Now that recordings of multiple, individual action potentials are being made with chronic
electrodes, it seems that previous work showing simple encoding of movement parameters …

Rich, dynamic, and dense sensory stimuli are encoded within the nervous system by the
time-varying activity of many individual neurons. A fundamental approach to understanding …

Response properties of sensory neurons are commonly described using receptive fields.
This description may be formalized in a model that operates with a small set of linear filters …

Neurons in primary visual cortex (V1) are commonly classified as simple or complex based
upon their sensitivity to the sign of stimulus contrast. The responses of both cell types can be …

A fundamental goal of sensory systems neuroscience is the characterization of the functional
relationship between environmental stimuli and neural response. The purpose of such a …

We propose a method that allows for a rigorous statistical analysis of neural responses to
natural stimuli that are nongaussian and exhibit strong correlations. We have in mind a …

Our understanding of nonlinear stimulus transformations by neural circuits is hindered by the
lack of comprehensive yet interpretable computational modeling frameworks. Here, we …

Neuronal responses to ongoing stimulation in many systems change over time, or “adapt.”
Despite the ubiquity of adaptation, its effects on the stimulus information carried by neurons …

Abstract vVe analyze the convergence properties of three spike-triggered data analysis
techniques. All of our results are obtained in the set (cid: 173) ting of a (possibly …

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 …