Нейроінтерфейси в мобільних додатках

Neural interfaces (Brain-Computer Interfaces, BCI) allow mobile applications to interact with the brain through EEG, fNIRS, and other technologies. Applications: medical diagnostics, neurofeedback training, mind-controlled applications, accessibility for people with disabilities, cognitive enhancement. Key Technologies: consumer EEG headsets (Muse, NeuroSky), medical equipment, real-time signal processing, machine learning for pattern recognition.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

🧠 Types of Neural Interfaces

Measurement of electrical brain activity through electrodes on the scalp, non-invasive, real-time monitoring

Measurement of blood flow in the brain through near-infrared light, wearable, portable, good temporal resolution

Measurement of magnetic fields of the brain, high resolution, expensive, typically clinical use

Implanted electrodes, high resolution, used for medical applications, research

Real-time feedback of brain activity for training, meditation, cognitive enhancement

Mind-controlled applications, gaming, accessibility, assistive technology

жива демонстрація · пов'язана симуляція● LIVE

🛠️ Consumer EEG Headsets

Popular Devices

Muse: Meditation and neurofeedback headband

NeuroSky MindWave: Consumer EEG for developers

OpenBCI: Open-source BCI platform

Emotiv EPOC: Research-grade consumer EEG

MindLink: Affordable consumer option

Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation