Neuroscience-inspired information-integration system based on stochastic magnetic tunnel junctions-Reference-Cited by-同舟云学术

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Neuroscience-inspired information-integration system based on stochastic magnetic tunnel junctions

Published:2024-06-17 Issue:6 Volume:21 Page:
ISSN:2331-7019
Container-title:Physical Review Applied
language:en
Short-container-title:Phys. Rev. Applied

Author:

Zhao Li¹²²,Zhang Meiting³^ORCID,Zhang Yajun¹²²,Mi Yuanyuan⁴^ORCID,Yuan Zhe²²^ORCID,Xia Ke⁵

Affiliation:

1. Beijing Normal University

2. Fudan University

3. Chongqing University

4. Tsinghua University

5. Southeast University

Funder

National Natural Science Foundation of China

National Science and Technology Innovation 2030 Major Program

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevApplied.21.064040/fulltext

Reference57 articles.

1. Stochastic dynamics as a principle of brain function

2. On the stochastic dynamics of neuronal interaction

3. Neuronal Computations with Stochastic Network States

4. Stochastic Computations in Cortical Microcircuit Models

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