Automated analysis of behavior: a computer-controlled system for drug screening and the investigation of learning.
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.
Hicks
Caitlin
C
Forsyth Center for Regenerative and Developmental Biology, The Forsyth Institute, Boston, Massachusetts 02115, USA.
Sorocco
Debra
D
Levin
Michael
M
D000818:Animals; D001331:Automation / Q000379:methods; D003071:Cognition / Q000502:physiology; D003201:Computers; D003213:Conditioning, Psychological; D005247:Feeding Behavior / Q000502:physiology; D007858:Learning / Q000502:physiology*; D008027:Light; D010932:Planarians / Q000502:physiology; D011930:Reaction Time