A Robust-Compact Model to Emulate Neuro-Mimetic Dynamics With doped-HfO2 Ferroelectric-FET Based Neurons

A leap towards deriving a robust-compact model for ferroelectric-FET (FeFET) oscillator based spiking neurons has been developed. The compact model can capture and emulate neurons that exhibit both excitatory and inhibitory coupled dynamical behaviour, native to cortical neurons. The proposed model...

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Bibliographic Details
Published in:IEEE transactions on nanotechnology 2023-01, Vol.22, p.1-6
Main Authors: Shaik, Rameez Raja, Chandrasekar, L, Pradhan, K P
Format: Article
Language:English
Subjects:
cortical
FDSOI
FeFETs
ferroelectric
Ferroelectric materials
Ferroelectricity
Hafnium oxide
HSO
HZO
Iron
Mathematical models
MOSFET
Neural-network
Neuromorphic computing
Neuron
Neurons
Oscillators
Qualitative analysis
Robustness (mathematics)
Semiconductor device modeling
Silicon-on-insulator
Spiking
Voltage
Zirconium
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Summary:A leap towards deriving a robust-compact model for ferroelectric-FET (FeFET) oscillator based spiking neurons has been developed. The compact model can capture and emulate neurons that exhibit both excitatory and inhibitory coupled dynamical behaviour, native to cortical neurons. The proposed model can reliably mimic neuronal dynamics for a broad-spectrum of FeFETs when, factored with appropriate validation of numerical simulations and physics-based models. The emulation of neuronal attributes based on FDSOI FeFET having qualitative agreement with previously reported data. The robustness of this analytical model has been investigated by tuning with ferro-dielectric (Fe) materials i.e., zirconium-doped HfO 2 (HZO) and silicon-doped HfO 2 (HSO) for mimicking the neurons. In continuance, the model is examined for emulating the cortical neurons by altering the inhibition (high-V GF ) and excitation (low-V GF ) inputs with a suitable frequency of operation for spiking neurons.
ISSN:1536-125X
1941-0085
DOI:10.1109/TNANO.2023.3262542