Scientists characterized the largest sample of a neural circuit to date to improve artificial intelligence models and better ...

For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

Abstract: Accurate segmentation of brain tumors across multiple MRI sequences is essential for diagnosis, treatment planning, and clinical decision-making. In this paper, I propose a cutting-edge ...

Modern imaging is contributing significantly to giving us a better understanding of how our brains work. In the long term, this will also help us to treat learning disorders in a more targeted way and ...

Abstract: Functional connectivity (FC) networks based on resting-state functional magnetic imaging (rs-fMRI) are reliable and sensitive for brain disorder diagnosis. However, most existing methods are ...