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Updated: Jul 14, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
A capacitively coupled heterogeneous memristor system exhibiting coexisting chaotic and spiking dynamics
Jintong Bai1, Yinghong Cao1, Xianying Xu1
1School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China.
None:
This paper investigates the complex dynamic patterns of heterogeneous neuron interactions in neuromorphic computing. A heterogeneous coupled neuron system based on N-type (voltage-controlled) and S-type (current-controlled) memristors with distinct characteristics is constructed and analyzed. First, by establishing small-signal linearized models for both memristor types, the local activity properties and stability boundaries of the system are thoroughly analyzed. Subsequently, a fourth-order nonlinear dynamical model is established using capacitance Cc as the coupling medium. Numerical simulations reveal that the system exhibits rich dynamical behavior under the joint modulation of bias current and coupling capacitance, including a typical "periodic-chaotic-periodic" evolution path from periodic oscillations to chaotic states. Notably, a large-small alternating-discharge phenomenon was observed within the strong coupling regime. Quantitative analysis of the coupling current, instantaneous capacitor power, and local eigenvalue evolution indicates that this alternation is not adequately explained by a local Hopf transition alone. Instead, it is associated with event-level energy redistribution triggered by the coupling capacitor between successive discharge events. Beyond enriching the nonlinear theory of heterogeneous memristive systems, this study provides physical insights for the control of spatiotemporal dynamics in brain-inspired hardware circuits.
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