Pulse-Width Modulation Neuron Implemented by Single Positive-Feedback Device

08/23/2021
by   Sung Yun Woo, et al.
0

Positive-feedback (PF) device and its operation scheme to implement pulse width modulation (PWM) function was proposed and demonstrated, and the device operation mechanism for implementing PWM function was analyzed. By adjusting the amount of the charge stored in the n- floating body (Qn), the potential of the floating body linearly changes with time. When Qn reaches to a threshold value (Qth), the PF device turns on abruptly. From the linear time-varying property of Qn and the gate bias dependency of Qth, fully functionable PWM neuron properties including voltage to pulse width conversion and hard-sigmoid activation function were successfully obtained from a single PF device. A PWM neuron can be implemented by using a single PF device, thus it is beneficial to extremely reduce the area of a PWM neuron circuit than the previously reported one.

READ FULL TEXT
research
09/02/2019

Ultra-Low Energy and High Speed LIF Neuron using Silicon Bipolar Impact Ionization MOSFET for Spiking Neural Networks

Silicon bipolar impact ionization MOSFET offers the potential for realiz...
research
02/26/2019

Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron

The human brain comprises about a hundred billion neurons connected thro...
research
04/17/2022

A Novel ASIC Design Flow using Weight-Tunable Binary Neurons as Standard Cells

In this paper, we describe a design of a mixed signal circuit for a bina...
research
11/19/2020

Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops

Deep neural networks are among the most widely applied machine learning ...
research
01/21/2021

A Note on Connectivity of Sublevel Sets in Deep Learning

It is shown that for deep neural networks, a single wide layer of width ...
research
04/04/2021

A Configurable BNN ASIC using a Network of Programmable Threshold Logic Standard Cells

This paper presents TULIP, a new architecture for a binary neural networ...

Please sign up or login with your details

Forgot password? Click here to reset