Literature DB >> 35418630

Brain-inspired computing needs a master plan.

A Mehonic1, A J Kenyon2.   

Abstract

New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche of unstructured and noisy data that we are generating at an ever-increasing rate. To realize this promise requires a brave and coordinated plan to bring together disparate research communities and to provide them with the funding, focus and support needed. We have done this in the past with digital technologies; we are in the process of doing it with quantum technologies; can we now do it for brain-inspired computing?
© 2022. Springer Nature Limited.

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Year:  2022        PMID: 35418630     DOI: 10.1038/s41586-021-04362-w

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  14 in total

1.  A quantitative description of membrane current and its application to conduction and excitation in nerve.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

2.  Towards artificial general intelligence with hybrid Tianjic chip architecture.

Authors:  Jing Pei; Lei Deng; Sen Song; Mingguo Zhao; Youhui Zhang; Shuang Wu; Guanrui Wang; Zhe Zou; Zhenzhi Wu; Wei He; Feng Chen; Ning Deng; Si Wu; Yu Wang; Yujie Wu; Zheyu Yang; Cheng Ma; Guoqi Li; Wentao Han; Huanglong Li; Huaqiang Wu; Rong Zhao; Yuan Xie; Luping Shi
Journal:  Nature       Date:  2019-07-31       Impact factor: 49.962

3.  Power-efficient neural network with artificial dendrites.

Authors:  Xinyi Li; Jianshi Tang; Qingtian Zhang; Bin Gao; J Joshua Yang; Sen Song; Wei Wu; Wenqiang Zhang; Peng Yao; Ning Deng; Lei Deng; Yuan Xie; He Qian; Huaqiang Wu
Journal:  Nat Nanotechnol       Date:  2020-06-29       Impact factor: 39.213

4.  Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition.

Authors:  Runchun Wang; Chetan Singh Thakur; Gregory Cohen; Tara Julia Hamilton; Jonathan Tapson; Andre van Schaik
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2017-05-19       Impact factor: 3.833

5.  A 0.086-mm 2 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS.

Authors:  Charlotte Frenkel; Martin Lefebvre; Jean-Didier Legat; David Bol
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-11-09       Impact factor: 3.833

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

Authors:  Paul A Merolla; John V Arthur; Rodrigo Alvarez-Icaza; Andrew S Cassidy; Jun Sawada; Filipp Akopyan; Bryan L Jackson; Nabil Imam; Chen Guo; Yutaka Nakamura; Bernard Brezzo; Ivan Vo; Steven K Esser; Rathinakumar Appuswamy; Brian Taba; Arnon Amir; Myron D Flickner; William P Risk; Rajit Manohar; Dharmendra S Modha
Journal:  Science       Date:  2014-08-07       Impact factor: 47.728

7.  A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).

Authors:  Saber Moradi; Ning Qiao; Fabio Stefanini; Giacomo Indiveri
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-02       Impact factor: 3.833

8.  Neuromorphic silicon neuron circuits.

Authors:  Giacomo Indiveri; Bernabé Linares-Barranco; Tara Julia Hamilton; André van Schaik; Ralph Etienne-Cummings; Tobi Delbruck; Shih-Chii Liu; Piotr Dudek; Philipp Häfliger; Sylvie Renaud; Johannes Schemmel; Gert Cauwenberghs; John Arthur; Kai Hynna; Fopefolu Folowosele; Sylvain Saighi; Teresa Serrano-Gotarredona; Jayawan Wijekoon; Yingxue Wang; Kwabena Boahen
Journal:  Front Neurosci       Date:  2011-05-31       Impact factor: 4.677

9.  A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses.

Authors:  Ning Qiao; Hesham Mostafa; Federico Corradi; Marc Osswald; Fabio Stefanini; Dora Sumislawska; Giacomo Indiveri
Journal:  Front Neurosci       Date:  2015-04-29       Impact factor: 4.677

Review 10.  Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain.

Authors:  Chetan Singh Thakur; Jamal Lottier Molin; Gert Cauwenberghs; Giacomo Indiveri; Kundan Kumar; Ning Qiao; Johannes Schemmel; Runchun Wang; Elisabetta Chicca; Jennifer Olson Hasler; Jae-Sun Seo; Shimeng Yu; Yu Cao; André van Schaik; Ralph Etienne-Cummings
Journal:  Front Neurosci       Date:  2018-12-03       Impact factor: 4.677

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  1 in total

1.  Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging.

Authors:  Ernst Wellnhofer
Journal:  Front Cardiovasc Med       Date:  2022-07-22
  1 in total

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