Inferring Trial-to-Trial Excitatory and Inhibitory Synaptic Inputs from Membrane Potential using Gaussian Mixture Kalman Filtering

Inferring Trial-to-Trial Excitatory and Inhibitory Synaptic Inputs from Membrane Potential using Gaussian Mixture Kalman Filtering

Time-varying excitatory and inhibitory synaptic inputs govern activity of neurons and process information in the brain. The importance of trial-to-trial fluctuations of synaptic inputs has recently been investigated in neuroscience. Such fluctuations are ignored in the most conventional techniques b...

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Bibliographic Details
Main Authors: Milad eLankarany, Wei Ping eZhu, Srikanta M.N. Swamy, Taro eToyoizumi
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-09-01
Series:Frontiers in Computational Neuroscience
Subjects:
expectation maximization
Kalman filter
Excitatory and inhibitory synaptic inputs
synaptic conductance
Gaussian mixture Kalman filtering
Recursive Algorithm
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00109/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00109/full

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