A biomimetic optoelectronic memristor that mimics the human vision system

Ziyu Lv; Su Ting Han; Ye Zhou

doi:10.1016/j.device.2024.100552

A biomimetic optoelectronic memristor that mimics the human vision system

Ziyu Lv
, Su Ting Han
, Ye Zhou (Corresponding Author)

The Hong Kong Polytechnic University

Research output: Journal article publication › Comment/debate/erratum

Abstract

The demand for visual perception capabilities in computers is driving innovation in AI and robotics. A recent paper in Cell Reports Physical Science by Kumar and co-workers¹ presents an optoelectronic memristor with functions of learning, memory, and motion detection, furthering the development of energy-efficient, high-performance neuromorphic vision systems.

Original language	English
Article number	100552
Journal	Device
Volume	2
Issue number	10
DOIs	https://doi.org/10.1016/j.device.2024.100552
Publication status	Published - 18 Oct 2024

ASJC Scopus subject areas

Engineering (miscellaneous)
Condensed Matter Physics

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10.1016/j.device.2024.100552

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title = "A biomimetic optoelectronic memristor that mimics the human vision system",

abstract = "The demand for visual perception capabilities in computers is driving innovation in AI and robotics. A recent paper in Cell Reports Physical Science by Kumar and co-workers1 presents an optoelectronic memristor with functions of learning, memory, and motion detection, furthering the development of energy-efficient, high-performance neuromorphic vision systems.",

author = "Ziyu Lv and Han, \{Su Ting\} and Ye Zhou",

note = "Publisher Copyright: {\textcopyright} 2024 Elsevier Inc.",

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AU - Lv, Ziyu

AU - Han, Su Ting

AU - Zhou, Ye

PY - 2024/10/18

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N2 - The demand for visual perception capabilities in computers is driving innovation in AI and robotics. A recent paper in Cell Reports Physical Science by Kumar and co-workers1 presents an optoelectronic memristor with functions of learning, memory, and motion detection, furthering the development of energy-efficient, high-performance neuromorphic vision systems.

AB - The demand for visual perception capabilities in computers is driving innovation in AI and robotics. A recent paper in Cell Reports Physical Science by Kumar and co-workers1 presents an optoelectronic memristor with functions of learning, memory, and motion detection, furthering the development of energy-efficient, high-performance neuromorphic vision systems.

UR - https://www.scopus.com/pages/publications/85207703434

U2 - 10.1016/j.device.2024.100552

DO - 10.1016/j.device.2024.100552

M3 - Comment/debate/erratum

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ER -

A biomimetic optoelectronic memristor that mimics the human vision system

Abstract

ASJC Scopus subject areas

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