Mitochondrial enzyme's atomic-level structure reveals how it processes RNA

Researchers at the Department of Cell and Molecular Biology, Karolinska Institutet have captured the first detailed molecular ...
Frontiers

High-Dimensional Representations in Brain and Machine: Vector Symbolic Architectures for Neural Computation

Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...
Morning Overview on MSN

Scientists just found a startling secret inside the human mind

The human mind is turning out to be far stranger and more intricate than the tidy diagrams in old biology textbooks ever ...
eLife

Biophysical network modeling of temporal and stereotyped sequence propagation of neural activity in the premotor nucleus HVC

Songbird HVC sequences arise from a balance of ionic currents and structured inhibition, providing a mechanistic framework for understanding cortical sequence generation.
IEEE

Enhancing Graph Neural Networks for Graph Classification via Structure-Guided Adaptor

Abstract: Graph classification is a fundamental task in graph machine learning, aiming to categorize entire graphs based on their structural information and node attributes. The graph classification ...
IEEE

A Data-Driven Distributed Recurrent Neural Network for a Collaborative System of Multiple Redundant Manipulators With Unknown Structure

Abstract: This article proposes a novel data-driven distributed recurrent neural network (DDD-RNN) based on neurodynamics principles to address the challenge of precise collaborative motion generation ...
EurekAlert!

A brain-like chip interprets 'neural network connectivity' in real time

Dr. Jongkil Park and his team of the Semiconductor Technology Research Center at the Korea Institute of Science and Technology (KIST) have presented a new approach that mimics the brain's learning ...