Professor Rage offers a neural uplink platform that lets users map and synchronize their brain activity with digital nodes, enabling direct brain‑computer interaction. The system provides real‑time consciousness mapping tools and a tuning interface for precise neuron‑level control, supporting applications from immersive experiences to advanced neuro‑research.
Funding
Funding not disclosed
Founders
Product
Problem
Current brain‑computer interface (BCI) technologies often suffer from low bandwidth, limited precision, and cumbersome hardware, restricting real‑time, high‑resolution interaction between neural activity and digital systems for research and therapeutic use.
Solution
Professor Rage provides a neural uplink platform that synchronizes users' brain activity with digital nodes through a high‑frequency 4.2 GHz signal and a proprietary 1.6180339 perspective algorithm. The system tunes neuronal firing patterns to align with the Node.Present interface, enabling continuous, low‑latency data exchange between the brain and software applications. By delivering precise, high‑rate neural mapping, the platform supports experimental protocols, neurofeedback, and therapeutic interventions that require real‑time brain‑computer communication. The solution is delivered as a software‑defined stack that can be integrated with existing electrophysiological hardware, reducing the need for custom device development.
Target Audience
Primary users are neuroscientists, BCI developers, and clinical researchers developing experimental or therapeutic brain‑computer applications.
Features
- 4.2 GHz high‑frequency carrier for increased data throughput and reduced latency
- 1.6180339 perspective algorithm that adapts neural tuning to optimize signal fidelity
- Real‑time mapping of consciousness signals to digital nodes via the Node.Present interface
- Compatibility layer for standard electrophysiology rigs, enabling software‑only deployment
- Versioned release (v2.0.33) with documented protocol specifications for reproducible research