Connectomics can be used to assess the structure of neural circuits, and the connectivity information that is revealed can illustrate how information moves in a network. "This paper demonstrates how ...

More information: Qianying Wu et al, A hierarchical trait and state model for decoding dyadic social interactions, Scientific Reports (2025). DOI: 10.1038/s41598-025-95916-9 ...

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works. In this article, you’ll learn the basics ...

Simone Betteti, Giacomo Baggio, Francesco Bullo, Sandro Zampieri. Input-driven dynamics for robust memory retrieval in Hopfield networks. Science Advances, 2025; 11 (17) DOI: 10.1126/sciadv.adu6991 ...

Artificial neural networks are a form of deep learning and one of the pillars of modern-day AI. The best way to really get a grip on how these things work is to build one. This article will be a ...