural computation
Publisher:MIT Press
Place of publication:Cambridge, Mass.
Document Type:Article
Year of Completion:2015
Year of first Publication:2015
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2016/05/30
Page Number:28
First Page:672
Last Page:698
© 2015 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 3.0 Unported (CC BY 3.0) license.
Institutes:Physik / Physik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):License LogoCreative Commons - Namensnennung 3.0