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Pavlovian conditioning demonstrated with neuromorphic memristive devices.
Tan, Zheng-Hua; Yin, Xue-Bing; Yang, Rui; Mi, Shao-Bo; Jia, Chun-Lin; Guo, Xin.
  • Tan ZH; Laboratory of Solid State Ionics, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China.
  • Yin XB; Laboratory of Solid State Ionics, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China.
  • Yang R; Laboratory of Solid State Ionics, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China. yangrui@hust.edu.cn.
  • Mi SB; State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, 710049, P.R. China.
  • Jia CL; School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, P.R. China.
  • Guo X; Peter Grünberg Institute and Ernst Ruska Center for Microscopy and Spectroscopy with Electrons, Forschungszentrum Jülich, D-52425, Jülich, Germany.
Sci Rep ; 7(1): 713, 2017 04 06.
Article en En | MEDLINE | ID: mdl-28386075
Pavlovian conditioning, a classical case of associative learning in a biological brain, is demonstrated using the Ni/Nb-SrTiO3/Ti memristive device with intrinsic forgetting properties in the framework of the asymmetric spike-timing-dependent plasticity of synapses. Three basic features of the Pavlovian conditioning, namely, acquisition, extinction and recovery, are implemented in detail. The effects of the temporal relation between conditioned and unconditioned stimuli as well as the time interval between individual training trials on the Pavlovian conditioning are investigated. The resulting change of the response strength, the number of training trials necessary for acquisition and the number of extinction trials are illustrated. This work clearly demonstrates the hardware implementation of the brain function of the associative learning.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje por Asociación / Encéfalo / Condicionamiento Clásico / Electrónica / Modelos Teóricos Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje por Asociación / Encéfalo / Condicionamiento Clásico / Electrónica / Modelos Teóricos Idioma: En Año: 2017 Tipo del documento: Article