Neural algorithms and computing beyond Moore's law-Reference-Cited by-同舟云学术

Neural algorithms and computing beyond Moore's law

Published:2019-03-20 Issue:4 Volume:62 Page:110-110
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Aimone James B.¹

Affiliation:

1. Sandia National Laboratories, Albuquerque, NM

Abstract

Advances in neurotechnologies are reigniting opportunities to bring neural computation insights into broader computing applications.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/3231589

Reference40 articles.

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2. Ahmad S. and Hawkins J. Properties of sparse distributed representations and their application to hierarchical temporal memory. arXiv:1503.07469. Ahmad S. and Hawkins J. Properties of sparse distributed representations and their application to hierarchical temporal memory. arXiv:1503.07469.

3. Association S.I. and Corporation S.R. Rebooting the IT Revolution: A Call to Action 2015. Association S.I. and Corporation S.R. Rebooting the IT Revolution: A Call to Action 2015.

4. Bargmann C. et al. BRAIN 2025: A scientific vision. Brain Research Through Advancing Innovative Neurotechnologies Working Group Report to the Advisory Committee to the Director NIH. U.S. National Institutes of Health 2014; http://www.nih.gov/science/brain/2025/. Bargmann C. et al. BRAIN 2025: A scientific vision. Brain Research Through Advancing Innovative Neurotechnologies Working Group Report to the Advisory Committee to the Director NIH. U.S. National Institutes of Health 2014; http://www.nih.gov/science/brain/2025/.

5. Bouchard K.E. et al. High-performance computing in neuroscience for data-driven discovery integration and dissemination. Neuron 92 3 628--631. Bouchard K.E. et al. High-performance computing in neuroscience for data-driven discovery integration and dissemination. Neuron 92 3 628--631.

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