Recurrent linear models of simultaneously-recorded neural populations

NeurIPS 2013 Marius PachitariuBiljana PetreskaManeesh Sahani

Population neural recordings with long-range temporal structure are often best understood in terms of a shared underlying low-dimensional dynamical process. Advances in recording technology provide access to an ever larger fraction of the population, but the standard computational approaches available to identify the collective dynamics scale poorly with the size of the dataset... (read more)

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