Realizing avalanche criticality in neuromorphic networks on a 2D hBN platform-Reference-Cited by-同舟云学术

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Realizing avalanche criticality in neuromorphic networks on a 2D hBN platform

Published:2023 Issue:11 Volume:10 Page:5235-5245
ISSN:2051-6347
Container-title:Materials Horizons
language:en
Short-container-title:Mater. Horiz.

Author:

Rao Ankit¹^ORCID,Sanjay Sooraj¹^ORCID,Dey Vivek¹,Ahmadi Majid²^ORCID,Yadav Pramod¹^ORCID,Venugopalrao Anirudh¹^ORCID,Bhat Navakanta¹^ORCID,Kooi Bart²³,Raghavan Srinivasan¹,Nukala Pavan¹^ORCID

Affiliation:

1. Centre for Nano Science and Engineering, Indian Institute of Science, Bengaluru 560012, India

2. Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands

3. CogniGron Center, University of Groningen, Groningen, 9747 AG, The Netherlands

Abstract

Dual state stochastic spiking with avalanche criticality in a Ag-hBN system.

Funder

Science and Engineering Research Board

Department of Science and Technology, Ministry of Science and Technology, India

Ministry of Education, India

Ministry of Electronics and Information technology

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrical and Electronic Engineering,Process Chemistry and Technology,Mechanics of Materials,General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2023/MH/D3MH01000G

Reference60 articles.

1. Human-level control through deep reinforcement learning

2. W.Schultz , P.Dayan and P. R.Montague , A Neural Substrate of Prediction and Reward

3. Emergent complex neural dynamics

4. Self-selective van der Waals heterostructures for large scale memory array

5. A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications

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