TY - JOUR
T1 - Energy-efficient ferroelectric field-effect transistor-based oscillators for neuromorphic system design
AU - Eslahi, Hossein
AU - Hamilton, Tara J.
AU - Khandelwal, Sourabh
N1 - Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2020/12
Y1 - 2020/12
N2 - Neuromorphic or bioinspired computational platforms, as an alternative
for von-Neumann structures, have benefitted from the excellent features
of emerging technologies in order to emulate the behavior of the
biological brain in an accurate and energy-efficient way. Integrability
with CMOS technology and low power consumption make ferroelectric
field-effect transistor (FEFET) an attractive candidate to perform such
paradigms, particularly for image processing. In this article, we use
the FEFET device to make energy-efficient oscillatory neurons as the
main parts of neural networks for image processing applications,
especially for edge detection. Based on our simulation results, we
estimated a significant energy efficiency compared with other
technologies, which shows roughly
5−120×
reduction, depending on the design.
AB - Neuromorphic or bioinspired computational platforms, as an alternative
for von-Neumann structures, have benefitted from the excellent features
of emerging technologies in order to emulate the behavior of the
biological brain in an accurate and energy-efficient way. Integrability
with CMOS technology and low power consumption make ferroelectric
field-effect transistor (FEFET) an attractive candidate to perform such
paradigms, particularly for image processing. In this article, we use
the FEFET device to make energy-efficient oscillatory neurons as the
main parts of neural networks for image processing applications,
especially for edge detection. Based on our simulation results, we
estimated a significant energy efficiency compared with other
technologies, which shows roughly
5−120×
reduction, depending on the design.
UR - http://www.scopus.com/inward/record.url?scp=85091901948&partnerID=8YFLogxK
U2 - 10.1109/JXCDC.2020.3027541
DO - 10.1109/JXCDC.2020.3027541
M3 - Article
AN - SCOPUS:85091901948
SN - 2329-9231
VL - 6
SP - 122
EP - 129
JO - IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
JF - IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
IS - 2
ER -