Stochastic Modeling of Neuronal Responses
The sequence of spikes in a train is considered to be a neuronal code. We have shown that a simple model in which the spikes are stochastically thrown down with the probabilities governed by a rate function over time estimated from the spike density over time. The numbers of spikes is determined by measuring the number of spikes over the interval of interest, usually several hundred milliseconds. By analyzing data from this model, which is instantiated by order statistics, neuronal spike trains can be decoded instant-by-instant as they unfold over time.
Neural code Spike trains Monkey cortex Single neurons
Barry J. Richmond
Section on Neural Coding and Computation, Laboratory of Neuropsychology, Department of Health and Human Services, US National Institute of Mental Health, Bethesda, MD 20892, USA
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
19-22
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）