This corrected preprint proposes a multiscale hypothesis explaining neural differentiation in experiences, suggesting new insights into the nature of perception.
This corrected preprint presents its research question, method, bounded result, and principal limitations in a standardized reader-facing format. Why does red look different from green, or the taste and crunch of broccoli form one recognizable experience rather than an unstructured collection of neural events? Neuroscience can identify receptors, pathways, population responses, reports, and actions, but correlation at any one scale does not yet explain how the living network constructs a differentiated, multimodal state. This paper develops the Self Aware Networks (SAN) answer as a falsifiable multiscale hypothesis. A qualitative state is proposed to depend on learned, receiver-relative transformations that begin in modality-specific transduction, alter cellular output, recruit recurrent neural arrays, and change an embodied observer-action process. The observer is the distributed process itself; no inner spectator is added. 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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