Abstract Details
Activity Number:
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226
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 4, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #311526
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View Presentation
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Title:
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Modeling Neuronal Cross-Interactions
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Author(s):
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Hernando Ombao*+ and Sam Behseta and Babak Shahbaba and David Moorman
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Companies:
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University of California, Irvine and California State University, Fullerton and University of California, Irvine and University of Massachusetts
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Keywords:
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Time Series ;
Spectral Analysis ;
Mixed Effects Models ;
Spike Train ;
Local Field Potentials
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Abstract:
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The brain science community is keenly interested in studying how neurons and neuronal populations interact while processing complex cognitive tasks. In fact, there is a growing body of evidence suggesting that altered brain functional connectivity may be associated with various mental and neurological disorders. Motivated by these important problems, our group has been developing statistical models for studying cross-oscillatory dependence between components of a multivariate time series. In this talk, we shall discuss statistical approaches to analyzing neuronal electrophysical data, namely, spike train data and local field potentials recorded from a laboratory rat. These methods will be used to study the dyanmics in neuronal interactions as the rat processes risk-reward information during probabiity discounting task experiment.
This is a joint work with members of the Space-Time Modeling Group at UC Irvine.
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Authors who are presenting talks have a * after their name.
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