The relationship between cross-correlation measures and underlying synaptic events

D. James Surmeier*, Richard J. Weinberg

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The relationship between an excitatory postsynaptic potential (EPSP) and the cross-correlation derived from the spike train evoked by a Poisson stimulus train was studied by computer simulation. The neuron model had a constant threshold and an absolute refractory period. Following a spike, the membrane potential was determined by ongoing activity, i.e., it was not 'reset'. Under all conditions studied, the rise time of the cross-correlation peak accurately reflected EPSP rise time. The agreement between the half-width of the cross-correlation peak and that of the underlying EPSP depended upon the EPSP amplitude, the rate of the driving Poisson input, and the time course of the EPSP. Over a broad range of experimentally relevant conditions, the half-width of the cross-correlation peak deviated from that of the underlying EPSP by less than 30% and bore little resemblance to that of the EPSP's time derivative.

Original languageEnglish (US)
Pages (from-to)180-184
Number of pages5
JournalBrain research
Volume331
Issue number1
DOIs
StatePublished - Apr 1 1985

Keywords

  • Poisson process
  • cross-correlation
  • cuneate nucleus
  • excitatory postsynaptic potential (EPSP)
  • neural modeling

ASJC Scopus subject areas

  • Neuroscience(all)
  • Molecular Biology
  • Clinical Neurology
  • Developmental Biology

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