Real-Time State Modulation and Acquisition Circuit in Neuromorphic Memristive Systems
Shengbo Wang, Cong Li, Tongming Pu, Jian Zhang, Weihao Ma, Luigi, Occhipinti, Arokia Nathan, Shuo Gao

TL;DR
This paper presents a dual-function circuit for memristive neuromorphic systems that enables real-time state modulation and acquisition, reducing delays and improving stability in emulating human perception.
Contribution
A novel circuit design that simultaneously modulates and acquires memristor states, enhancing real-time performance in neuromorphic applications.
Findings
Achieves mean absolute acquisition errors below 1 Ω in tests
Demonstrates stable operation in memristor-based nociceptor and crossbar
Operates effectively at different scales for various applications
Abstract
Memristive neuromorphic systems are designed to emulate human perception and cognition, where the memristor states represent essential historical information to perform both low-level and high-level tasks. However, current systems face challenges with the separation of state modulation and acquisition, leading to undesired time delays that impact real-time performance. To overcome this issue, we introduce a dual-function circuit that concurrently modulates and acquires memristor state information. This is achieved through two key features: 1) a feedback operational amplifier (op-amp) based circuit that ensures precise voltage application on the memristor while converting the passing current into a voltage signal; 2) a division calculation circuit that acquires state information from the modulation voltage and the converted voltage, improving stability by leveraging the intrinsic…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · CCD and CMOS Imaging Sensors · Neural dynamics and brain function
