Neuro-mimetic dynamics of a ferroelectric FET-based spiking neuron

Yan Fang; Jorge Gomez; Zheng Wang; Suman Datta; Asif I. Khan; Arijit Raychowdhury

doi:10.1109/LED.2019.2914882

Neuro-mimetic dynamics of a ferroelectric FET-based spiking neuron

Yan Fang^*
, Jorge Gomez
, Zheng Wang
, Suman Datta
, Asif I. Khan
, Arijit Raychowdhury

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

53 Scopus citations

Abstract

We demonstrate that a ferroelectric field-effect transistor (FeFET)-based spiking neuron is capable of mimicking various spiking and bursting patterns characteristic of cortical neurons. We propose a compact model to describe the dynamical behavior of such FeFET-based spiking neurons. This model captures the current-voltage dynamics of the FeFET and the critical voltages of its hysteretic region. It is aimed at system-level modeling and simulation of biomimetic networks of the FeFET neurons that are ideal for neuromorphic computing.

Original language	English
Article number	8706952
Pages (from-to)	1213-1216
Number of pages	4
Journal	IEEE Electron Device Letters
Volume	40
Issue number	7
DOIs	https://doi.org/10.1109/LED.2019.2914882
State	Published - Jul 2019
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 1980-2012 IEEE.

Keywords

Ferroelectric FET
biomimetic circuits
firing pattern
neuromorphic

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10.1109/LED.2019.2914882

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title = "Neuro-mimetic dynamics of a ferroelectric FET-based spiking neuron",

abstract = "We demonstrate that a ferroelectric field-effect transistor (FeFET)-based spiking neuron is capable of mimicking various spiking and bursting patterns characteristic of cortical neurons. We propose a compact model to describe the dynamical behavior of such FeFET-based spiking neurons. This model captures the current-voltage dynamics of the FeFET and the critical voltages of its hysteretic region. It is aimed at system-level modeling and simulation of biomimetic networks of the FeFET neurons that are ideal for neuromorphic computing.",

keywords = "Ferroelectric FET, biomimetic circuits, firing pattern, neuromorphic",

author = "Yan Fang and Jorge Gomez and Zheng Wang and Suman Datta and Khan, \{Asif I.\} and Arijit Raychowdhury",

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AU - Gomez, Jorge

AU - Wang, Zheng

AU - Datta, Suman

AU - Khan, Asif I.

AU - Raychowdhury, Arijit

PY - 2019/7

Y1 - 2019/7

N2 - We demonstrate that a ferroelectric field-effect transistor (FeFET)-based spiking neuron is capable of mimicking various spiking and bursting patterns characteristic of cortical neurons. We propose a compact model to describe the dynamical behavior of such FeFET-based spiking neurons. This model captures the current-voltage dynamics of the FeFET and the critical voltages of its hysteretic region. It is aimed at system-level modeling and simulation of biomimetic networks of the FeFET neurons that are ideal for neuromorphic computing.

AB - We demonstrate that a ferroelectric field-effect transistor (FeFET)-based spiking neuron is capable of mimicking various spiking and bursting patterns characteristic of cortical neurons. We propose a compact model to describe the dynamical behavior of such FeFET-based spiking neurons. This model captures the current-voltage dynamics of the FeFET and the critical voltages of its hysteretic region. It is aimed at system-level modeling and simulation of biomimetic networks of the FeFET neurons that are ideal for neuromorphic computing.

KW - Ferroelectric FET

KW - biomimetic circuits

KW - firing pattern

KW - neuromorphic

UR - https://www.scopus.com/pages/publications/85068171326

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JF - IEEE Electron Device Letters

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M1 - 8706952

ER -

Neuro-mimetic dynamics of a ferroelectric FET-based spiking neuron

Abstract

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Keywords

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