The advancement of intelligent systems requires the exploration of efficient computational architectures based on emerging electronic computing devices and the effective simulation of biomimetic functions to enhance overall intelligence. Here we design a memristor-based circuit inspired by self-awareness, which can realize bionic adaptive decision-making effectively and more intelligently through mimicking habituation learning mechanisms. Memristors serve as underlying units in the circuit supporting the simulation of functions akin to biological neurons and synapses. These contribute to the implementation of functionalities such as information filtering, integration, and synaptic plasticity with concise circuit structures and efficient computing way. Experimental results indicate that our circuit is capable of supporting rapid and efficient information processing through in-memory analog computing and making more reasonable and intelligent adaptive decisions by integrating biomimetic mechanisms. Extending this work to further research on large-scale decision-making systems holds promise for application in intelligent platforms, aiming to achieve advanced cognitive capabilities.

Authors:

Zilu Wang: Harbin Institute Technology