Graphene-Based Artificial Dendrites for Bio-Inspired Learning in Spiking Neuromorphic Systems-Reference-Cited by-同舟云学术

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Graphene-Based Artificial Dendrites for Bio-Inspired Learning in Spiking Neuromorphic Systems

Published:2024-05-31 Issue:24 Volume:24 Page:7211-7218
ISSN:1530-6984
Container-title:Nano Letters
language:en
Short-container-title:Nano Lett.

Author:

Liu Samuel¹²^ORCID,Akinwande Deji¹²^ORCID,Kireev Dmitry¹²³^ORCID,Incorvia Jean Anne C.¹²^ORCID

Affiliation:

1. Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States

2. Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States

3. Department of Biomedical Engineering, University of Massachusetts Amherst, Amherst, Massachusetts 01003, United States

Funder

National Science Foundation

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.nanolett.4c00739

Reference54 articles.

1. Artificial neural networks

2. What are artificial neural networks?

3. Hitting the memory wall

4. Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach?

5. Opportunities for neuromorphic computing algorithms and applications

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1. Synaptic Transistors Using Scalable Graphene Nanoribbons;The Journal of Physical Chemistry Letters;2024-08-26

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