TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip

The new era of cognitive computing brings forth the grand challenge of developing systems capable of processing massive amounts of noisy multisensory data. This type of intelligent computing poses a set of constraints, including real-time operation, low-power consumption and scalability, which requi...

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Bibliographic Details
Published in:	IEEE transactions on computer-aided design of integrated circuits and systems Vol. 34; no. 10; pp. 1537 - 1557
Main Authors:	Akopyan, Filipp, Sawada, Jun, Cassidy, Andrew, Alvarez-Icaza, Rodrigo, Arthur, John, Merolla, Paul, Imam, Nabil, Nakamura, Yutaka, Datta, Pallab, Gi-Joon Nam, Taba, Brian, Beakes, Michael, Brezzo, Bernard, Kuang, Jente B., Manohar, Rajit, Risk, William P., Jackson, Bryan, Modha, Dharmendra S.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Architecture Biological neural networks Computer architecture Design Nerve fibers Neural networks Real-time systems Synchronization design methodology parallel architectures neural network hardware asynchronous communication neural networks neuromorphics Asynchronous circuits design automation very large-scale integration real-time systems synchronous circuits low-power electronics image recognition logic design
ISSN:	0278-0070, 1937-4151
Online Access:	Get full text
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