Coding properties of spiking neurons: reverse- and cross-correlations

What is the `meaning' of a single spike? Spike-triggered averaging (`reverse correlations') yields the typical input just before a spike. Similarly, cross-correlations describe the probability of firing an output spike given (one additional) presynaptic input spike. In this paper we analytically calculate reverse and cross-correlations for a spiking neuron model with escape noise. The influence of neuronal parameters (such as the membrane time constant, the noise level, and the mean firing rate) on the form of the correlation function is illustrated. The calculation is done in the framework of a population theory that is reviewed. The relation of the population activity equations to population density methods is discussed. Finally we indicate the role of cross-correlations in spike-time dependent Hebbian plasticity.


Published in:
Neural Networks, 14, 6-7, 599-610
Year:
2001
Publisher:
Elsevier
ISSN:
0893-6080
Keywords:
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 Record created 2006-12-12, last modified 2018-12-03

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