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GenNet: A Platform for Hybrid Network Experiments
We describe General Network (GenNet), a software plugin for the real time experimental interface (RTXI) dynamic clamp system that allows for straightforward and flexible implementation of hybrid network experiments. This extension to RTXI allows for hybrid networks that contain an arbitrary number o...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146038/ https://www.ncbi.nlm.nih.gov/pubmed/21845179 http://dx.doi.org/10.3389/fninf.2011.00011 |
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author | Kispersky, Tilman J. Economo, Michael N. Randeria, Pratik White, John A. |
author_facet | Kispersky, Tilman J. Economo, Michael N. Randeria, Pratik White, John A. |
author_sort | Kispersky, Tilman J. |
collection | PubMed |
description | We describe General Network (GenNet), a software plugin for the real time experimental interface (RTXI) dynamic clamp system that allows for straightforward and flexible implementation of hybrid network experiments. This extension to RTXI allows for hybrid networks that contain an arbitrary number of simulated and real neurons, significantly improving upon previous solutions that were limited, particularly by the number of cells supported. The benefits of this system include the ability to rapidly and easily set up and perform scalable experiments with hybrid networks and the ability to scan through ranges of parameters. We present instructions for installing, running and using GenNet for hybrid network experiments and provide several example uses of the system. |
format | Online Article Text |
id | pubmed-3146038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31460382011-08-15 GenNet: A Platform for Hybrid Network Experiments Kispersky, Tilman J. Economo, Michael N. Randeria, Pratik White, John A. Front Neuroinform Neuroscience We describe General Network (GenNet), a software plugin for the real time experimental interface (RTXI) dynamic clamp system that allows for straightforward and flexible implementation of hybrid network experiments. This extension to RTXI allows for hybrid networks that contain an arbitrary number of simulated and real neurons, significantly improving upon previous solutions that were limited, particularly by the number of cells supported. The benefits of this system include the ability to rapidly and easily set up and perform scalable experiments with hybrid networks and the ability to scan through ranges of parameters. We present instructions for installing, running and using GenNet for hybrid network experiments and provide several example uses of the system. Frontiers Research Foundation 2011-07-26 /pmc/articles/PMC3146038/ /pubmed/21845179 http://dx.doi.org/10.3389/fninf.2011.00011 Text en Copyright © 2011 Kispersky, Economo, Randeria and White. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with. |
spellingShingle | Neuroscience Kispersky, Tilman J. Economo, Michael N. Randeria, Pratik White, John A. GenNet: A Platform for Hybrid Network Experiments |
title | GenNet: A Platform for Hybrid Network Experiments |
title_full | GenNet: A Platform for Hybrid Network Experiments |
title_fullStr | GenNet: A Platform for Hybrid Network Experiments |
title_full_unstemmed | GenNet: A Platform for Hybrid Network Experiments |
title_short | GenNet: A Platform for Hybrid Network Experiments |
title_sort | gennet: a platform for hybrid network experiments |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146038/ https://www.ncbi.nlm.nih.gov/pubmed/21845179 http://dx.doi.org/10.3389/fninf.2011.00011 |
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