Summary: *Corresponding author.
E-mail addresses: #firstname.lastname@example.org (S. Song), email@example.com (L.F. Abbott).
Neurocomputing 32}33 (2000) 523}528
Temporally asymmetric Hebbian learning and neuronal
Sen Song*, L.F. Abbott
Volen Center for Complex Systems and Department of Biology, Brandeis University, Waltham,
MA 02454-9110, USA
Accepted 13 January 2000
Recent experimental data have characterized a form of long-term synaptic modi"cation that
depends on the relative timing of pre- and post-synaptic action potentials. Modeling studies
indicate that this rule can automatically adjust excitatory synaptic strengths so that the
post-synaptic neuron receives roughly equal amount of excitation and inhibition and as
a consequence "res irregular spike trains as observed in vivo. This rule also induces competition
between di!erent inputs and strengthens groups of synapes that are correlated over short time
periods. 2000 Elsevier Science B.V. All rights reserved.
Keywords: Hebbian learning; Spike timing; Variability; Competition; Balanced excitation
Recent experimental results indicate that the induction of long-term potentiation