An analysis of neural receptive field plasticity by point process adaptive filtering.

ABSTRACT: Neural receptive fields are plastic: with experience, neurons in many brain regions change their spiking responses to relevant stimuli. Analysis of receptive field plasticity from experimental measurements is crucial for understanding how neural systems adapt their representations of relevant biological information. Current analysis methods using histogram estimates of spike rate functions in nonoverlapping temporal windows do not track the evolution of receptive field plasticity on a fine time scale. Adaptive signal processing is an established engineering paradigm for estimating time-varying system parameters from experimental measurements. We present an adaptive filter algorithm for tracking neural receptive field plasticity based on point process models of spike train activity. We deri

SUBMITTER: Brown EN 

PROVIDER: S-EPMC59830 | biostudies-literature | 2001 Oct

REPOSITORIES: biostudies-literature