Special session on 'brain-targeted and brain-inspired computing'

Christos Strydis*

*Corresponding author for this work

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

Abstract

With the advent of diverse enabling technologies, brain-related research has, in recent years, been seriously amplified and has already started yielding impressive findings across various fronts. With respect to computing, these findings can be classified under two major categories: neuroinformatics and brain-inspired computing. By and large, neuroinformatics is the discipline, which conducts brain exploration chiefly through construction and evaluation of computational brain models. Conversely, brain-inspired computing strives to suitably migrate already understood brain mechanisms to non-biological systems in the hopes of building better, cheaper and/or smarter computing machines. Various challenges arise on each side of the spectrum, be it the need for executing increasingly accurate and massive brain models or the need for conceiving improved computer architectures for more efficient, brain-like computations.

Original languageEnglish
Title of host publicationProceedings - International Conference on Embedded Computer Systems
Subtitle of host publicationArchitectures, Modeling and Simulation, SAMOS 2014
EditorsAlexander V. Veidenbaum, Carlo Galuzzi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages358
Number of pages1
ISBN (Electronic)9781479937707
DOIs
Publication statusPublished - 2014
Event14th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014 - Samos, Greece
Duration: 14 Jul 201417 Jul 2014

Publication series

SeriesProceedings - International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014

Conference

Conference14th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014
Country/TerritoryGreece
CitySamos
Period14/07/1417/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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