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An open source motorized swivel for in vivo neural and behavioral recordings
In this work we propose an open source, cost-effective motorized swivel for behavioral and neural recordings in small rodents, offering a flexible solution for managing cable twisting and tangling in a variety of experimental settings with minimal human supervision. • The device operates independent...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726719/ https://www.ncbi.nlm.nih.gov/pubmed/33318960 http://dx.doi.org/10.1016/j.mex.2020.101167 |
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author | Barbera, Giovanni Zhang, Yan Werner, Craig Liang, Bo Li, Yun Lin, Da-Ting |
author_facet | Barbera, Giovanni Zhang, Yan Werner, Craig Liang, Bo Li, Yun Lin, Da-Ting |
author_sort | Barbera, Giovanni |
collection | PubMed |
description | In this work we propose an open source, cost-effective motorized swivel for behavioral and neural recordings in small rodents, offering a flexible solution for managing cable twisting and tangling in a variety of experimental settings with minimal human supervision. • The device operates independently of the data acquisition system, and it can be controlled through any popular platform such as Arduino or Raspberry Pi. • All mechanical parts are 3D-printed, allowing to customize the design to fit specific experimental needs, and electromechanical components can be sourced from all major distributors, keeping the cost for the entire system under $500. • The proposed commutator is compatible with commercial or custom data acquisition systems supporting up to 10 data lines (2 for LVDS signals) and 2 power lines. |
format | Online Article Text |
id | pubmed-7726719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-77267192020-12-13 An open source motorized swivel for in vivo neural and behavioral recordings Barbera, Giovanni Zhang, Yan Werner, Craig Liang, Bo Li, Yun Lin, Da-Ting MethodsX Method Article In this work we propose an open source, cost-effective motorized swivel for behavioral and neural recordings in small rodents, offering a flexible solution for managing cable twisting and tangling in a variety of experimental settings with minimal human supervision. • The device operates independently of the data acquisition system, and it can be controlled through any popular platform such as Arduino or Raspberry Pi. • All mechanical parts are 3D-printed, allowing to customize the design to fit specific experimental needs, and electromechanical components can be sourced from all major distributors, keeping the cost for the entire system under $500. • The proposed commutator is compatible with commercial or custom data acquisition systems supporting up to 10 data lines (2 for LVDS signals) and 2 power lines. Elsevier 2020-12-03 /pmc/articles/PMC7726719/ /pubmed/33318960 http://dx.doi.org/10.1016/j.mex.2020.101167 Text en Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Method Article Barbera, Giovanni Zhang, Yan Werner, Craig Liang, Bo Li, Yun Lin, Da-Ting An open source motorized swivel for in vivo neural and behavioral recordings |
title | An open source motorized swivel for in vivo neural and behavioral recordings |
title_full | An open source motorized swivel for in vivo neural and behavioral recordings |
title_fullStr | An open source motorized swivel for in vivo neural and behavioral recordings |
title_full_unstemmed | An open source motorized swivel for in vivo neural and behavioral recordings |
title_short | An open source motorized swivel for in vivo neural and behavioral recordings |
title_sort | open source motorized swivel for in vivo neural and behavioral recordings |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726719/ https://www.ncbi.nlm.nih.gov/pubmed/33318960 http://dx.doi.org/10.1016/j.mex.2020.101167 |
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