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ORIGINAL RESEARCH article

Front. Neurosci.
Sec. Neuromorphic Engineering
Volume 18 - 2024 | doi: 10.3389/fnins.2024.1467935
This article is part of the Research Topic Novel Memristor-Based Devices and Circuits for Neuromorphic and AI Applications Volume II View all articles

NEIR: A Neuromorphic Event Data Interpretation Approach with Hardware Reservoir

Provisionally accepted
  • King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

The final, formatted version of the article will be published soon.

    Event cameras have shown unprecedented success in various computer vision applications due to their unique ability to capture dynamic scenes with high temporal resolution and low latency. However, many existing approaches for event data representation are typically algorithmbased, limiting their utilization and hardware deployment. This paper explores a hardware event representation approach for event data utilizing a reservoir encoder implemented with analog memristor. The inherent stochastic and nonlinear characteristics of the memristors enable the effective and low-cost feature extraction of temporal information from event streams as a reservoir encoder. We propose a simplified memristor model and memristor-based reservoir circuit specifically for processing dynamic visual information and extracting feature in event data.Experimental results with four event datasets demonstrate that our approach achieves superior accuracy over other methods, highlighting the potential of memristor-based event processing system.

    Keywords: Memristor, reservoir computing, event representation, SNN, neuromorphic computing

    Received: 21 Jul 2024; Accepted: 23 Oct 2024.

    Copyright: © 2024 Li, Kumar and El-Atab. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Nazek El-Atab, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.