Author

Camila Kolling

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#artificial intelligence Preprint Oct 2026

SCRIBE: Scalable Contextual Representations of Interpretable Brain-Grounded Semantics

Understanding how the human brain constructs meaning from real-world language remains a fundamental challenge, as semantics depend on context that varies in natural settings. To enable the study of real-world linguistic meaning in the brain, we introduce SCRIBE, a framework grounded in a neuroscience-informed semantic...

Camila Kolling, Omer Moussa, Emin Çelik et al. · 1 citation

#artificial intelligence Preprint Oct 2026

Decomposing Brain-LLM Alignment with Interpretable Semantic Representations

Large language models (LLMs) predict neural responses during naturalistic language comprehension, but the linguistic information underlying this brain alignment remains difficult to interpret. We use SCRIBE, an interpretable contextual semantic representation spanning 65 neurocognitively grounded semantic properties, a...

Camila Kolling, Mariya Toneva · 0 citations