140 citations · 359 across the 24 of their papers we have counts for
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q-bio.NC2021
A roadmap to reverse engineering real-world generalization by combining naturalistic paradigms, deep sampling, and predictive computational models
Peer Herholz, Eddy Fortier, Mariya Toneva +3
Real-world generalization, e.g., deciding to approach a never-seen-before animal, relies on contextual information as well as previous experiences. Such a seemingly easy behavioral…
cs.CL2021★ 19 cited
Does injecting linguistic structure into language models lead to better alignment with brain recordings?
Mostafa Abdou, Ana Valeria Gonzalez, Mariya Toneva +2
Neuroscientists evaluate deep neural networks for natural language processing as possible candidate models for how language is processed in the brain. These models are often traine…