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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)
- KTH,Beräkningsbiologi, CB
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- Hemani, Ahmed (författare)
- KTH,Elektroniksystem
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- Farahini, Nasim (författare)
- KTH,Elektroniksystem
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(creator_code:org_t)
- IEEE, 2014
- 2014
- Engelska.
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Ingår i: 2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC). - : IEEE. - 9781479928163 ; , s. 556-562
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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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
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Nyckelord
- Communication constraints
- Computational capacity
- Computational demands
- Current technology
- Neural information processing
- Orders of magnitude
- Performance Gain
- Problem complexity
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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