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The surveillance state of behavioral automation

Genetics’ demand for increased throughput is driving automatization of behavior analysis far beyond experimental workhorses like circadian monitors and the operant conditioning box. However, the new automation is not just faster: it is also allowing new kinds of experiments, many of which erase the...

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Detalles Bibliográficos
Autores principales: Schaefer, Andreas T, Claridge-Chang, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Current Biology 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398388/
https://www.ncbi.nlm.nih.gov/pubmed/22119142
http://dx.doi.org/10.1016/j.conb.2011.11.004
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author Schaefer, Andreas T
Claridge-Chang, Adam
author_facet Schaefer, Andreas T
Claridge-Chang, Adam
author_sort Schaefer, Andreas T
collection PubMed
description Genetics’ demand for increased throughput is driving automatization of behavior analysis far beyond experimental workhorses like circadian monitors and the operant conditioning box. However, the new automation is not just faster: it is also allowing new kinds of experiments, many of which erase the boundaries of the traditional neuroscience disciplines (psychology, ethology and physiology) while producing insight into problems that were otherwise opaque. Ironically, a central theme of current automatization is to improve observation of animals in increasingly naturalistic environments. This is not just a return to 19th century priorities: the new observational methods provide unprecedented quantitation of actions and ever-closer integration with experimentation.
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spelling pubmed-33983882012-07-24 The surveillance state of behavioral automation Schaefer, Andreas T Claridge-Chang, Adam Curr Opin Neurobiol Article Genetics’ demand for increased throughput is driving automatization of behavior analysis far beyond experimental workhorses like circadian monitors and the operant conditioning box. However, the new automation is not just faster: it is also allowing new kinds of experiments, many of which erase the boundaries of the traditional neuroscience disciplines (psychology, ethology and physiology) while producing insight into problems that were otherwise opaque. Ironically, a central theme of current automatization is to improve observation of animals in increasingly naturalistic environments. This is not just a return to 19th century priorities: the new observational methods provide unprecedented quantitation of actions and ever-closer integration with experimentation. Current Biology 2012-02 /pmc/articles/PMC3398388/ /pubmed/22119142 http://dx.doi.org/10.1016/j.conb.2011.11.004 Text en © 2012 Elsevier Ltd. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license
spellingShingle Article
Schaefer, Andreas T
Claridge-Chang, Adam
The surveillance state of behavioral automation
title The surveillance state of behavioral automation
title_full The surveillance state of behavioral automation
title_fullStr The surveillance state of behavioral automation
title_full_unstemmed The surveillance state of behavioral automation
title_short The surveillance state of behavioral automation
title_sort surveillance state of behavioral automation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3398388/
https://www.ncbi.nlm.nih.gov/pubmed/22119142
http://dx.doi.org/10.1016/j.conb.2011.11.004
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