Computational Neuroscience is a rapidly evolving field that seeks to understand the brain's complex functions through ...

Research reveals 24 distinct cortical networks through fMRI, offering a comprehensive view of brain activity during naturalistic tasks and cognitive processes.

An innovative planar spoof plasmonic neural network (SPNN) platform capable of directly detecting and processing terahertz (THz) electromagnetic signals has been unveiled by researchers at City ...

This valuable study investigates how the neural representation of individual finger movements changes during the early period of sequence learning. By combining a new method for extracting features ...

Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.

This important study partially fills the gap in the knowledge of olfaction at the level of the Anterior Olfactory Nucleus (AON) and Piriform Cortex with functional magnetic resonance imaging, ...

Quantum machine learning methods, including QSVM and QCNN, show promise in manufacturing by enhancing anomaly detection and ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Artificial Intelligence continues to shape various industries, with new and improved algorithms emerging each year. In 2024, ...

Computer vision is normally unable to simulate psychological and neurological aspects of human vision, including our ability ...

Now an AI neural network has identified something unusual about a face in a Raphael painting: It wasn't actually painted by ...