Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Train in the core aspects of contemporary neuroscience, from sensation and sensory processing, to understanding complex brain functions and artificial intelligence with opportunities to conduct ...

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 ...

Motivation letter (include your start and end date preferences for the summer internship) CV, including name(s) and contact detail of possible referee(s) Up-to-date transcript of study records ...

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 ...

New, potentially pioneering research in the Purdue University Sleep and Developmental Studies Laboratory is examining deep sleep’s role in “sloshing” metabolic waste from the brain. The study led by A ...