Scalable Brain-AI Integration with Single Neuron Resolution

To truly merge human cognition with AI, we must decode the full language of thought encoded by ~30 billion cortical neurons. Thoughts arise from “neuronal ensembles”: sparse, transient activation patterns comparable to QR codes. Existing tools such as electrodes and calcium imaging access only hundreds to thousands of neurons, less than 1% of the cortex, making whole-brain decoding infeasible. We are developing a breakthrough approach using 1-micron intracellular sensors called nanofids. Each nanofid records activity from within a single neuron and emits a unique near-infrared optical code when activated. These signals are captured by external optical fibers and decoded in real time by solid-state photonic systems, converting neural activity into digital signals for AI analysis. With no genetic modification, minimal tissue disruption, and tolerance to movement, nanofids enable continuous, cortex-wide monitoring at single-neuron resolution. This is not just a brain–computer interface, but a neural mirror designed to decode consciousness itself.