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Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform
Single neuron feedback control techniques, such as voltage clamp and dynamic clamp, have enabled numerous advances in our understanding of ion channels, electrochemical signaling, and neural dynamics. Although commercially available multichannel recording and stimulation systems are commonly used fo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548271/ https://www.ncbi.nlm.nih.gov/pubmed/23346047 http://dx.doi.org/10.3389/fncir.2012.00098 |
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author | Newman, Jonathan P. Zeller-Townson, Riley Fong, Ming-Fai Arcot Desai, Sharanya Gross, Robert E. Potter, Steve M. |
author_facet | Newman, Jonathan P. Zeller-Townson, Riley Fong, Ming-Fai Arcot Desai, Sharanya Gross, Robert E. Potter, Steve M. |
author_sort | Newman, Jonathan P. |
collection | PubMed |
description | Single neuron feedback control techniques, such as voltage clamp and dynamic clamp, have enabled numerous advances in our understanding of ion channels, electrochemical signaling, and neural dynamics. Although commercially available multichannel recording and stimulation systems are commonly used for studying neural processing at the network level, they provide little native support for real-time feedback. We developed the open-source NeuroRighter multichannel electrophysiology hardware and software platform for closed-loop multichannel control with a focus on accessibility and low cost. NeuroRighter allows 64 channels of stimulation and recording for around US $10,000, along with the ability to integrate with other software and hardware. Here, we present substantial enhancements to the NeuroRighter platform, including a redesigned desktop application, a new stimulation subsystem allowing arbitrary stimulation patterns, low-latency data servers for accessing data streams, and a new application programming interface (API) for creating closed-loop protocols that can be inserted into NeuroRighter as plugin programs. This greatly simplifies the design of sophisticated real-time experiments without sacrificing the power and speed of a compiled programming language. Here we present a detailed description of NeuroRighter as a stand-alone application, its plugin API, and an extensive set of case studies that highlight the system’s abilities for conducting closed-loop, multichannel interfacing experiments. |
format | Online Article Text |
id | pubmed-3548271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-35482712013-01-23 Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform Newman, Jonathan P. Zeller-Townson, Riley Fong, Ming-Fai Arcot Desai, Sharanya Gross, Robert E. Potter, Steve M. Front Neural Circuits Neuroscience Single neuron feedback control techniques, such as voltage clamp and dynamic clamp, have enabled numerous advances in our understanding of ion channels, electrochemical signaling, and neural dynamics. Although commercially available multichannel recording and stimulation systems are commonly used for studying neural processing at the network level, they provide little native support for real-time feedback. We developed the open-source NeuroRighter multichannel electrophysiology hardware and software platform for closed-loop multichannel control with a focus on accessibility and low cost. NeuroRighter allows 64 channels of stimulation and recording for around US $10,000, along with the ability to integrate with other software and hardware. Here, we present substantial enhancements to the NeuroRighter platform, including a redesigned desktop application, a new stimulation subsystem allowing arbitrary stimulation patterns, low-latency data servers for accessing data streams, and a new application programming interface (API) for creating closed-loop protocols that can be inserted into NeuroRighter as plugin programs. This greatly simplifies the design of sophisticated real-time experiments without sacrificing the power and speed of a compiled programming language. Here we present a detailed description of NeuroRighter as a stand-alone application, its plugin API, and an extensive set of case studies that highlight the system’s abilities for conducting closed-loop, multichannel interfacing experiments. Frontiers Media S.A. 2013-01-18 /pmc/articles/PMC3548271/ /pubmed/23346047 http://dx.doi.org/10.3389/fncir.2012.00098 Text en Copyright © 2013 Newman, Zeller-Townson, Fong, Arcot Desai, Gross and Potter. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Neuroscience Newman, Jonathan P. Zeller-Townson, Riley Fong, Ming-Fai Arcot Desai, Sharanya Gross, Robert E. Potter, Steve M. Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform |
title | Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform |
title_full | Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform |
title_fullStr | Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform |
title_full_unstemmed | Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform |
title_short | Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform |
title_sort | closed-loop, multichannel experimentation using the open-source neurorighter electrophysiology platform |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548271/ https://www.ncbi.nlm.nih.gov/pubmed/23346047 http://dx.doi.org/10.3389/fncir.2012.00098 |
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