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Monday, July 20 • 8:00pm - 9:00pm
P188: Neuro-PC: Causal Functional Connectivity for Neural Dynamics

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Virtual Room: https://washington.zoom.us/j/96839673051?pwd=Nm1EdFdNL2ZiaGlkQ2ZkWTBUNitrdz09
Contributors: Rahul Biswas
, Eli Shlizerman

Manuscript under submission. The information/uploads related to this session are not available under the CC license.

Neuronal interactions lead to behavior and cognition, so that investigating the interactions in the brain network is essential to understanding brain function. However, approaches that characterize the causal relationships between neuronal time series — causal functional connectivity — have not been well investigated. In this work, we develop methodology for inferring the causal functional connectivity between neurons. The methodology at the core relies on adapting the PC algorithm, a state-of-the-art method for statistical causal inference, to the neuronal time series scenario. We validate the performance of the method in synthetic signals generated from continuous time artificial neural networks. We further obtain the causal functional connectivity between neurons in mice brain under different visual stimuli from electro-physiological neural recordings.

Speakers
RB

Rahul Biswas

PhD Student, Statistics, University of Washington



Monday July 20, 2020 8:00pm - 9:00pm CEST
Slot 02