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

Brown EN; Nguyen DP; Frank LMWilson MASolo V

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

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摘要

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 derive an instantaneous steepest descent algorithm by using as the criterion function the instantaneous log likelihood of a point process spike train model. We apply the point process adaptive filter algorithm in a study of spatial (place) receptive field properties of simulated and actual spike train data from rat CA1 hippocampal neurons. A stability analysis of the algorithm is sketched in the. The adaptive algorithm can update the place field parameter estimates on a millisecond time scale. It reliably tracked the migration, changes in scale, and changes in maximum firing rate characteristic of hippocampal place fields in a rat running on a linear track. Point process adaptive filtering offers an analytic method for studying the dynamics of neural receptive fields.

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《Proceedings of the National Academy of Sciences of the United States of America》 |2001年第21期|12261-12266|共6页
作者
Brown EN; Nguyen DP; Frank LMWilson MASolo V;
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作者单位

Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114, USA. brown;

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收录信息美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
原文格式 PDF
正文语种英语
中图分类自然科学总论;
关键词
Adaptation; Physiological; Algorithms; Likelihood Functions; Models; Neurological; 适应; 生理学; 算法; 似然函数; 模型; 神经学; 神经元可塑性; 神经元;

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

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