Neural Signatures and Decoding of the Various Cognitive Processes Elicited by the Same Stimulus

Abstract

Multi-Tasks decoding from electroencephalogram (EEG) signals is of great value for brain-computer interaction (BCI) applications in natural scenes. Although most existing studies have concentrated on decoding significantly different multi-tasks, a few studies explored the various cognitive processes that individuals may exhibit when elicited by the same stimulus. However, in practice, the diversity and complexity of individuals' cognitive responses when faced with the same stimulus cannot be ignored. In this paper, we aimed to construct a paradigm of the various cognitive processes elicited by the same stimulus, explore the neural signatures, and decode the multiple cognitive processes from EEG signals. Experimental results show that the regularized linear discriminant analysis (RLDA) classifier with event-related spectral perturbation (ERSP) features yielded a decoding accuracy of 96.30%±3.40% for the multi-cognitions. In-Depth research on signatures and decoding of various cognitive processes elicited by the same stimulus is of great significance for improving the naturalness and intelligence of BCI.