This tutorial demonstrates how to control a 6-DOF robotic arm (or any actuator) in real time using only alpha activity measured with the OpenBCI Cyton board. The purpose of this project is to explore ...

The Cerelog ESP-EEG is an 8-channel, low-cost brain computer interface (BCI) circuit board built around the ESP32 MCU and designed for EEG data acquisition. The board supports 8-channel, 24-bit EEG ...

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for beginners looking to explore brain signal analysis! #MachineLearning #EEG ...

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...

A fundamental challenge in the rapid development of BCI systems is the absence of comprehensive software solutions specifically tailored for advancing cognitive neuroscience experiments. Existing BCI ...

Abstract: Human brain emits signals in the form of Electroencephalogram (EEG) signals. These signals are recorded at regular intervals, therefore, can be represented in the form of Time-Series, with a ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...