Identifying Oscillatory and Stochastic Neuronal Behavior with High Temporal Precision in Macaque Monkey Visual Cortex
We characterize the network dynamics underlying multi-unit activities from area MT of macaque monkey in terms of a hidden markov model (HMM) and compare our results to those previously obtained from cat visual cortex. We find that the collective dynamics acts like a stochastic oscillator with a broad range of frequencies. Oscillatory and stochastic periods in the spike trains are detected with high temporal precision, and synchronous network events are identified and localized.
KeywordsHide Markov Model Spike Train Renewal Process Macaque Monkey Synchronous State
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