eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
BMJ Global Health

Impact analysis and evaluation of the Ethiopian Neonatal Network

The Ethiopian Neonatal Network (ENN) represents one of the first low-income country neonatal quality improvement (QI) ...
IEEE

PRA-Net: Polymorphic Representation-Aware Network for Accurate Cardiac Arrhythmia Detection From Electrocardiogram Signals

Abstract: Electrocardiogram (ECG) arrhythmia classification is of great significance for cardiologist-level disease diagnosis. However, it is challenging to perform cardiac arrhythmia detection ...

Foster Crown Enters 2026 as the Nation’s First Physician Representation Firm for Locum Tenens and Direct Contracting

NEW YORK, NY, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Foster Crown, a healthcare management and consulting firm, is entering 2026 with a bold and unprecedented model that is reshaping how ...
IEEE

A Graph Representation Learning Approach for Imbalanced Ship Type Recognition Using AIS Trajectory Data

Abstract: Marine transportation constitutes a vital segment of international trade logistics. Recognizing marine carrier ship types is essential for the governance and efficiency of the marine ...