Neurons fire even in the absence of sensory stimulation or task demands. Numerous
theoretical studies have modeled this spontaneous activity as a Poisson process with …

When the same visual stimulus is presented across many trials, neurons in the visual cortex
receive stimulus-related synaptic inputs that are reproducible across trials (S) and inputs that …

It has been postulated that information processing in the brain is based on precise temporal
correlation of neural activity across populations of neurons. In a recent study we found spatio …

Sequential neural activity has been observed in many parts of the brain. Sequential activity
can be generated by recurrent neural networks, which have been extensively studied (White …

The big open question in neural coding is:" what's the neural code?". At the single neuron
level, at least in cortex, evidence is mounting that the code is primarily firing rate. For …

How is sensory information encoded by the patterns of action potentials emitted by
ensembles of neurons? Computational methods have recently been applied to this …

A theory of information flow through sensory nervous systems is formulated as the
representation of a finite number of events by a set of parallel point process channels with …

Irregular ongoing activity in cortical networks is often modeled as arising from recurrent
connectivity. Yet it remains unclear to what extent its presence corrupts sensory signal …

The interaction between spontaneous and externally evoked neuronal activity is
fundamental for a functional brain. Increasing evidence suggests that bursts of high-power …

Switching between oscillatory and stochastic states in single electrode signals from cat
visual cortex is an experimental phenomenon which had not been included in recent models …