Automated analysis of behavior: A computer-controlled system for drug screening and the investigation of learning

被引:41
作者
Hicks, Caitlin
Sorocco, Debra
Levin, Michael
机构
[1] Forsyth Inst, Forsyth Ctr Regenerat & Dev Biol, Boston, MA 02115 USA
[2] Harvard Univ, Sch Dent Med, Dept Dev Biol, Boston, MA 02115 USA
来源
JOURNAL OF NEUROBIOLOGY | 2006年 / 66卷 / 09期
关键词
automated behavior analysis; learning; memory; testing; screening;
D O I
10.1002/neu.20290
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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 zebralish, 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. (c) 2006 Wiley Periodicals, Inc.
引用
收藏
页码:977 / 990
页数:14
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