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This study uses EEG to investigate how word predictability influences N400 brain responses across lexical categories, showing that content words exhibit greater N400 differences than function words, and decoding techniques outperform traditional ERP analysis.
Discusses the current trend in enterprise AI agent solutions favoring deterministic, auditable behavior over creative, dynamic LLM reasoning, questioning whether any creative agentic solutions exist.
This paper introduces the Gauge-Fixed Ordinal Network (GON), a temporal convolutional model that assigns consistent predictability scores across different dynamical systems by fixing the gauge freedom of ordinal scoring. The method transfers better than training from scratch on held-out systems, with zero-shot scores retaining ordinal structure at the stochastic boundary.