A stimulus can be encoded in a population of spiking neurons through any change in the
statistics of the joint spike pattern, yet we commonly summarize single-trial population …

The mutual information between stimulus and spike-train response is commonly used to
monitor neural coding efficiency, but neuronal computation broadly conceived requires more …

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 …

It remains unclear whether the variability of neuronal spike trains in vivo arises due to
biological noise sources or represents highly precise encoding of temporally varying …

Many neurons display significant patterning in their spike trains (eg oscillations, bursting),
and there is accumulating evidence that information is contained in these patterns. In many …

Results To begin, we provide general analytical approximations to the complexity
distribution for a known generation process [3] which we extend to allow for multiple …

The question of how real-world events are encoded into neuronal spike trains, and how
those spike trains are, in turn, translated into perceptions, lies at the heart of neuroscience …

We consider a statistical framework in which recurrent networks of spiking neurons learn to
generate spatio-temporal spike patterns. Given biologically realistic stochastic neuronal …

Synchronous firing limits the amount of information that can be extracted by averaging the
firing rates of similarly tuned neurons. Here, we show that the loss of such rate-coded …

A simple expression for a lower bound of Fisher information is derived for a network of
recurrently connected spiking neurons that have been driven to a noise-perturbed steady …