Presentation 2011-07-26
Statistical estimation of non-uniform dendritic membrane properties
Toshiaki OMORI, Toru AONISHI, Masato OKADA,
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Abstract(in English) We propose a statistical algorithm for extracting non-uniform dendritic membrane properties from partially observable noisy data such as voltage imaging data. Recent experimental studies suggest that dendritic computation plays an important role in information processing in local neural circuits. The non-uniform distribution of membrane properties over dendrite remains unclear, even though it determines how different kinds of information are integrated in neural systems. We formulate a state-space model for a multi-compartment model and derive a distributed-constant type Kalman filter by means of belief propagation. By using the derived Kalman filter and the EM algorithm, we show that our proposed algorithm can simultaneously estimate the spatiotemporal distribution of membrane potentials and the non-uniform distribution of membrane properties from partially observable noisy data.
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Keyword(in English) statistical estimation / state-space modeling / spatiotemporal dynamics / dendrite / imaging data / cable equation / probabilistic time series analysis
Paper # NC2011-32
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Committee NC
Conference Date 2011/7/18(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Statistical estimation of non-uniform dendritic membrane properties
Sub Title (in English)
Keyword(1) statistical estimation
Keyword(2) state-space modeling
Keyword(3) spatiotemporal dynamics
Keyword(4) dendrite
Keyword(5) imaging data
Keyword(6) cable equation
Keyword(7) probabilistic time series analysis
1st Author's Name Toshiaki OMORI
1st Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo:RIKEN Brain Science Institute()
2nd Author's Name Toru AONISHI
2nd Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
3rd Author's Name Masato OKADA
3rd Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo:RIKEN Brain Science Institute
Date 2011-07-26
Paper # NC2011-32
Volume (vol) vol.111
Number (no) 157
Page pp.pp.-
#Pages 6
Date of Issue