Literature DB >> 16779826

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

Caitlin Hicks1, Debra Sorocco, Michael Levin.   

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.

Entities:  

Mesh:

Year:  2006        PMID: 16779826     DOI: 10.1002/neu.20290

Source DB:  PubMed          Journal:  J Neurobiol        ISSN: 0022-3034


  22 in total

1.  A chemical genetics approach reveals H,K-ATPase-mediated membrane voltage is required for planarian head regeneration.

Authors:  Wendy S Beane; Junji Morokuma; Dany S Adams; Michael Levin
Journal:  Chem Biol       Date:  2011-01-28

2.  Galantamine reverses scopolamine-induced behavioral alterations in Dugesia tigrina.

Authors:  Latha Ramakrishnan; Christina Amatya; Cassie J DeSaer; Zachary Dalhoff; Michael R Eggerichs
Journal:  Invert Neurosci       Date:  2014-01-09

3.  Bioelectric signaling regulates head and organ size during planarian regeneration.

Authors:  Wendy Scott Beane; Junji Morokuma; Joan M Lemire; Michael Levin
Journal:  Development       Date:  2013-01-15       Impact factor: 6.868

4.  Zebrafish assessment of cognitive improvement and anxiolysis: filling the gap between in vitro and rodent models for drug development.

Authors:  Edward D Levin
Journal:  Rev Neurosci       Date:  2011       Impact factor: 4.353

Review 5.  High-throughput screening and small animal models, where are we?

Authors:  Jean Giacomotto; Laurent Ségalat
Journal:  Br J Pharmacol       Date:  2010-05       Impact factor: 8.739

6.  Role of neuronal nicotinic acetylcholine receptors (nAChRs) on learning and memory in zebrafish.

Authors:  Daniela Braida; Luisa Ponzoni; Roberta Martucci; Fabio Sparatore; Cecilia Gotti; Mariaelvina Sala
Journal:  Psychopharmacology (Berl)       Date:  2013-12-06       Impact factor: 4.530

7.  Can zebrafish learn spatial tasks? An empirical analysis of place and single CS-US associative learning.

Authors:  Indraneel Karnik; Robert Gerlai
Journal:  Behav Brain Res       Date:  2012-05-23       Impact factor: 3.332

8.  Shuttle box learning in zebrafish (Danio rerio).

Authors:  Shalini Pather; Robert Gerlai
Journal:  Behav Brain Res       Date:  2008-09-24       Impact factor: 3.332

9.  Buspirone, chlordiazepoxide and diazepam effects in a zebrafish model of anxiety.

Authors:  Zachary Bencan; Damiyon Sledge; Edward D Levin
Journal:  Pharmacol Biochem Behav       Date:  2009-07-28       Impact factor: 3.533

10.  Cognition Enhancing Activity of Sulforaphane Against Scopolamine Induced Cognitive Impairment in Zebra Fish (Danio rerio).

Authors:  Venugopalan Rajesh; Sakthivel Ilanthalir
Journal:  Neurochem Res       Date:  2016-06-02       Impact factor: 3.996

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