Python API for Mentalab biosignal aquisition devices

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List of summer schools to study brain-computer interfaces, neurotechnology & related fields worldwide

Bio-Silicon Synergetic Intelligence System

AI-powered intelligence platform aggregating breakthroughs in neuroscience, computational psychiatry, and mental health research. Built with Next.js, ChatGPT API, and TypeScript.

MindsApplied EEG Signal Filter for Real-time or Offline Analysis

A daemon service allowing web apps to read fingerprints from biometric devices using the Neurotechnology SDK

🧠🔥 Adaptive and inclusive neurotech platform for real-time multimodal data — born from the Olympic flame project.

A retro arcade of thought-controlled minigames - proving neurotechnology is already here, accessible, and ready to hack.

BrainBrowsR is a software stack that allows a user to control the browser through SSVEP. We want to unlock social media for people with extreme paralysis, ALS or locked-in syndrome.

A framework for implementing modular Brain-Computer Interfaces

This web app uses an AI model trained with TensorFlow.js to guess if a (fake) person would be "focused" or "distracted" based on simulated brain waves (alpha/beta/gamma) generated every second.

Основы профессиональной деятельности (ОПД) Программная инженерия (ПИиКТ) Нейротехнологии и программирование ИТМО

Discover the cutting edge of neurotechnology with The University of Texas at Austin's Longhorn Neurotech! The Synposium is a weekly event featuring neuroscience lectures and an interactive journal club dedicated to neurotechnology. Run by LHNT's R&D Director Julian Weaver and Education Lead Raquel Paz Bergia.

Codes for Real Time Biofeedback using Brainvision Actichamp acquisition system

BeamBCI is a modular, Python-based framework for real-time brain-computer interface experiments, developed at Charité Berlin. It supports flexible modular components for data acquisition, processing, classification, and actuator control, all synchronized using LabStreamingLayer (LSL).

A GUI for recording brain activity from biosensing devices

A web app that empowers individuals with motor and speech impairments by offering a hands-free, personalized music experience. Through SVM-based eye tracking and KAN-powered EEG mood detection, NeuroTune translates neural and gaze inputs into seamless music control, redefining independence through technology.

Developed At Florida International University. Enhancing Student Focus and Performance with Brain-Computer Interfaces

FeelTheWaves is a Streamlit web app that analyzes EEG signals to classify emotional states using machine learning. Upload your EEG feature data, choose a model, visualize performance, and predict emotions in real time. Built for neuroscience, mental health research, and AI innovation.