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Adiabatic Spiking Neurons and Synapses for Ultra-Low Energy Neuromorphic Computing

Massarotto M.
•
Saggini S.
•
Loghi M.
•
Esseni D.
2023
  • conference object

Abstract
We present an artificial spiking neuron employing capacitive synapses, that is capable of an adiabatic operation and can achieve a cumulative integration of the input spikes. Our transistor-level circuit simulations show that the neuron can exploit both the charging and recovery phases to drive the membrane potential of the neurons and reach 100-150fJ per synaptic operation with a 99.6%-98.8% efficiency of the adiabatic driving at a 40 kHz resonance.
DOI
10.1109/ICECS58634.2023.10382863
Archivio
https://hdl.handle.net/11390/1270610
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85183579113
https://ricerca.unityfvg.it/handle/11390/1270610
Diritti
metadata only access
Soggetti
  • Adiabatic neuromorphi...

  • capacitive synapse

  • resonant charge recov...

  • spiking neural networ...

  • ultra-low power (ULP)...

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