Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
DESIGN AND IMPLEMENTATION OF MEMRISTIVE NEURON LEAKAGE INTEGRATOR, AND LEARNING FEEDBACK
Form of presentationArticles in international journals and collections
Year of publication2021
Языканглийский
  • Zykov Evgeniy Yurevich, author
  • Talanov Maksim Olegovich, author
  • Bibliographic description in the original language Masaev D, Talanov M, Zykov E, Design and implementation of memristive neuron leakage integrator, and learning feedback // SIBCON 2021 - International Siberian Conference on Control and Communications. - 2021. - Vol., Is.. - Art. № 9438877.
    Annotation In this paper we present results of the simulation and physical implementation of eSTDP and iSTDP learning functions for memristive devices, bio-plausible neurons, and soma leakage integrator. The implementation of the STDP is implemented as memristive neuron schematic with excitatory, and inhibitory inputs. Wiring schematic for all cases as well as the simulatory experiments results are implemented in LTSpice simulator. The physical implementation is done via analog op-amps resistors and capacitors.
    Keywords bio-plausible electronic neuron, leakage integrator, learning feedback, neuromorphic computing, organic electronics
    The name of the journal SIBCON 2021 - International Siberian Conference on Control and Communications
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107690567&doi=10.1109%2fSIBCON50419.2021.9438877&partnerID=40&md5=676bec179fbf62cfb06c50ad2ea798b1
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=255085&p_lang=2

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