1 citations · 2 across the 4 of their papers we have counts for
4 papers
Neuronal arithmetic operators based on Ovonic threshold switches (OTS) for biologically inspired analog computing
Jingyeong Hwang, Jaesang Lee, Jiin Bang +10
Biological neurons perform arithmetic computations - including additive integration and divisive gain modulation - through synaptic conductance changes and shunting inhibition, ena…
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification
Ji-Seon Bang, Seong-Whan Lee
Deep learning frameworks have become increasingly popular in brain computer interface (BCI) study thanks to their outstanding performance. However, in terms of the classification m…
Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation
Ji-Seon Bang, Seong-Whan Lee
Recently, various deep neural networks have been applied to classify electroencephalogram (EEG) signal. EEG is a brain signal that can be acquired in a non-invasive way and has a h…
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks
Ji-Seon Bang, Ji-Hoon Jeong, Dong-Ok Won
Recently, visual perception (VP) and visual imagery (VI) paradigms are investigated in several brain-computer interface (BCI) studies. VP and VI are defined as a changing of brain…