Investigation of rat exploratory behavior via evolving artificial neural networks.

Journal: Journal of neuroscience methods
PMID: 27328370

Abstract

BACKGROUND: Neuroevolution comprises the use of evolutionary computation to define the architecture and/or to train artificial neural networks (ANNs). This strategy has been employed to investigate the behavior of rats in the elevated plus-maze, which is a widely used tool for studying anxiety in mice and rats.

Authors

  • Ariadne de Andrade Costa
    Department of Physics, FFCLRP, University of São Paulo, 14040-901 Ribeirão Preto, SP, Brazil. Electronic address: ad.andrade.costa@gmail.com.
  • Renato Tinós
    Department of Computing and Mathematics, FFCLRP, University of São Paulo, 14040-901 Ribeirão Preto, SP, Brazil. Electronic address: rtinos@ffclrp.usp.br.

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