Author

Michael D. Nunez

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#artificial intelligence Preprint Sep 2026

Which Attention Heads are like the Human Head? Not the Ones that Compute

Alignment and causation dissociate: brain-aligned heads contribute to performance, but their removal is substantially less disruptive than removal of heads selected via attribution patching, and FV-ranked removal is substantially more disruptive than brain-ranked removal.

Christopher Pinier, Gustaw Opielka, Hannes Rosenbusch et al. · 0 citations

Are LLMs tools to understand human neurocognition during abstract reasoning?

It is proposed that the best-performing LLMs can be used as models to understand human performance, response times, and the timing of Event-Related Potentials (ERPs) as recorded by electroencephalography (EEG) during the task.

Christopher Pinier, Claire E. Stevenson, Michael D. Nunez · 0 citations