Decorrelation of spike trains by synaptic depression

Authors
Goldman, MS Nelson, SB Abbott, LF
Citation
Ms. Goldman et al., Decorrelation of spike trains by synaptic depression, NEUROCOMPUT, 26-7, 1999, pp. 147-153
Citations number
11
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
NEUROCOMPUTING
ISSN journal
09252312 → ACNP
Volume
26-7
Year of publication
1999
Pages
147 - 153
Database
ISI
SICI code
0925-2312(199906)26-7:<147:DOSTBS>2.0.ZU;2-P
Abstract
Synaptic depression modeled after that seen in cortical slices removes corr elations from realistic spike sequences. If not removed, such correlations can lead to inefficient and redundant neural codes. We suggest that this re dundancy reduction at individual synapses enables a neuron to better proces s information from multiple inputs. (C) 1999 Elsevier Science B.V. All righ ts reserved.