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- Lansner, AndersStockholms universitet,Numerisk analys och datalogi (NADA) (author)
Spiking Brain Models : Computation, Memory and Communication Constraints for Custom Hardware Implementation
- Article/chapterEnglish2014
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- IEEE Computer Society,2014
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- LIBRIS-ID:oai:DiVA.org:su-116695
- https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-116695URI
- https://doi.org/10.1109/aspdac.2014.6742950DOI
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- Language:English
- Summary in:English
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- 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.
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- Hemani, Ahmed (author)
- Farahini, Nasim (author)
- Stockholms universitetNumerisk analys och datalogi (NADA) (creator_code:org_t)
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- In:2014 19th Asia and South Pacific Design Automation Conference (ASP DAC): IEEE Computer Society, s. 556-5629781479928163
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