Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics

Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics

The inverse problem for estimating model parameters from brain spike data is an ill-posed problem because of a huge mismatch in the system complexity between the model and the brain as well as its non-stationary dynamics, and needs a stochastic approach that finds the most likely solution among many...

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Bibliographic Details
Main Authors: Huu eHoang, Okito eYamashita, Isao T. Tokuda, Masa-aki eSato, Mitsuo eKawato, Keisuke eToyama
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-05-01
Series:Frontiers in Computational Neuroscience
Subjects:
Gap Junctions
inferior olive
spike train
Non-stationary
Bayes inference
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00056/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00056/full

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