Title	Variability in Network Dynamics
Creator	Newhall, Katherine
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2015-12-07T16:07
Description	Mathematical models of neuronal network dynamics, such as randomly connected integrate-and-fire model neurons, typically create homogeneous dynamics in the sense that a single neuron in the network is representative of the ensemble behavior, and dynamics in time are statistically repeatable. I will discuss work in progress on experimental data in which neither is true, looking at a statistical method to answer biological questions, and pondering the existence of simple model network motifs capable of producing such variability.
Extent	35 minutes
Subject	Mathematics; Biology and other natural sciences; Probability theory and stochastic processes; Mathematical biology
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: University of North Carolina-Chapel Hill
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2016-06-07
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0304586
URI	http://hdl.handle.net/2429/58249
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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