The Future of Neural Attribution. Powered by Meta TRIBE v2.
Watch how N-COPE maps raw audiovisual stimulus to cortical activation in real-time.
Important
- Inference Requirements: N-COPE relies on TRIBE v2 for neural prediction. Local inference requires a CUDA-capable GPU with at least 16GB VRAM for high-res cortical salience maps.
- Authentication: The current version requires a secure backend connection for processing high-bitrate video stimulus. You can deploy your own cluster with Docker.
N-COPE (Neuro-Adaptive Creative Optimization Engine) is a high-fidelity neural diagnostic client built upon Meta's TRIBE v2—the frontier in cross-modal cortical salience prediction.
It allows researchers and creators to visualize exactly how the human brain will respond to audiovisual stimulus before it is ever released.
- 🧬 TRIBE v2 Neural Core: Built directly on Meta's high-resolution biological predictive model.
- 🧠 Biological Accuracy: High-polygon 3D brain geometry mapped with real-world fMRI coordinate systems.
- ⚡ Real-Time Visualization: Medical-grade WebGL shaders for dynamic, aggressive heatmap projection.
- 🤖 Neural Architect AI: Integrated, draggable Gemini AI assistant offering live expert analysis of cortical engagement data.
- 🌐 Platform Agnostic: Deploy anywhere—from local diagnostic stations to distributed cloud clusters.
N-COPE is not a statistical approximation; it is a Neural Simulator.
By leveraging the TRIBE v2 (TRaining-free Inference of Brain Engagement) architecture, N-COPE predicts region-specific cortical activations (BOLD responses) based on raw video and audio inputs.
- Cortical Salience Maps: Direct mapping of attention and engagement from the Meta TRIBE v2 latent space.
- Biologically Grounded: Based on massive datasets of human fMRI responses to movie stimulus.
- Zero-Shot Mastery: Predicts reactions to entirely new creative content with surgical precision.
N-COPE is engineered for precise cognitive attribution. In the attention economy, guessing is a liability. N-COPE is the cure.
Found a neural bottleneck? Need deeper ROI analysis?
- We are aggressively expanding our region mapping and stimulus libraries. If you want to contribute to the future of cognitive optimization, File an issue.
The mind is complex; N-COPE shouldn't be. We welcome all neural-engineers and visionaries.
- Neural Architecture: Check the TRIBE Integration Guide to understand the prediction logic.
- Frontend / Visualization: See our Shader Development Documentation for custom fMRI mapping techniques.
- Getting Started - Quick setup for developers
- Anatomical Mapping - Deep dive into ROI and cortical mapping
- Deployment - Scaling with Docker and Kubernetes
- Roadmap - Upcoming features and neural targets
- Security & Ethics - Responsible use and data privacy policies
All contributors must adhere to our Code of Conduct. We are building a science-first community.
N-COPE handles sensitive neural data models. Report vulnerabilities responsibly via our Security Channel.
N-COPE is licensed under the Mozilla Public License 2.0.