Coupling the FitzHugh-Nagumo Neuron Model with Memristive Synapse Structure in Neuromorphic Systems Nöromorfik Sistemlerde FitzHugh-Nagumo Nöron Modelinin Memristif Sinaps Yapisi ile Kuplajlanmasi

BARAN A. Y., Korkmaz N., KILIÇ R.

2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021, Elazığ, Türkiye, 6 - 08 Ekim 2021 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/asyu52992.2021.9599083
  • Basıldığı Şehir: Elazığ
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: coupling, FitzHugh-Nagumo neuron model, memristör, spike-time-dependent-plasticity
  • Erciyes Üniversitesi Adresli: Evet

Özet

© 2021 IEEE.In recent years, studies dealing with neuromorphic systems and STDP learning rule; the memristor element, which is introduced as the fourth basic circuit element, is associated with synapse definitions in neural systems. In this study, a pair of neurons defined by the FitzHugh-Nagumo (FHN) neuron model; instead of the classical synapse definitions, a proposed definition for the representation of the memristor element is combined with a configuration in which the synapse is used. The responses of the coupled FHN neurons were observed with numerical simulation results. The numerical results obtained as a result of this coupling process, in which the memristor identification is used, are interpreted by comparing them with the results obtained for the STDP learning rule.