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An automated, low-latency environment for studying the neural basis of behavior in freely moving rats
BACKGROUND: Behavior consists of the interaction between an organism and its environment, and is controlled by the brain. Brain activity varies at sub-second time scales, but behavioral measures are usually coarse (often consisting of only binary trial outcomes). RESULTS: To overcome this mismatch,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416379/ https://www.ncbi.nlm.nih.gov/pubmed/37568111 http://dx.doi.org/10.1186/s12915-023-01660-9 |
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author | Jankowski, Maciej M. Polterovich, Ana Kazakov, Alex Niediek, Johannes Nelken, Israel |
author_facet | Jankowski, Maciej M. Polterovich, Ana Kazakov, Alex Niediek, Johannes Nelken, Israel |
author_sort | Jankowski, Maciej M. |
collection | PubMed |
description | BACKGROUND: Behavior consists of the interaction between an organism and its environment, and is controlled by the brain. Brain activity varies at sub-second time scales, but behavioral measures are usually coarse (often consisting of only binary trial outcomes). RESULTS: To overcome this mismatch, we developed the Rat Interactive Foraging Facility (RIFF): a programmable interactive arena for freely moving rats with multiple feeding areas, multiple sound sources, high-resolution behavioral tracking, and simultaneous electrophysiological recordings. The paper provides detailed information about the construction of the RIFF and the software used to control it. To illustrate the flexibility of the RIFF, we describe two complex tasks implemented in the RIFF, a foraging task and a sound localization task. Rats quickly learned to obtain rewards in both tasks. Neurons in the auditory cortex as well as neurons in the auditory field in the posterior insula had sound-driven activity during behavior. Remarkably, neurons in both structures also showed sensitivity to non-auditory parameters such as location in the arena and head-to-body angle. CONCLUSIONS: The RIFF provides insights into the cognitive capabilities and learning mechanisms of rats and opens the way to a better understanding of how brains control behavior. The ability to do so depends crucially on the combination of wireless electrophysiology and detailed behavioral documentation available in the RIFF. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-023-01660-9. |
format | Online Article Text |
id | pubmed-10416379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104163792023-08-12 An automated, low-latency environment for studying the neural basis of behavior in freely moving rats Jankowski, Maciej M. Polterovich, Ana Kazakov, Alex Niediek, Johannes Nelken, Israel BMC Biol Methodology Article BACKGROUND: Behavior consists of the interaction between an organism and its environment, and is controlled by the brain. Brain activity varies at sub-second time scales, but behavioral measures are usually coarse (often consisting of only binary trial outcomes). RESULTS: To overcome this mismatch, we developed the Rat Interactive Foraging Facility (RIFF): a programmable interactive arena for freely moving rats with multiple feeding areas, multiple sound sources, high-resolution behavioral tracking, and simultaneous electrophysiological recordings. The paper provides detailed information about the construction of the RIFF and the software used to control it. To illustrate the flexibility of the RIFF, we describe two complex tasks implemented in the RIFF, a foraging task and a sound localization task. Rats quickly learned to obtain rewards in both tasks. Neurons in the auditory cortex as well as neurons in the auditory field in the posterior insula had sound-driven activity during behavior. Remarkably, neurons in both structures also showed sensitivity to non-auditory parameters such as location in the arena and head-to-body angle. CONCLUSIONS: The RIFF provides insights into the cognitive capabilities and learning mechanisms of rats and opens the way to a better understanding of how brains control behavior. The ability to do so depends crucially on the combination of wireless electrophysiology and detailed behavioral documentation available in the RIFF. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12915-023-01660-9. BioMed Central 2023-08-11 /pmc/articles/PMC10416379/ /pubmed/37568111 http://dx.doi.org/10.1186/s12915-023-01660-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Article Jankowski, Maciej M. Polterovich, Ana Kazakov, Alex Niediek, Johannes Nelken, Israel An automated, low-latency environment for studying the neural basis of behavior in freely moving rats |
title | An automated, low-latency environment for studying the neural basis of behavior in freely moving rats |
title_full | An automated, low-latency environment for studying the neural basis of behavior in freely moving rats |
title_fullStr | An automated, low-latency environment for studying the neural basis of behavior in freely moving rats |
title_full_unstemmed | An automated, low-latency environment for studying the neural basis of behavior in freely moving rats |
title_short | An automated, low-latency environment for studying the neural basis of behavior in freely moving rats |
title_sort | automated, low-latency environment for studying the neural basis of behavior in freely moving rats |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416379/ https://www.ncbi.nlm.nih.gov/pubmed/37568111 http://dx.doi.org/10.1186/s12915-023-01660-9 |
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