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Brain–computer interface experiment that transforms live EEG signals into real-time generative visuals using Python and TouchDesigner.

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CogniVis 🧠✨

Thought is invisible. Until you give it a form.

CogniVis is a brain–computer interface (BCI) experiment I built to transform live EEG signals into a neuron‑inspired generative visual system.

Using real‑time brain activity, CogniVis bridges neuroscience, generative art, and interactive systems—allowing cognitive states like focus and relaxation to directly shape visual form.

🔬 What is CogniVis?

CogniVis captures live EEG data using a Behaveneu EEG headband, processes it in real time with Python, and streams the extracted cognitive state into TouchDesigner, where it drives a dynamic, neuron‑like generative structure.

Instead of traditional inputs (mouse, keyboard, MIDI), the system responds to mental state itself.

As cognition shifts, the visuals respond instantly:

🔴 Focused state → Red 🔵 Relaxed state → Cyan / Blue

This project explores how creative tools can evolve beyond reactive systems into interfaces driven directly by human cognition.

🧠 System Pipeline [Behaveneu EEG Headband] ↓ [Python – Signal Handling & State Detection] ↓ [Real‑time Data Bridge] ↓ [TouchDesigner – Generative Neuron System]

EEG Acquisition: Live brain signals captured via Behaveneu headset

Processing: Python scripts handle data streaming, state extraction, and communication

Visualization: TouchDesigner maps cognitive states to color, motion, and structure

🛠 Tech Stack

EEG Hardware: Behaveneu EEG Headband

Programming: Python

Visual Engine: TouchDesigner

Concepts: EEG, neurofeedback, generative art, real‑time systems, BCI

🚧 Work in Progress

CogniVis is an ongoing exploration at the intersection of EEG, generative art, and real-time systems. The current implementation focuses on mapping high-level cognitive states to visual behavior, but this is only the starting point.

Future iterations will explore:

Richer EEG feature extraction and temporal dynamics

More expressive visual grammars driven by neural patterns

Deeper integration between cognition, interaction, and form

This repository will evolve as the system matures.

About

Brain–computer interface experiment that transforms live EEG signals into real-time generative visuals using Python and TouchDesigner.

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