Transmission of information is an important function of cortical neurons, so it is conceivable
that they have evolved to transmit information efficiently, with low noise and high temporal …

Neurons compute and communicate by transforming synaptic input patterns into output
spike trains. The nature of this transformation depends crucially on the properties of voltage …

Recent experimental reports have suggested that cortical networks can operate in regimes
were sensory information is encoded by relatively small populations of spikes and their …

Cortical neurons exhibit tremendous variability in the number and temporal distribution of
spikes in their discharge patterns. Furthermore, this variability appears to be conserved over …

Many cortical neurons combine the information ascending and descending the cortical
hierarchy. In the classical view, this information is combined nonlinearly to give rise to a …

In the present overview, our wish is to demystify some aspects of coding with spike-timing,
through a simple review of well-understood technical facts regarding spike coding. Our goal …

It has been known for> 30 years that neuronal spike trains exhibit correlations, that is, the
occurrence of a spike at one time is not independent of the occurrence of spikes at other …

Networks based on coordinated spike coding can encode information with high efficiency in
the spike trains of individual neurons. These networks exhibit single-neuron variability and …

In retina and in cortical slice the collective response of spiking neural populations is well
described by “maximum-entropy” models in which only pairs of neurons interact. We asked …

Computational neuroscience has contributed significantly to our understanding of higher
brain function by combining experimental neurobiology, psychophysics, modeling, and …