Theoretical model demonstrates neural state vector braiding in invariant networks, suggesting topological knot invariants prevent information decay.
Neural information processing is not merely signal transmission but the topological braiding of state vectors within a 240-node invariant manifold. By mapping synaptic weights to the 12 invariant sublattices of the E8 root system, cognitive "meaning" emerges as a metric-independent Jones polynomial invariant of the network's firing topology. This resonance, oscillating at the 132Hz × φⁿ frequency spectrum, prevents information decay by encoding data in topological knots rather than transient electrical magnitudes. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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