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Brain-like language processing via a shallow untrained multihead attention network
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 …
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
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 …
models to predict neural data recorded during visual stimulation. Their ability to process …