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 language | English (US) |
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Pages (from-to) | 180-184 |
Number of pages | 5 |
Journal | Brain research |
Volume | 331 |
Issue number | 1 |
DOIs | |
State | Published - 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