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A Novel Multiple Objective Optimization Framework for Constraining Conductance-Based Neuron Models by Experimental Data

We present a novel framework for automatically constraining parameters of compartmental models of neurons, given a large set of experimentally measured responses of these neurons. In experiments, intrinsic noise gives rise to a large variability (e.g., in firing pattern) in the voltage responses to...

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Detalles Bibliográficos
Autores principales: Druckmann, Shaul, Banitt, Yoav, Gidon, Albert, Schürmann, Felix, Markram, Henry, Segev, Idan
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2570085/
https://www.ncbi.nlm.nih.gov/pubmed/18982116
http://dx.doi.org/10.3389/neuro.01.1.1.001.2007

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