A vast literature on brain encoding has effectively harnessed deep neural network models
for accurately predicting brain activations from visual or text stimuli. Unfortunately, there is …

Can we obtain insights about the brain using AI models? How is the information in deep
learning models related to brain recordings? Can we improve AI models with the help of …

Large language models (LLMs) have complicated internal dynamics, but induce
representations of words and phrases whose geometry we can study. Human language …

In recent years, representations from brain activity patterns and pre-trained language
models have been linked to each other based on neural fits to validate hypotheses about …

Seeking plausible models for brain computation has been a continuing effort in brain
encoding and decoding. Most prior works have mapped the association between stimulus …

Cognitive brain mapping is enjoying its growth with the availability of large open data
sharing efforts as well as the application of modern machine learning and deep learning …