Adiabatic Leaky Integrate-and-Fire Neurons with Tunable Refractory Period in 180nm CMOS Technology for Ultra-Low Energy Brain-Inspired Neuromorphic Computing
Marco Massarotto,
Stefano Saggini,
Mirko Loghi
et al.
Abstract:In recent years, the In-Memory-Computing in charge domain has gained significant interest as a promising solution to further enhance the energy efficiency of neuromorphic hardware. In this work, we explore the synergy between the brain-inspired computation and the adiabatic paradigm by presenting an adiabatic Leaky Integrate-and-Fire neuron in 180 nm CMOS technology, that is able to emulate the most important primitives for a valuable neuromorphic computation, such as the accumulation of the incoming input spi… Show more
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