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A Multicore Neuromorphic Chip Design Using Multilevel Synapses in 65nm Standard CMOS Technolog

Posted on:2016-08-31Degree:M.SType:Thesis
University:University of MinnesotaCandidate:Tagare, Deepak Kumar ShivsharnappaFull Text:PDF
GTID:2478390017480559Subject:Electrical engineering
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Neuromorphic research community is focused on designing a hardware which is as efficient as biological brain in terms of performance, power and area. It opens up opportunities to optimize these designs at all levels from architecture to devices. We propose a novel architecture to have tight integration between neurons and synapses. Our 32K bit neuromorphic chip with 256 axons and 256 neurons demonstrates 4 neuromorphic cores operating in a completely parallel fashion. Eflash memory core representing synapses saves power and area. The Non-volatility of eflash consumes zero static power. The ability to store multi-levels of weights in a single cell makes the array denser. Unlike flash technology, eflash doesn't require specialized fabrication process, hence the neuromorphic chip is implemented in 65nm standard CMOS technology. The current sensing neurons with parallel reading scheme makes the neuronal operation several orders of magnitude faster than state-of-the-art neuromorphic designs.
Keywords/Search Tags:Neuromorphic, Synapses
PDF Full Text Request
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