A fully flexible circuit implementation of clique-based neural networks in 65-nm CMOS.
IEEE Transactions on Circuits and Systems I: Regular Papers(2019)
摘要
Clique-based neural networks implement low-complexity functions working with a reduced connectivity between neurons. Thus, they address very specific applications operating with a very low-energy budget. However, the implementation in the state of the art is not flexible and a fabricated circuit is only usable in a unique use case. Besides, the silicon area of hardwired circuits grows exponentiall...
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关键词
Neurons,Synapses,Biological neural networks,Silicon,Leakage currents,Complexity theory
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