Brain-like language processing via a shallow untrained multihead attention network

B AlKhamissi, G Tuckute, A Bosselut… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have been shown to be effective models of the human
language system, with some models predicting most explainable variance of brain activity in …

Spatial sampling of deep neural network features improves encoding models of foveal and peripheral visual processing in humans

N Mueller, HS Scholte, IIA Groen - bioRxiv, 2024 - biorxiv.org
Abstract Deep Neural Networks (DNNs) are increasingly being used to build encoding
models to predict neural data recorded during visual stimulation. Their ability to process …