eLife

Functional connectivity-based attractor dynamics of the human brain in rest, task, and disease

Functional connectivity reveals brain attractors that match predictions of free‑energy‑minimizing attractor theory, yielding an interpretable generative model of brain dynamics in rest, task, and ...
Opinion

A writing professor’s new task in the age of AI: Teaching students when to struggle

I was early to the generative AI wave in higher education: I was among the first professors who teach writing to publish in an academic journal about generative AI and critical thinking, and I am now ...
IEEE

Dual-Task Learning for Real-Time Semantic Segmentation in Autonomous Driving

Abstract: Drivable Area Segmentation and Lane Detection constitute crucial tasks for the Visual Perception system of an Autonomous Vehicle. The majority of the approaches dealing with these tasks are ...
IEEE

TAFL: Task-Agnostic Feature Learner for Efficient Adaptation to Unseen Clinical Tasks Based on Whole-Slide Histopathological Images

Abstract: Multi-task learning (MTL) has become a research hotspot for the analysis of whole-slide histopathological images (WSIs) since it can capture the shared representations of different tasks for ...