Energy and self-adaption in a memristive map neuron

J Jia, C Wang, X Zhang, Z Zhu - Chaos, Solitons & Fractals, 2024 - Elsevier
Both capacitor and charge-controlled memristor (CCM) can regulate the inner energy levels
during the release and accumulation of charges in these electronic components …

A discrete memristive neuron and its adaptive dynamics

Y Li, M Lv, J Ma, X Hu - Nonlinear Dynamics, 2024 - Springer
Capacitive membrane and inductive channels enable the approach of neural activities in
some equivalent neural circuits, and involvement of memristive term and magnetic flux can …

An adaptive energy regulation in a memristive map linearized from a circuit with two memristive channels

F Yang, P Zhou, J Ma - Communications in Theoretical Physics, 2024 - iopscience.iop.org
Nonlinear circuits can show multistability when a magnetic flux-dependent memristor
(MFDM) or a charge-sensitive memristor (CSM) is incorporated into a one branch circuit …

Model approach of electromechanical arm interacted with neural circuit, a minireview

J Ma, Y Guo - Chaos, Solitons & Fractals, 2024 - Elsevier
Artificial neurons can be designed and excited to produce similar smart responses as
biological neurons driven by electromagnetic excitations. The interaction between cell …

Memristive oscillator to memristive map, energy characteristic

YT Guo, J Ma, XF Zhang, XK Hu - Science China Technological Sciences, 2024 - Springer
Most of nonlinear oscillators composed of capacitive and inductive variables can obtain the
Hamilton energy by using the Helmholtz theorem when the models are rewritten in …

Energy variation rate synchronization for coupled chaotic systems

Z Yao, K Sun, S He - Chaos, Solitons & Fractals, 2024 - Elsevier
There are currently two typical principles for chaotic synchronization, the Lyapunov stability
principle and the conditional Lyapunov exponent criterion. We describe an alternate chaos …

Dynamics and stability of neural systems with indirect interactions involved energy levels

Y Shao, F Wu, Q Wang - Chaos, Solitons & Fractals, 2024 - Elsevier
Dynamical modelling for neural systems with direct and indirect connections is to
understand how these connections contribute to neural dynamics. Despite recent findings …

Collective behaviors of neural network regulated by the spatially distributed stimuli

Y Xie, W Huang, Y Jia, Z Ye, Y Wu - Physica A: Statistical Mechanics and its …, 2024 - Elsevier
Most external stimuli, including sound, temperature, and illumination, exhibit spatially
heterogeneous, and different amplitudes of the same signal are received by neurons at …

Coexisting phenomena and antimonotonic evolution in a memristive Shinriki circuit

Y Cheng, F Min, L Xue, Y Xu - Chaos, Solitons & Fractals, 2024 - Elsevier
This paper is aimed at investigating the dynamical behaviors of the Shinriki circuit with a
grounded asymmetric diode-bridge-based memristor through the implicit mapping method …

Synchronization and complex dynamics in locally active threshold memristive neurons with chemical synapses

Y Shao, F Wu, Q Wang - Nonlinear Dynamics, 2024 - Springer
Memristor has been extensively employed to emulate neuron/synapse-inspired behaviors
and to characterize the electromagnetic induction generated by ionic flowing. A link between …