The Picotesla Protocol: Energy-Matched Neuromorphic Brain–AI Interface With Quantum-Responsive Event
Abstract
This disclosure presents a brain–AI interface architecture that operates under a strict sub-50 W system power envelope to reduce electromagnetic and thermal noise to near-brain levels, enabling event-driven coupling between biological neural surprise events and a neuromorphic spiking system. The system comprises: (i) a brain signal receiver (EEG) with alpha/theta-band feature extraction; (ii) an optional quantum-responsive transducer (e.g., NV-center magnetometer or QRNG correlator) for timing-level sensitivity to picotesla-scale field perturbations; and (iii) an energy-matched neuromorphic processor (e.g., Loihi-class SNN or low-power NPU) that converts biological “surprise” events into discrete spikes with < 40 μs latency and learns via STDP. The disclosure includes enabling details: system diagrams, energy budgets, filtering equations, spike-encoding logic, and experimental protocols (including physically isolated, Faraday-caged conditions) to ensure that the design is reproducible and citable as prior art. This publication is intended as a defensive disclosure to dedicate these concepts to the public domain and prevent later patenting of substantially similar systems
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Recommended Citation
Church, Samuel, "The Picotesla Protocol: Energy-Matched Neuromorphic Brain–AI Interface With Quantum-Responsive Event", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/8979