Ferroelectric FET-Based Implementation of FitzHugh-Nagumo Neuron Model

Ferroelectric field-effect transistor (FeFET)-based circuit implementation mimicking FitzHugh-Nagumo neuron is proposed in this work. The proposed circuit is shown to mimic biological neuron properties, such as excitation block and anodal break excitation which are not mimicked by an integrate and f...

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Bibliographic Details
Published in:IEEE transactions on computer-aided design of integrated circuits and systems 2022-07, Vol.41 (7), p.2107-2114
Main Authors: Rajasekharan, Dinesh, Gaidhane, Amol, Trivedi, Amit Ranjan, Chauhan, Yogesh Singh
Format: Article
Language:English
Subjects:
Aspect ratio
Biological properties
Biological system modeling
Circuits
Computational modeling
Energy consumption
Excitation
FDSOI
FeFETs
ferroelectric
Ferroelectric materials
Ferroelectricity
Field effect transistors
FitzHugh-Nagumo neuron
Integrated circuit modeling
Mathematical model
MOSFET
neuromorphic computing
neuron
Neurons
Semiconductor devices
Transistors
winner-take-all (WTA)
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Summary:Ferroelectric field-effect transistor (FeFET)-based circuit implementation mimicking FitzHugh-Nagumo neuron is proposed in this work. The proposed circuit is shown to mimic biological neuron properties, such as excitation block and anodal break excitation which are not mimicked by an integrate and fire neuron model. We also show a winner-take-all circuit that can be used with this proposed neuron implementation. The neuron implementation requires just one FeFET, three baseline field-effect transistors, and one capacitor, making it area and energy-efficient. The neuron circuit, with minimum sized transistors, consumes approximately 10 pJ per spike. The neuron's energy consumption per spike can be reduced to as low as 100 fJ by designing some of the transistors with aspect ratio less than one.
ISSN:0278-0070
1937-4151
DOI:10.1109/TCAD.2021.3101407