…based pathology detection and normal/abnormal classification tasks. Source: Zenodo (doi:10…
…Letters were classified with direct classification from low-frequency and broadband EEG…
…ERPs were analyzed, and binary classification and BCI simulation were conducted offline…
…A comparison of stimulus types in online classification of the P300 speller…
…SEEG for seizure-onset-zone classification (derivative dataset) ## Overview NEMAR redistribution of…
…computer interface applications, achieving mean classification accuracy of 66.2±4.8…
…Open access dataset for EEG+NIRS single-trial classification. IEEE Transactions on…
…extraction and relevance vector machine classification, achieving approximately 49% mean accuracy across…
…Results show that recent advances including batch normalization and exponential linear units…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000138-blue…