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

no code implementations • 23 Aug 2021 • Sung Yun Woo, Dongseok Kwon, Byung-Gook Park, Jong-Ho Lee, Jong-Ho Bae

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.

Hardware Implementation of Spiking Neural Networks Using Time-To-First-Spike Encoding

no code implementations • 9 Jun 2020 • Seongbin Oh, Dongseok Kwon, Gyuho Yeom, Won-Mook Kang, Soochang Lee, Sung Yun Woo, Jang Saeng Kim, Min Kyu Park, Jong-Ho Lee

Furthermore, the effect of the device variation on the accuracy in temporally encoded SNN is investigated and compared with that of the rate-encoded network.

Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices

no code implementations • 20 Jul 2017 • Suhwan Lim, Jong-Ho Bae, Jai-Ho Eum, Sungtae Lee, Chul-Heung Kim, Dongseok Kwon, Byung-Gook Park, Jong-Ho Lee

In this paper, we propose a learning rule based on a back-propagation (BP) algorithm that can be applied to a hardware-based deep neural network (HW-DNN) using electronic devices that exhibit discrete and limited conductance characteristics.