Temporally asymmetric Hebbian learning and neuronal response variability

Citation
S. Song et Lf. Abbott, Temporally asymmetric Hebbian learning and neuronal response variability, NEUROCOMPUT, 32, 2000, pp. 523-528
Citations number
11
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
NEUROCOMPUTING
ISSN journal
09252312 → ACNP
Volume
32
Year of publication
2000
Pages
523 - 528
Database
ISI
SICI code
0925-2312(200006)32:<523:TAHLAN>2.0.ZU;2-X
Abstract
Recent experimental data have characterized a form of long-term synaptic mo dification that depends on the relative timing of pre- and post-synaptic ac tion potentials. Modeling studies indicate that this rule can automatically adjust excitatory synaptic strengths so that the post-synaptic neuron rece ives roughly equal amount of excitation and inhibition and as a consequence fires irregular spike trains as observed in vivo. This rule also induces c ompetition between different inputs and strengthens groups of synapes that are correlated over short time periods. (C) 2000 Elsevier Science B.V. All rights reserved.