The Human Brain Project and neuromorphic computing

被引:82
作者
Calimera, Andrea [1 ]
Macii, Enrico [1 ]
Poncino, Massimo [1 ]
机构
[1] Politecn Torino, Dept Control & Comp Engn, Turin, Italy
关键词
analog hardware; digital hardware; high-performance computing; neural networks; neural models; neuromorphic computing;
D O I
10.11138/FNeur/2013.28.3.191
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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, low-power computing devices embedded in intensely recursive architectures. In this paper we summarize how these objectives will be pursued in the Human Brain Project.
引用
收藏
页码:191 / 196
页数:6
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