Binary operations on neuromorphic hardware with application to linear algebraic operations and stochastic equations

Non-von Neumann computational hardware, based on neuron-inspired, non-linear elements connected via linear, weighted synapses—so-called neuromorphic systems—is a viable computational substrate. Since neuromorphic systems have been shown to use less power than CPUs for many applications, they are of...

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Vydané v:	Neuromorphic computing and engineering Ročník 3; číslo 1; s. 14002 - 14018
Hlavní autori:	Iaroshenko, Oleksandr, Sornborger, Andrew T, Chavez Arana, Diego
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United Kingdom IOP Publishing 01.03.2023
Predmet:	binary operation matrix multiplication random walk spiking algorithm two’s complement
ISSN:	2634-4386, 2634-4386
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