This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset
This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset
There are three data files in this compressed file. Data 1 shows the error rates for the count/no-count and the digital accumulation task. Specifically, the Subject column shows the serial number of
This study aims to validate a combined n-back/nogo paradigm by comparing it to single task versions and to demonstrate its applicability for ADHD research. Twenty-five healthy individuals and 34 ADHD
Background While research has consistently identified an association between long-term cannabis use and memory impairments, few studies have examined this relationship in a polydrug context (i.e., whe
