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Updated: Aug 11, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Artificial synapse based on 1,4-diphenylbutadiyne with femtojoule energy consumption
Jiesong Liu1, Zhengjie Li1, Caihong Jia1
1Henan Key Laboratory of Photovoltaic Materials, Center for Topological Functional Materials, Henan University, Kaifeng 475004, People's Republic of China. chjia@henu.edu.cn.
Abstract:
Memristors as electronic artificial synapses have attracted increasing attention in neuromorphic computing. Especially, organic small molecule artificial synapses show great promise for low-energy neuromorphic devices. In this study, the basic functions of biological synapses including paired-pulse facilitation/paired-pulse depression (PPF/PPD), spike rate-dependent plasticity (SRDP) and fast Bienenstock-Cooper-Munro learning rules (BCM) have been successfully simulated in the 1,4-diphenylbutadiyne (DPDA) memristor device. Furthermore, ultra-low energy consumption (∼25 fJ per spike), linear and large conductance changes have been obtained in the small molecule DPDA device. This work makes a great contribution to improve the accuracy, speed and to reduce the energy consumption for neuromorphic computing.
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