Aloe Vera-Inspired Cognitive Computing: Unveiling the Power of Pavlovian Conditioning and Pattern Recognition with a Synaptic RRAM Device-Reference-Cited by-同舟云学术

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Aloe Vera-Inspired Cognitive Computing: Unveiling the Power of Pavlovian Conditioning and Pattern Recognition with a Synaptic RRAM Device

Published:2024-02-20 Issue:3 Volume:6 Page:1992-2002
ISSN:2637-6113
Container-title:ACS Applied Electronic Materials
language:en
Short-container-title:ACS Appl. Electron. Mater.

Author:

Jetty Prabana¹,Kannan Udaya Mohanan²^ORCID,Jammalamadaka Suryanarayana¹^ORCID

Affiliation:

1. Magnetic Materials and Device Physics Laboratory, Department of Physics, Indian Institute of Technology Hyderabad, Hyderabad 502 284, India

2. Department of Electronic Engineering, Gachon University, Seongnam-si, Gyeonggi-do 13120, Republic of Korea

Funder

Council of Scientific and Industrial Research, India

Science and Engineering Research Board

Indian Institute of Technology Hyderabad

Gachon University

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsaelm.4c00023

Reference56 articles.

1. Brain-inspired computing with resistive switching memory (RRAM): Devices, synapses and neural networks

2. Synaptic Computation Enabled by Joule Heating of Single-Layered Semiconductors for Sound Localization

3. Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing

4. Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

5. Magnetic tunnel junction device with perpendicular magnetization films for high-density magnetic random access memory

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