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Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron by Chavan, Tanmay; Dutta, Sangya; Mohapatra, Nihar R.; Ganguly, Udayan is a scholarly article available to read on EtoBox.

What is Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron about?

The human brain comprises about a hundred billion neurons connected through quadrillion synapses. Spiking Neural Networks (SNNs) take inspiration from the brain to model complex cognitive and learning tasks. Neuromorphic engineering implements SNNs in hardware, aspiring to mimic the brain at scale (i.e., 100 billion neurons) with biological area and energy efficiency. The design of ultra-energy efficient and compact neurons is essential for the large-scale implementation of SNNs in hardware. In this work, we have experimentally demonstrated a Partially Depleted (PD) Silicon-On-Insulator (SOI) MOSFET based Leaky-Integrate & Fire (LIF) neuron where energy-and area-efficiency is enabled by two elements of design - first tunneling based operation and second compact sub-threshold SOI control circuit design. Band-to-Band Tunneling (BTBT) induced hole storage in the body is used for the "Integrate" function of the neuron. A compact control circuit "Fires" a spike when the body potential exceeds the firing threshold. The neuron then "Resets" by removing the stored holes from the body contact of the device. Additionally, the control circuit provides "Leakiness" in the neuron which is an ess

Author

Chavan, Tanmay; Dutta, Sangya; Mohapatra, Nihar R.; Ganguly, Udayan

Published

2019

Language

EN