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Spiking Brain Models: Computation, Memory and Communication Constraints for Custom Hardware Implementation
Stockholm University, Faculty of Science, Numerical Analysis and Computer Science (NADA).
2014 (English)In: 2014 19th Asia and South Pacific Design Automation Conference (ASP DAC), IEEE Computer Society, 2014, 556-562 p.Conference paper, Published paper (Refereed)
Abstract [en]

We estimate the computational capacity required to simulate in real time the neural information processing in the human brain. We show that the computational demands of a detailed implementation are beyond reach of current technology, but that some biologically plausible reductions of problem complexity can give performance gains between two and six orders of magnitude, which put implementations within reach of tomorrow's technology.

Place, publisher, year, edition, pages
IEEE Computer Society, 2014. 556-562 p.
Series
Asia and South Pacific Design Automation Conference Proceedings, ISSN 2153-6961
National Category
Information Systems
Identifiers
URN: urn:nbn:se:su:diva-116695ISI: 000350791700101ISBN: 978-1-4799-2816-3 (print)OAI: oai:DiVA.org:su-116695DiVA: diva2:807394
Conference
19th Asia and South Pacific Design Automation Conference (ASP-DAC), Jan 20-23, 2014, Suntec, Singapore
Note

AuthorCount:3;

Available from: 2015-04-23 Created: 2015-04-23 Last updated: 2015-04-23Bibliographically approved

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CiteExportLink to record
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