Simultaneous recordings from large neural populations are becoming increasingly common.
An important feature of population activity is the trial-to-trial correlated fluctuation of spike …

Correlated spiking is often observed in cortical circuits, but its functional role is controversial.
It is believed that correlations are a consequence of shared inputs between nearby neurons …

Networks are becoming a ubiquitous metaphor for the understanding of complex biological
systems, spanning the range between molecular signalling pathways, neural networks in the …

When a stimulus supports two distinct interpretations, perception alternates in an irregular
manner between them. What causes the bistable perceptual switches remains an open …

Correlations in spike-train ensembles can seriously impair the encoding of information by
their spatio-temporal structure. An inevitable source of correlation in finite neural networks is …

Abstract The Wilson–Cowan model of interacting neurons (1973) is one of the most
influential papers published in Biological Cybernetics (Kybernetik). This paper and a …

Spike trains from cortical neurons show a high degree of irregularity, with coefficients of
variation (CV) of their interspike interval (ISI) distribution close to or higher than one. It has …

We study how pairs of neurons transfer correlated input currents into correlated spikes. Over
rapid time scales, correlation transfer increases with both spike time variability and rate; the …

The diversity of neuron models used in contemporary theoretical neuroscience to investigate
specific properties of covariances in the spiking activity raises the question how these …

Nerve cells in the brain generate sequences of action potentials with a complex statistics.
Theoretical attempts to understand this statistics were largely limited to the case of a …