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...

Descripción completa

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:
Neuroscience
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

Internet

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

Ejemplares similares