Blind detection of behavior related population activity by using edit similarity measurement and statistical modeling

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Keita Watanabe (University of Tokyo & RIKEN brain Science Institute, Japan)

Abstract: Considerable methodological progress suggests that sequential firing of cortical neurons plays an active role in processing behaviorally relevant information, yet methods for detecting sequential firing patterns are limited due to its noisy nature. We propose a novel metric called "Edit similarity" to tackle the problem. In this talk, I'll talk about the basic idea of it and introduce its applications.

Room or Area: 
EP1201

Contact:

Amanda Mauthe-Kaddoura | amanda.mauthe2@uleth.ca | (403) 332-4099