Reliability Analysis of Memristive Reservoir Computing Architecture-Reference-Cited by-同舟云学术

Reliability Analysis of Memristive Reservoir Computing Architecture

Published:2023-06-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Great Lakes Symposium on VLSI 2023
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Author:

Rathore Manu¹^ORCID,Febbo Rocco¹^ORCID,Foshie Adam¹^ORCID,Tushar S. N. B.¹^ORCID,Das Hritom¹^ORCID,Rose Garrett S.¹^ORCID

Affiliation:

1. The University of Tennessee, Knoxville, TN, USA

Funder

Air Force Research Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583781.3590210

Reference30 articles.

1. Robust deep reservoir computing through reliable memristor with improved heat dissipation capability;Hongyu An;IEEE Transactions on Computer- Aided Design of Integrated Circuits and Systems,2020

2. Guillaume Bellec et al. 2020. A solution to the learning dilemma for recurrent networks of spiking neurons. Nature communications 11 1 (2020) 3625. Guillaume Bellec et al. 2020. A solution to the learning dilemma for recurrent networks of spiking neurons. Nature communications 11 1 (2020) 3625.

3. Spiking Neural Networks Hardware Implementations and Challenges

4. Variation-tolerant Computing with Memristive Reservoirs

5. Memristor-The missing circuit element

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