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Decorrelation of spike trains by synaptic depression
Journal article   Peer reviewed

Decorrelation of spike trains by synaptic depression

Mark S Goldman, Sacha B Nelson and L.F Abbott
Neurocomputing (Amsterdam), Vol.26, pp.147-153
06/1999

Abstract

Short-term plasticity Synaptic depression Correlation Cortical network
Synaptic depression modeled after that seen in cortical slices removes correlations from realistic spike sequences. If not removed, such correlations can lead to inefficient and redundant neural codes. We suggest that this redundancy reduction at individual synapses enables a neuron to better process information from multiple inputs.

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