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Modeling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction

Science (American Association for the Advancement of Science), 2006-10, Vol.314 (5796), p.80-85 [Peer Reviewed Journal]

Copyright 2006 American Association for the Advancement of Science ;Copyright American Association for the Advancement of Science Oct 6, 2006 ;ISSN: 0036-8075 ;EISSN: 1095-9203 ;DOI: 10.1126/science.1127240 ;PMID: 17023649 ;CODEN: SCIEAS

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Title:
Modeling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction
Author: Herz, Andreas V.M ; Gollisch, Tim ; Machens, Christian K ; Jaeger, Dieter
Subjects: Action Potentials ; Animals ; Behavioral neuroscience ; Brain ; Computer Simulation ; Dendrites ; Dendrites - physiology ; Electric Stimulation ; Humans ; Information processing ; Mathematical independent variables ; Mathematical models ; Mathematics ; Modeling ; Models, Neurological ; Nerve Net - physiology ; Neurons ; Neurons - physiology ; Neuroscience ; Neurosciences ; Parametric models ; Review ; Spatial models ; Synapses - physiology
Is Part Of: Science (American Association for the Advancement of Science), 2006-10, Vol.314 (5796), p.80-85
Description: 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.
Publisher: United States: American Association for the Advancement of Science
Language: English
Identifier: ISSN: 0036-8075
EISSN: 1095-9203
DOI: 10.1126/science.1127240
PMID: 17023649
CODEN: SCIEAS
Source: MEDLINE

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Modeling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction

Copyright 2006 American Association for the Advancement of Science ;Copyright American Association for the Advancement of Science Oct 6, 2006 ;ISSN: 0036-8075 ;EISSN: 1095-9203 ;DOI: 10.1126/science.1127240 ;PMID: 17023649 ;CODEN: SCIEAS

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