The technique relies on reproducible elicitation of the P300 wave, central to the idea of a Memory and Encoding Related Multifaceted Electroencephalographic Response (MERMER) developed …

In this paper, we overview the current status of P300 BCI technology, and then discuss new directions: paradigms for eliciting P300s; signal processing methods; applications; and hybrid …

Dec 2, 2020 · A P300 brain-computer interface (BCI) is a paradigm, where text characters are decoded from event-related potentials (ERPs). In a popular implementation, cal...

Dec 8, 2020 · The P300 Event Related Potential or ERP is an EEG feature commonly used in BCI applications. It has some advantages but also some significant practical challenges and …

Sep 3, 2024 · This is the start page for a tutorial that will give you a step-by-step introduction into performing P300 BCI experiments with BCI2000. The tutorial is intended to provide some …

A MATLAB toolbox for P300 Classification in EEG-based BCI system with Bayes LDA, SVM, LassoGLM and a Deep CNN methods. Codes and data for the following paper are extended to …

This article primarily discusses the progress of research into P300 BCI spellers and reviews four types of P300 spellers: single-modal P300 spellers, P300 spellers based on multiple brain …

Nov 23, 2024 · In this work, we introduce ChatBCI, a P300 speller BCI that leverages the zero-shot learning capabilities of large language models (LLMs) to suggest words from user-spelled …

One of the most popular types of BCI is the P300-based BCI. With this BCI, users are asked to count the number of appearances of target stimuli in an experiment. To date, the majority of …

Nov 26, 2012 · Healthy subjects used a P300 BCI across six different conditions. Three conditions were similar to our prior work, providing the first direct comparison of characters flashing, …