Neuroscience in Review: Model-Guided Neural Write-In

This source-audited comparison examines the October 2025 model-guided microstimulation study by Mehrer and colleagues against Micah Blumberg's dated research genealogy. It decomposes the target into nine bounded operations and records, for each operation, the earliest strict public Blumberg source, later Blumberg sources that increase specificity, named earlier field donors, and the target's retained implementation or evidential residual. The strongest earlier Blumberg composite is public by April 2017 and joins external spatial modeling, simultaneous neural measurement, learned high-level content, present-versus-desired neural states, computed difference, bidirectional write-back, and a proposed experienced-content consequence. Public work from 2018 through 2021 adds scene capture, semantic segmentation, neural registration, and render-analyze-rerender experiments. Immutable 2022 records add choice bifurcation, neural tuning, learned multimodal content, patterned stimulation, neural rendering, and Neural Array Projection Oscillation Tomography. Its conclusions are limited to the assumptions, evidence, and testing conditions stated in the manuscript. It belongs to the Self-Aware Networks neuroscience and consciousness research program. This is a corrected preprint edition released under the Creative Commons Attribution 4.0 license.