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Leaky integrate-and-fire neuron circuit based on floating-gate integrator

Title
Leaky integrate-and-fire neuron circuit based on floating-gate integrator
Author
정두석
Keywords
floating-gate integrator; leaky integrate-and-fire neuron; spiking neural network; synaptic transistor; spatial integration
Issue Date
2016-05
Publisher
FRONTIERS MEDIA SA
Citation
FRONTIERS IN NEUROSCIENCE, v.10, page.1-16
Abstract
The artificial spiking neural network (SNN) is promising and has been brought to the notice of the theoretical neuroscience and neuromorphic engineering research communities. In this light, we propose a new type of artificial spiking neuron based on leaky integrate-and-fire (LIF) behavior. A distinctive feature of the proposed FG-LIF neuron is the use of a floating-gate (FG) integrator rather than a capacitor-based one. The relaxation time of the charge on the FG relies mainly on the tunnel barrier profile, e.g., barrier height and thickness (rather than the area). This opens up the possibility of large-scale integration of neurons. The circuit simulation results offered biologically plausible spiking activity (<100 Hz) with a capacitor of merely 6 fF, which is hosted in an FG metal-oxide-semiconductor field-effect transistor. The FG-LIF neuron also has the advantage of low operation power (<30 pW/spike). Finally, the proposed circuit was subject to possible types of noise, e.g., thermal noise and burst noise. The simulation results indicated remarkable distributional features of interspike intervals that are fitted to Gamma distribution functions, similar to biological neurons in the neocortex.
URI
https://www.frontiersin.org/articles/10.3389/fnins.2016.00212/fullhttp://repository.hanyang.ac.kr/handle/20.500.11754/71593
ISSN
1662-453X
DOI
10.3389/fnins.2016.00212
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MATERIALS SCIENCE AND ENGINEERING(신소재공학부) > Articles
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