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Abstract Details
Activity Number:
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464
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract - #302838 |
Title:
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Bayesian Functional Classification and Visualization of Neurons for Brain Decoding
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Author(s):
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Duchwan Ryu*+
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Companies:
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Georgia Health Sciences University
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Address:
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120 15th Street, AE - 1005, Augusta, GA, 30912,
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Keywords:
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Bayesian nonparametric functional analysis ;
Bayesian partition ;
dimension reduction
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Abstract:
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Neurons react and memorize on external stimuli with spikes on raster data. We first characterize each neuron through a Bayesian nonparametric functional analysis based on its frequencies of spikes, and then apply a Bayesian classification method hierarchically to establish neural cliques which are network-level coding units in brain. Because the hierarchical neural cliques depend on the imposed stimuli, we visualize them on dimension reduced stimuli space. With hippocampal data of mice, we demonstrate activities of large numbers of neurons in neural circuits during memory acquisition, consolidation and retrieval for mnemonic startling episodes.
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Authors who are presenting talks have a * after their name.
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