Simulating Synaptic Behaviors through Frequency Modulation in a Capacitor–Memristor Circuit

Memristors, known for their adjustable and non-volatile resistance, offer a promising avenue for emulating synapses. However, achieving pulse frequency-dependent synaptic plasticity in memristors or memristive systems necessitates further exploration. In this study, we present a novel approach to mo...

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Bibliographic Details
Main Authors: Kuibo Yin, Jingcang Li, Yuwei Xiong, Mingyun Zhu, Zhiyuan Tan, Zhanrui Jin
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/14/11/2014
Description
Summary:Memristors, known for their adjustable and non-volatile resistance, offer a promising avenue for emulating synapses. However, achieving pulse frequency-dependent synaptic plasticity in memristors or memristive systems necessitates further exploration. In this study, we present a novel approach to modulate the conductance of a memristor in a capacitor–memristor circuit by finely tuning the frequency of input pulses. Our experimental results demonstrate that these phenomena align with the long-term depression (LTD) and long-term potentiation (LTP) observed in synapses, which are induced by the frequency of action potentials. Additionally, we successfully implement a Hebbian-like learning mechanism in a simple circuit that connects a pair of memristors to a capacitor, resulting in observed associative memory formation and forgetting processes. Our findings highlight the potential of capacitor–memristor circuits in faithfully replicating the frequency-dependent behavior of synapses, thereby offering a valuable contribution to the development of brain-inspired neural networks.
ISSN:2072-666X