Time Dependence of the Output Signal Morphology for Nonlinear Oscillator Neuron Based on Van der Pol Model | Zendy

Vasyl Lytvyn | Zendy; Victoria Vysotska | Zendy; Іван Пелещак | Zendy; Ihor Rishnyak | Zendy; Роман Пелещак | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Time Dependence of the Output Signal Morphology for Nonlinear Oscillator Neuron Based on Van der Pol Model

Author(s) -

Vasyl Lytvyn,

Victoria Vysotska,

Іван Пелещак,

Ihor Rishnyak,

Роман Пелещак

Publication year - 2018

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2018.04.02

Subject(s) - van der pol oscillator , signal (programming language) , nonlinear system , amplitude , computer science , neuron , biological neuron model , physics , statistical physics , optics , quantum mechanics , artificial intelligence , neuroscience , artificial neural network , programming language , biology

Time-frequency and time dependence of the output signal morphology of nonlinear oscillator neuron based on Van der Pol model using analytical and numerical methods were investigated. Threshold effect neuron, when it is exposed to external non-stationary signals that vary in shape, frequency and amplitude was considered.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research