Parameter Optimization Using Covariance Matrix Adaptation—Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes

Parameter Optimization Using Covariance Matrix Adaptation—Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes

Computational models in neuroscience can be used to predict causal relationships between biological mechanisms in neurons and networks, such as the effect of blocking an ion channel or synaptic connection on neuron activity. Since developing a biophysically realistic, single neuron model is exceedin...

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Bibliographic Details
Main Authors: Zbigniew Jȩdrzejewski-Szmek, Karina P. Abrahao, Joanna Jȩdrzejewska-Szmek, David M. Lovinger, Kim T. Blackwell
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Neuroinformatics
Subjects:
striatum
globus pallidus
MOOSE
neuronal model
biophysics
ion channels
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2018.00047/full

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https://www.frontiersin.org/article/10.3389/fninf.2018.00047/full

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