Corrected preprint explores how coincidences provide information in neural networks, highlighting implications for understanding brain function.
This corrected preprint presents its research question, method, bounded result, and principal limitations in a standardized reader-facing format. In April 2017, Micah Blumberg publicly proposed that a coincidence pattern could serve as a bit of information in the brain. His September 2018 clarification made the intended claim more precise than the later deposited paper: coincidence was the basis of an information unit, not a claim that one spike always equals exactly one Shannon bit; the relevant event could be subthreshold; and its information content could be greater or smaller than one bit. In 2022, the proposal was extended across synaptic, dendritic-branch, somatic-burst, and oscillating-network scales, then joined to the tonic-context/phasic-differential architecture of Self Aware Networks (SAN), Neural Array Projection Oscillation Tomography (NAPOT), and phase-wave differentials (PWDs). A 2024 book carried that joined mechanism into a sustained account of neural rendering. This paper supplies the missing mathematical and experimental contract. It belongs to Micah Blumberg's governed research-paper corpus. This is a corrected preprint edition released under the Creative Commons Attribution 4.0 license.
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Micah Blumberg (2026) studied this question.
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