Modern Physics Letters B, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 18, 2024

Involvement of memristive term and additive physical variables including magnetic flux charge can enhance the description biophysical neurons. Neural circuits coupled with memristors be built tamed to mimic intrinsic characteristics dynamical properties biological neurons, these oscillator models are effective in predicting mode transition neural activities self-organization collective electric behaviors networks. Any proposal map neurons requires reliable description. For example, energy definition self-adaptive working mechanism crucial verify reliability maps. A capacitive variable is useful describe membrane potential, while complexity ion channels careful evaluation by using inductive relative electromagnetic field. In this work, a charge-controlled memristor connected an inductor series for building hybrid channel, then capacitor nonlinear resistor combined couple channel. As result, simple circuit designed discern inner effect field synchronously. The function defined verified theoretical proof. Furthermore, linear transformation applied convert neuron into exact description, which its dynamics will controlled adaptive law when beyond threshold. Additive noise imposed induce coherence resonance, detected statistical analysis average value Hamilton during changes intensity. This scheme provides guidance maps regulation explained from aspects.

Language: Английский