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Automated analysis of behavior: A computer-controlled system for drug screening and the investigation of learning by Caitlin Hicks; Debra Sorocco; Michael Levin is a Neuroscience article available to read on EtoBox.

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## Abstract Efforts to understand cognition will be greatly facilitated by computerized systems that enable the automated analysis of animal behavior. A number of controversies in the invertebrate learning field have resulted from difficulties inherent in manual experiments. Driven by the necessity to overcome these problems during investigation of neural function in planarian flatworms and frog larvae, we designed and developed a prototype for an inexpensive, flexible system that enables automated control and analysis of behavior and learning. Applicable to a variety of small animals such as flatworms and zebrafish, this system allows automated analysis of innate behavior, as well as of learning and memory in a plethora of conditioning paradigms. We present here the schematics of a basic prototype, which overcomes experimenter effects and operator tedium, enabling a large number of animals to be analyzed with transparent on‐line access to primary data. A scaled‐up version of this technology represents an efficient methodology to screen pharmacological and genetic libraries for novel neuroactive reagents of basic and biomedical relevance. © 2006 Wiley Periodicals, Inc. J Neurobiol,

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Author

Caitlin Hicks; Debra Sorocco; Michael Levin

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0022-3034)

Published

2006

Language

EN

Field

Neuroscience (Life Sciences)