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Language models for cognitive (neuro)science: Two success stories and a warning| title | Language models for cognitive (neuro)science: Two success stories and a warning |
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| start_date | 2025/02/14 |
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| schedule | 11h30 |
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| online | no |
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| location_info | amphi Dussane |
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| details | Séminaire Measuring and predicting structure processing in sounds and language |
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| summary | Professor Heilbron studies how artificial neural networks can be used as a model of cognitive processing. He is an expert on predictive coding as well as encoding models (prediction of brain activity from model activity). His work spans across music (Kern et al. Elif 2022) and language (Heilbron et al. PNAS 2022). Recently, he has been questioning if language models and the brain perform similar predictions. Although next-word prediction is the key element of good encoding models, it remains unknown if biological and artificial neural networks implement the same predictive coding algorithm. Professor Heilbron will consequently present two detailed analyses of how good language models are in modeling results from cognitive neuroscience. |
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| responsibles | Boubenec |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2025/02/10 13:44 UTC |
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