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  The surveillance state of behavioral automation

Schaefer, A. T., & Claridge-Chang, A. (2012). The surveillance state of behavioral automation. Current Opinion in Neurobiology, 22(1), 170-176. doi:10.1016/j.conb.2011.11.004.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-1F34-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-1F37-D
Genre: Journal Article
Alternative Title : The surveillance state of behavioral automation

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CurrOpinNeurobiol_22_2012_170.pdf (Any fulltext), 626KB
 
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Schaefer, Andreas T.1, Author              
Claridge-Chang, Adam, Author
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1Max Planck Research Group Behavioural Neurophysiology (Andreas T. Schaefer), Max Planck Institute for Medical Research, Max Planck Society, ou_1497722              

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 Abstract: 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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Language(s): eng - English
 Dates: 2011-11-242011-11-242012-02-01
 Publication Status: Published in print
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 Rev. Method: Peer
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Title: Current Opinion in Neurobiology
  Other : Curr. Opin.Neurobiol.
Source Genre: Journal
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Publ. Info: New York, NY : Elsevier Current Trends
Pages: - Volume / Issue: 22 (1) Sequence Number: - Start / End Page: 170 - 176 Identifier: ISSN: 0959-4388
CoNE: https://pure.mpg.de/cone/journals/resource/954925578066