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Neuronal Model Databases

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Encyclopedia of Computational Neuroscience

Synonyms

Brute-force model databases; neuronal parameter-measure model databases; neuronal simulation databases

Definition

A neuronal model database, in contrast to neuronal databases that collect experimental data, holds instances of computational models of one type. This model can be of a single neuron or a neuronal network, which is replicated by varying its input model parameters to yield many instances that are inserted into a searchable database. Each entry in the database corresponds to one model instance, which contains: (1) values of the varied parameters (e.g., maximal conductance, reversal potential, synaptic weights) required to uniquely identify and sufficient to re-simulate the model; and (2) several key output characteristics from the model simulation (e.g., firing rate for a single neuron or a bursting period in a network). The resulting database is often used to study the relevant properties (response to stimulus or firing activity characteristics) of the model across...

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Authors and Affiliations

  1. Department of Biology, Emory University, Atlanta, GA, USA

    Cengiz Günay

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  1. Cengiz Günay
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Correspondence to Cengiz Günay .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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Günay, C. (2014). Neuronal Model Databases. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_165-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_165-1

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  • Online ISBN: 978-1-4614-7320-6

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