Literature DB >> 25104385

Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface.

Paul A Merolla1, John V Arthur1, Rodrigo Alvarez-Icaza1, Andrew S Cassidy1, Jun Sawada2, Filipp Akopyan1, Bryan L Jackson1, Nabil Imam3, Chen Guo4, Yutaka Nakamura5, Bernard Brezzo6, Ivan Vo2, Steven K Esser1, Rathinakumar Appuswamy1, Brian Taba1, Arnon Amir1, Myron D Flickner1, William P Risk1, Rajit Manohar7, Dharmendra S Modha8.   

Abstract

Inspired by the brain's structure, we have developed an efficient, scalable, and flexible non-von Neumann architecture that leverages contemporary silicon technology. To demonstrate, we built a 5.4-billion-transistor chip with 4096 neurosynaptic cores interconnected via an intrachip network that integrates 1 million programmable spiking neurons and 256 million configurable synapses. Chips can be tiled in two dimensions via an interchip communication interface, seamlessly scaling the architecture to a cortexlike sheet of arbitrary size. The architecture is well suited to many applications that use complex neural networks in real time, for example, multiobject detection and classification. With 400-pixel-by-240-pixel video input at 30 frames per second, the chip consumes 63 milliwatts.
Copyright © 2014, American Association for the Advancement of Science.

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Mesh:

Year:  2014        PMID: 25104385     DOI: 10.1126/science.1254642

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  245 in total

1.  Magnetization switching by spin-orbit torque in an antiferromagnet-ferromagnet bilayer system.

Authors:  Shunsuke Fukami; Chaoliang Zhang; Samik DuttaGupta; Aleksandr Kurenkov; Hideo Ohno
Journal:  Nat Mater       Date:  2016-02-15       Impact factor: 43.841

2.  Brian 2, an intuitive and efficient neural simulator.

Authors:  Romain Brette; Dan Fm Goodman; Marcel Stimberg
Journal:  Elife       Date:  2019-08-20       Impact factor: 8.140

Review 3.  Systems biology approach to developing S(2)RM-based "systems therapeutics" and naturally induced pluripotent stem cells.

Authors:  Greg Maguire; Peter Friedman
Journal:  World J Stem Cells       Date:  2015-05-26       Impact factor: 5.326

4.  Artificial intelligence accelerated by light.

Authors:  Huaqiang Wu; Qionghai Dai
Journal:  Nature       Date:  2021-01       Impact factor: 49.962

5.  Design and characterization of a nanopore-coupled polymerase for single-molecule DNA sequencing by synthesis on an electrode array.

Authors:  P Benjamin Stranges; Mirkó Palla; Sergey Kalachikov; Jeff Nivala; Michael Dorwart; Andrew Trans; Shiv Kumar; Mintu Porel; Minchen Chien; Chuanjuan Tao; Irina Morozova; Zengmin Li; Shundi Shi; Aman Aberra; Cleoma Arnold; Alexander Yang; Anne Aguirre; Eric T Harada; Daniel Korenblum; James Pollard; Ashwini Bhat; Dmitriy Gremyachinskiy; Arek Bibillo; Roger Chen; Randy Davis; James J Russo; Carl W Fuller; Stefan Roever; Jingyue Ju; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-11       Impact factor: 11.205

6.  Energy-efficient neural network chips approach human recognition capabilities.

Authors:  Wolfgang Maass
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-04       Impact factor: 11.205

7.  Stochastic phase-change neurons.

Authors:  Tomas Tuma; Angeliki Pantazi; Manuel Le Gallo; Abu Sebastian; Evangelos Eleftheriou
Journal:  Nat Nanotechnol       Date:  2016-05-16       Impact factor: 39.213

8.  Convolutional networks for fast, energy-efficient neuromorphic computing.

Authors:  Steven K Esser; Paul A Merolla; John V Arthur; Andrew S Cassidy; Rathinakumar Appuswamy; Alexander Andreopoulos; David J Berg; Jeffrey L McKinstry; Timothy Melano; Davis R Barch; Carmelo di Nolfo; Pallab Datta; Arnon Amir; Brian Taba; Myron D Flickner; Dharmendra S Modha
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-20       Impact factor: 11.205

9.  Exploiting Lightweight Statistical Learning for Event-Based Vision Processing.

Authors:  Cong Shi; Jiajun Li; Ying Wang; Gang Luo
Journal:  IEEE Access       Date:  2018-04-04       Impact factor: 3.367

Review 10.  Code Generation in Computational Neuroscience: A Review of Tools and Techniques.

Authors:  Inga Blundell; Romain Brette; Thomas A Cleland; Thomas G Close; Daniel Coca; Andrew P Davison; Sandra Diaz-Pier; Carlos Fernandez Musoles; Padraig Gleeson; Dan F M Goodman; Michael Hines; Michael W Hopkins; Pramod Kumbhar; David R Lester; Bóris Marin; Abigail Morrison; Eric Müller; Thomas Nowotny; Alexander Peyser; Dimitri Plotnikov; Paul Richmond; Andrew Rowley; Bernhard Rumpe; Marcel Stimberg; Alan B Stokes; Adam Tomkins; Guido Trensch; Marmaduke Woodman; Jochen Martin Eppler
Journal:  Front Neuroinform       Date:  2018-11-05       Impact factor: 4.081

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