JSM 2011 Online Program

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Abstract Details

Activity Number: 464
Type: Contributed
Date/Time: Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #302838
Title: Bayesian Functional Classification and Visualization of Neurons for Brain Decoding
Author(s): Duchwan Ryu*+
Companies: Georgia Health Sciences University
Address: 120 15th Street, AE - 1005, Augusta, GA, 30912,
Keywords: Bayesian nonparametric functional analysis ; Bayesian partition ; dimension reduction
Abstract:

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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