Literature DB >> 24139655

The Human Brain Project and neuromorphic computing.

Andrea Calimera, Enrico Macii, Massimo Poncino.   

Abstract

Understanding how the brain manages billions of processing units connected via kilometers of fibers and trillions of synapses, while consuming a few tens of Watts could provide the key to a completely new category of hardware (neuromorphic computing systems). In order to achieve this, a paradigm shift for computing as a whole is needed, which will see it moving away from current "bit precise" computing models and towards new techniques that exploit the stochastic behavior of simple, reliable, very fast, lowpower computing devices embedded in intensely recursive architectures. In this paper we summarize how these objectives will be pursued in the Human Brain Project.

Entities:  

Mesh:

Year:  2013        PMID: 24139655      PMCID: PMC3812737          DOI: 10.11138/FNeur/2013.28.3.191

Source DB:  PubMed          Journal:  Funct Neurol        ISSN: 0393-5264


  6 in total

1.  Modeling selective attention using a neuromorphic analog VLSI device.

Authors:  G Indiveri
Journal:  Neural Comput       Date:  2000-12       Impact factor: 2.026

2.  The perceptron: a probabilistic model for information storage and organization in the brain.

Authors:  F ROSENBLATT
Journal:  Psychol Rev       Date:  1958-11       Impact factor: 8.934

Review 3.  Neural systems engineering.

Authors:  Steve Furber; Steve Temple
Journal:  J R Soc Interface       Date:  2007-04-22       Impact factor: 4.118

Review 4.  Realistic modeling of neurons and networks: towards brain simulation.

Authors:  Egidio D'Angelo; Sergio Solinas; Jesus Garrido; Claudia Casellato; Alessandra Pedrocchi; Jonathan Mapelli; Daniela Gandolfi; Francesca Prestori
Journal:  Funct Neurol       Date:  2013 Jul-Sep

Review 5.  Seven challenges for neuroscience.

Authors:  Henry Markram
Journal:  Funct Neurol       Date:  2013 Jul-Sep

6.  Multiprocessor and memory architecture of the neurocomputer SYNAPSE-1.

Authors:  U Ramacher; W Raab; J Anlauf; U Hachmann; J Beichter; N Brüls; M Wesseling; E Sicheneder; R Männer; J Glass
Journal:  Int J Neural Syst       Date:  1993-12       Impact factor: 5.866

  6 in total
  5 in total

Review 1.  Realistic modeling of neurons and networks: towards brain simulation.

Authors:  Egidio D'Angelo; Sergio Solinas; Jesus Garrido; Claudia Casellato; Alessandra Pedrocchi; Jonathan Mapelli; Daniela Gandolfi; Francesca Prestori
Journal:  Funct Neurol       Date:  2013 Jul-Sep

Review 2.  The connectomics challenge.

Authors:  Ludovico Silvestri; Leonardo Sacconi; Francesco Saverio Pavone
Journal:  Funct Neurol       Date:  2013 Jul-Sep

Review 3.  Brain investigation and brain conceptualization.

Authors:  Alberto Redolfi; Paolo Bosco; David Manset; Giovanni B Frisoni
Journal:  Funct Neurol       Date:  2013 Jul-Sep

4.  ED-BioRob: A Neuromorphic Robotic Arm With FPGA-Based Infrastructure for Bio-Inspired Spiking Motor Controllers.

Authors:  Alejandro Linares-Barranco; Fernando Perez-Peña; Angel Jimenez-Fernandez; Elisabetta Chicca
Journal:  Front Neurorobot       Date:  2020-11-30       Impact factor: 2.650

5.  Superlow Power Consumption Artificial Synapses Based on WSe2 Quantum Dots Memristor for Neuromorphic Computing.

Authors:  Zhongrong Wang; Wei Wang; Pan Liu; Gongjie Liu; Jiahang Li; Jianhui Zhao; Zhenyu Zhou; Jingjuan Wang; Yifei Pei; Zhen Zhao; Jiaxin Li; Lei Wang; Zixuan Jian; Yichao Wang; Jianxin Guo; Xiaobing Yan
Journal:  Research (Wash D C)       Date:  2022-09-13
  5 in total

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