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Spiking Brain Models :
Spiking Brain Models : Computation, Memory and Communication Constraints for Custom Hardware Implementation
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- Lansner, Anders (författare)
- Stockholms universitet,Numerisk analys och datalogi (NADA)
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Hemani, Ahmed (författare)
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Farahini, Nasim (författare)
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(creator_code:org_t)
- IEEE Computer Society, 2014
- 2014
- Engelska.
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Ingår i: 2014 19th Asia and South Pacific Design Automation Conference (ASP DAC). - : IEEE Computer Society. - 9781479928163 ; , s. 556-562
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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