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Summary: *Corresponding author. Tel.: #1-781-736-2876; fax: #1-781-736-3142.
E-mail address: abbott@volen.brandeis.edu (L.F. Abbott)
Neurocomputing 26}27 (1999) 147}153
Decorrelation of spike trains by synaptic
depression
Mark S. Goldman , Sacha B. Nelson , L.F. Abbott *
Volen Center for Complex Systems, Brandeis University, Waltham, MA 02254, USA
Department of Physics, Harvard University, USA
Department of Biology, Volen Center, Brandeis University, Waltham, MA 02254, USA
Abstract
Synaptic depression modeled after that seen in cortical slices removes correlations from
realistic spike sequences. If not removed, such correlations can lead to ine$cient and redundant
neural codes. We suggest that this redundancy reduction at individual synapses enables
a neuron to better process information from multiple inputs. 1999 Elsevier Science B.V. All
rights reserved.
Keywords: Correlation; Short-term plasticity; Synaptic depression; Cortical network
1. Introduction
Many hippocampal and neocortical synapses appear to be surprisingly unreliable,
with only a small fraction of presynaptic action potentials successfully triggering
vesicle release [8]. Despite this high failure rate, a neuron's ability to process
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