Decoded circuits reveal how brain cell networks stabilize memory formation

Newly decoded brain circuits make memories more stable as part of learning, according to a study led by NYU Langone Health ...
American Association for the Advancement of Science (AAAS)

Prize winner’s research reveals how complex neural circuits are correctly wired during brain development

Using single-cell RNA sequencing and genetic screening, the researchers identified key surface proteins that mediate ...

Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
EurekAlert!

Faster and more reliable crystal structure prediction of organic molecules

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Frontiers

Brain-Inspired and neurally grounded algorithms in learning and control of advanced robots

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
IEEE

Fuzzy-Based Synchronization Control for Coupled Neural Networks Under Cyber Attacks via Intelligent Impulsive Algorithm

Abstract: This paper studies the fuzzy-based synchronization control problem of coupled neural networks under cyber attacks, where the considered attacks can block the communication links between ...
Frontiers

SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification

College of Information Science and Technology, Gansu Agricultural University, Lanzhou, China Introduction: Accurate identification of maize seed varieties is essential for enhancing crop yield and ...
IEEE

Revisiting Tropical Polynomial Division: Theory, Algorithms, and Application to Neural Networks

Abstract: Tropical geometry has recently found several applications in the analysis of neural networks with piecewise linear activation functions. This article presents a new look at the problem of ...