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Corrected preprint reports sensory input processing in self-aware networks, highlighting implications for consciousness.
This corrected preprint presents its research question, method, bounded result, and principal limitations in a standardized reader-facing format. Self-Aware Networks (SAN) reached a bounded version of that joined causal architecture earlier relative to this review branch. Public 2017 material described sparse sensory input combined with much larger returning cortical support in a time-varying spatial wave field to construct objects, predict motion, and organize conscious feedback . Public Git records in 2022 made the chain more specific: phase and frequency pattern differences circulate through recurrent arrays, render perceptual properties, and contribute to motor or behavioral output . A January 2024 public SVGN/Git stage then makes the anatomical loop explicit: sensory input enters thalamic and cortical circuits, feedforward and feedback processes integrate attention, memory, and decision variables, layer-5 output reaches action, and action changes later sensory evidence. A 2 March 2024 Internet Archive capture independently preserves that article at its historical public URL . 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.
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Micah Blumberg (2026) studied this question.
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