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Simulation of integrate-and-fire neuron circuits using HfO₂-based ferroelectric field effect transistors

Inspired by neurobiological systems, Spiking Neural Networks (SNNs) are gaining an increasing interest in the field of bio-inspired machine learning. Neurons, as central processing and short-term memory units of biological neural systems, are thus at the forefront of cutting-edge research approaches. The realization of CMOS circuits replicating neuronal features, namely the integration of action potentials and firing according to the all-or-nothing law, imposes various challenges like large area and power consumption. The non-volatile storage of polarization states and accumulative switching behavior of nanoscale HfO₂ - based Ferroelectric Field-Effect Transistors (FeFETs), promise to circumvent these issues. In this paper, we propose two FeFET-based neuronal circuits emulating the Integrate-and-Fire (I&F) behavior of biological neurons on the basis of SPICE simulations. Additionally, modulating the depolarization of the FeFETs enables the replication of a biology-based concept known as membrane leakage. The presented capacitor-free implementation is crucial for the development of neuromorphic systems that allow more complex features at a given area and power constraint.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:77196
Date03 January 2022
CreatorsSuresh, Bharathwaj, Bertele, Martin, Breyer, Evelyn T., Klein, Philipp, Mulaosmanovic, Halid, Mikolajick, Thomas, Slesazeck, Stefan, Chicca, Elisabetta
PublisherIEEE
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/acceptedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation978-1-7281-0996-1, 10.1109/ICECS46596.2019.8965004, info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Cluster of Excellence at Bielefeld University/EXC 277//Cognitive Interaction Technology /CITEC

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