Maximum entropy models are the least structured probability distributions that exactly
reproduce a chosen set of statistics measured in an interacting network. Here we use this …

We studied the dynamics of large networks of spiking neurons with conductance-based
(nonlinear) synapses and compared them to networks with current-based (linear) synapses …

Neural synchronization in the cortex, and its potential role in information coding, has
attracted much recent attention. In this study, we have recorded long spike trains (mean …

Pairwise correlations among spike trains recorded in vivo have been frequently reported. It
has been argued that correlated activity could play an important role in the brain, because it …

Precise spike coordination between the spiking activities of multiple neurons is suggested
as an indication of coordinated network activity in active cell assemblies. Spike correlation …

The stochastic mechanism of synchronous firing in a population of neurons is studied from
the point of view of information geometry. Higher-order interactions of neurons, which cannot …

This study introduces information-geometric measures to analyze neural firing patterns by
taking not only the second-order but also higher-order interactions among neurons into …

Synaptic changes are hypothesized to underlie learning and memory formation in the brain.
But Hebbian synaptic plasticity of excitatory synapses on its own is unstable, leading to …

Sensory information is represented in the brain by the joint activity of large groups of
neurons. Recent studies have shown that, although the number of possible activity patterns …

Understanding how the brain performs computations requires understanding neuronal firing
patterns at successive levels of processing—a daunting and seemingly intractable task. Two …