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On the Vulnerability of CNN Classifiers in EEG-Based BCIs

Deep learning has been successfully used in numerous applications because of its outstandingperformance and the ability to avoid manual feature engineering. One such application is electroencephalogram(EEG)-based brain-computer interface (BCI), where multiple convolutional neural network...

Multi-view broad learning system for primate oculomotor decision decoding

We extended broad learning system (BLS), a recently proposed wide neural network architecture, from single-view learning to multi-view learning, and validated its performance in decoding monkeys’ oculomotor decision from medial frontal local field potentials...

Empirical Studies on the Properties of Linear Regions in Deep Neural Networks

A deep neural network (DNN) with piecewise linear activations can partition the input space into numerous small linear regions, where different linear functions are fitted. It is believed that the number of these regions...