Methods for identification of spike patterns in massively parallel spike trains.

ABSTRACT: Temporally, precise correlations between simultaneously recorded neurons have been interpreted as signatures of cell assemblies, i.e., groups of neurons that form processing units. Evidence for this hypothesis was found on the level of pairwise correlations in simultaneous recordings of few neurons. Increasing the number of simultaneously recorded neurons increases the chances to detect cell assembly activity due to the larger sample size. Recent technological advances have enabled the recording of 100 or more neurons in parallel. However, these massively parallel spike train data require novel statistical tools to be analyzed for correlations, because they raise considerable combinatorial and multiple testing issues. Recently, various of such methods have started to develop. First approac

SUBMITTER: Quaglio P 

PROVIDER: S-EPMC5908877 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature