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Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context

arXiv cs.AI · 2026-08-24 Cached

This paper introduces a dual-tower architecture that integrates EEG data with literature-informed environmental priors for affective-state classification, demonstrating improved accuracy over EEG alone while highlighting methodological advances rather than causal exposure-affect associations.

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