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.