2 citations · 3 across the 3 of their papers we have counts for
3 papers
Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG
Aditya R. Vaidya, Richard J. Antonello, Alexander G. Huth
Neuroscientists have recently turned to intracranial brain recording methods, like electrocorticography (ECoG), for human experiments because of the fine spatial and temporal resol…
BrainWavLM: Fine-tuning Speech Representations with Brain Responses to Language
Nishitha Vattikonda, Aditya R. Vaidya, Richard J. Antonello +1
Speech encoding models use auditory representations to predict how the human brain responds to spoken language stimuli. Most performant encoding models linearly map the hidden stat…
Humans and language models diverge when predicting repeating text
Aditya R. Vaidya, Javier Turek, Alexander G. Huth
Language models that are trained on the next-word prediction task have been shown to accurately model human behavior in word prediction and reading speed. In contrast with these fi…