NANO-ACUPUNCTURE AND PERIPHERAL NEURAL SIGNAL DECODING AT THE LIMIT STARLI | WHITE RAINBOW EPOCH | FLAGSHIP RESEARCH MONOGRAPH 05 33 × STARLI | Original Civilizational Interpretation and Prospective Scientific Architecture ABSTRACT / ZENODO DESCRIPTION What, precisely, can be learned about a bounded motor-intention task from peripheral neural information once muscle activation, movement timestamps, contact artifacts, common electrical references, and subject identity have been taken seriously? This prospective research monograph examines that question at the intersection of acupuncture-inspired microinterfaces, nonclinical electrophysiology, information theory, causal time alignment, and conservative machine-learning governance. Its central hypothesis is deliberately open to refutation: a new sensor or decoder is meaningful only if its incremental evidence survives blinded challenges and a strong, resource-matched conventional comparator. The scientific three-coupling of the work is Peripheral Neural Signals × Signal Decoding × Data-Leakage Governance. The measurement target is incremental task-related information, calibrated in bits under a predeclared task ontology, accompanied by a practical accounting of false actions, abstention, instrument integrity, and independent reproducibility. The starting candidate is I(Intent; EEG | EMG, t_move) = H(Intent | EMG, t_move) − H(Intent | EEG, EMG, t_move). Importantly, EEG is primarily a central scalp measurement; this equation does not itself establish a peripheral nerve origin. A genuine peripheral recording claim would require a distinct anatomy-aware signal channel, appropriate forward-model evidence, and controls that distinguish peripheral sources from ordinary muscle, skin, electronics, and movement artifacts. CIVILIZATIONAL THREE-COUPLING The White Rainbow Epoch brings three commitments into one research conversation: Continuity of Chinese Cultural Heritage × Exploration through Modern Science × Original Civilizational Interpretation of the White Rainbow Epoch.

Abstract

NANO-ACUPUNCTURE AND PERIPHERAL NEURAL SIGNAL DECODING AT THE LIMITSTARLI | WHITE RAINBOW EPOCH | FLAGSHIP RESEARCH MONOGRAPH 0533 × STARLI | Original Civilizational Interpretation and Prospective Scientific Architecture ABSTRACT / ZENODO DESCRIPTION What, precisely, can be learned about a bounded motor-intention task from peripheral neural information once muscle activation, movement timestamps, contact artifacts, common electrical references, and subject identity have been taken seriously? This prospective research monograph examines that question at the intersection of acupuncture-inspired microinterfaces, nonclinical electrophysiology, information theory, causal time alignment, and conservative machine-learning governance. Its central hypothesis is deliberately open to refutation: a new sensor or decoder is meaningful only if its incremental evidence survives blinded challenges and a strong, resource-matched conventional comparator. The scientific three-coupling of the work is Peripheral Neural Signals × Signal Decoding × Data-Leakage Governance. The measurement target is incremental task-related information, calibrated in bits under a predeclared task ontology, accompanied by a practical accounting of false actions, abstention, instrument integrity, and independent reproducibility. The starting candidate is I(Intent; EEG | EMG, t_move) = H(Intent | EMG, t_move) − H(Intent | EEG, EMG, t_move). Importantly, EEG is primarily a central scalp measurement; this equation does not itself establish a peripheral nerve origin. A genuine peripheral recording claim would require a distinct anatomy-aware signal channel, appropriate forward-model evidence, and controls that distinguish peripheral sources from ordinary muscle, skin, electronics, and movement artifacts. CIVILIZATIONAL THREE-COUPLING The White Rainbow Epoch brings three commitments into one research conversation: Continuity of Chinese Cultural Heritage × Exploration through Modern Science × Original Civilizational Interpretation of the White Rainbow Epoch.