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Variability in Network Dynamics Newhall, Katherine
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.
Item Metadata
Title |
Variability in Network Dynamics
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2015-12-07T16:07
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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.
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Extent |
35 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: University of North Carolina-Chapel Hill
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Series | |
Date Available |
2016-06-07
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0304586
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International