Literature DB >> 19501618

Video imaging system for automated shaping and analysis of complex locomotory behavior.

Nelson G Publicover1, Linda J Hayes, L Fernando Guerrero, Kenneth W Hunter.   

Abstract

Although many observational technologies have been developed for the study of behavior, most of these technologies have suffered from the inability to engender highly reproducible behaviors that can be observed and modified. We have developed ACROBAT (Automated Control in Real-Time of Operant Behavior and Training), a video imaging system and associated computer algorithms that allow the fully automated shaping and analysis of complex locomotory behaviors. While this operant conditioning system is particularly useful for measuring the acquisition and maintenance of complex topographies, it also provides a more general and user friendly platform on which to develop novel paradigms for the study of learning and memory in animals. In this paper we describe the instrumentation and software developed, demonstrate the use of ACROBAT to shape a specific topography, and show how the system can be used to facilitate the study of arthritic pain in mice.

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Year:  2009        PMID: 19501618     DOI: 10.1016/j.jneumeth.2009.05.016

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  3 in total

1.  Mouse Social Interaction Test (MoST): a quantitative computer automated analysis of behavior.

Authors:  Panayotis K Thanos; Christophe Restif; Joseph R O'Rourke; Chiu Yin Lam; Dimitris Metaxas
Journal:  J Neural Transm (Vienna)       Date:  2015-12-24       Impact factor: 3.575

2.  Noninvasive dissection of mouse sleep using a piezoelectric motion sensor.

Authors:  Farid Yaghouby; Kevin D Donohue; Bruce F O'Hara; Sridhar Sunderam
Journal:  J Neurosci Methods       Date:  2015-11-12       Impact factor: 2.390

3.  Quick, Accurate, Smart: 3D Computer Vision Technology Helps Assessing Confined Animals' Behaviour.

Authors:  Shanis Barnard; Simone Calderara; Simone Pistocchi; Rita Cucchiara; Michele Podaliri-Vulpiani; Stefano Messori; Nicola Ferri
Journal:  PLoS One       Date:  2016-07-14       Impact factor: 3.240

  3 in total

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