Calimera, Andrea and Macii, Enrico and Poncino, Massimo (2013) The Human Brain Project and neuromorphic computing. Functional Neurology, 28 (3). pp. 191-196. ISSN 1971-3274
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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, 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | analog hardware, digital hardware, high-performance computing, neural networks, neural models, neuromorphic computing |
| Subjects: | 600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici) |
| Depositing User: | Marina Spanti |
| Date Deposited: | 17 Dec 2015 13:34 |
| Last Modified: | 17 Dec 2015 13:34 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/10895 |
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