Neuro-inspired Information Processing
1st Edition
Published on 31. March 2020
240 pages
978-1-119-72179-6 (ISBN)
Description
With the end of Moore's law and the emergence of new application needs such as those of the Internet of Things (IoT) or artificial intelligence (AI), neuro-inspired, or neuromorphic, information processing is attracting more and more attention from the scientific community.
Its principle is to emulate in a simplified way the formidable machine to process information which is the brain, with neurons and artificial synapses organized in network. These networks can be software and therefore implemented in the form of a computer program but also hardware and produced by nanoelectronic circuits. The material path allows very low energy consumption, and the possibility of faithfully reproducing the shape and dynamics of the action potentials of living neurons (biomimetic approach) or even being up to a thousand times faster (high frequency approach). This path is promising and welcomed by the major manufacturers of nanoelectronics, as circuits can now today integrate several million neurons and artificial synapses.
Its principle is to emulate in a simplified way the formidable machine to process information which is the brain, with neurons and artificial synapses organized in network. These networks can be software and therefore implemented in the form of a computer program but also hardware and produced by nanoelectronic circuits. The material path allows very low energy consumption, and the possibility of faithfully reproducing the shape and dynamics of the action potentials of living neurons (biomimetic approach) or even being up to a thousand times faster (high frequency approach). This path is promising and welcomed by the major manufacturers of nanoelectronics, as circuits can now today integrate several million neurons and artificial synapses.
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04/2020
Wiley
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Alain Cappy
Neuro-inspired Information Processing
Book
03/2020
1st Edition
Wiley-ISTE
€164.50
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Person
Alain Cappy is Professor Emeritus at the University of Lille, France. His research activities first concerned the design, manufacture and characterization of high frequency micro- and nanodevices. Since 2010, he has been working on neuro-inspired information processing architectures.
Content
1. Information Processing. 2. Information Processing in the Living. 3. Neurons and Synapses. 4. Artificial Neural Networks.
