Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Conversation is a well-established diagnostic tool. For disorders such as Parkinson’s disease and amyotrophic lateral sclerosis, patient assessments include interviews during which observations are ...

Chemists and chemical biologists just keep dreaming up new ways to interfere with biomolecules. That research frequently leads to promising potential medicines, and there are more and more flavors of ...

Training and evaluation environment: Python 3.11.4, PyTorch 2.0.1, CUDA 12.2. Run the following command to install required packages. conda create -n pre python=3.11 ...

Abstract: Deep learning based person re-identification (re-id) models have been widely employed in surveillance systems. Recent studies have demonstrated that black-box single-modality and ...

Note: This codebase is heavily based on the MERU repo. We thank the MERU authors for their generous contributions. git clone https://github.com/samgregoost/atmg.git ...