*To appear in: Neural Networks, Special Issue on Spiking Neurons, Dec. 2001,
.*

##
Coding Properties of Spiking Neurons:
Reverse and Cross-Correlations

Wulfram Gerstner

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.

* Keywords *:
spiking neurons, integrate-and-fire model,
reverse correlations, cross-correlations,
population equations, population activity,
rate model, Hebbian learning,
spike-time dependent plasticity.

Manuscript:
Preprint (ps.Z) |