Modeling single-neuron dynamics and computations: A balance of detail and abstraction

Herz, A. V. M., Gollisch, T., Machens, C. K., Jaeger, D. (2006) Modeling single-neuron dynamics and computations: A balance of detail and abstraction. Science, 314 (5796). pp. 80-85. ISSN 00368075

URL: http://www.ncbi.nlm.nih.gov/pubmed/17023649
DOI: 10.1126/science.1127240

Abstract

The fundamental building block of every nervous system is the single neuron. Understanding how these exquisitely structured elements operate is an integral part of the quest to solve the mysteries of the brain. Quantitative mathematical models have proved to be an indispensable tool in pursuing this goal. We review recent advances and examine how single-cell models on five levels of complexity, from black-box approaches to detailed compartmental simulations, address key questions about neural dynamics and signal processing.

Item Type: Paper
Subjects: bioinformatics > computational biology
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
CSHL Authors:
Communities: CSHL labs > Brody lab
Depositing User: CSHL Librarian
Date Deposited: 13 Dec 2011 17:49
Last Modified: 01 Mar 2013 14:57
Related URLs:
URI: http://repository.cshl.edu/id/eprint/22816

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