IEEE

Graph Convolution Neural Network Based End-to-End Channel Selection and Classification for Motor Imagery Brain–Computer Interfaces

Abstract: Classification of electroencephalogram-based motor imagery (MI-EEG) tasks is crucial in brain–computer interface (BCI). EEG signals require a large number of channels in the acquisition ...
IEEE

15.1 A Programmable Neural-Network Inference Accelerator Based on Scalable In-Memory Computing

Abstract: This paper presents a scalable neural-network (NN) inference accelerator in 16nm, based on an array of programmable cores employing mixed-signal In-Memory Computing (IMC), digital ...