Over the past decade, intensive studies have shown that the brain's meningeal lymphatic system acts as the brain's "waste ...

Merging neurons with semiconductors signals a shift in brain–machine interface design and neuromorphic engineering.

Neuroplasticity means a process that allows nerve cells to change or adjust. Neuroplasticity can involve functional changes due to brain damage or structural changes in learning.

This explainer outlines how neurons and glial cells coordinate electrical and chemical signals to form complex brain networks that govern thought, behavior, and consciousness. It also explores how ...

Triggered Hardware Trojan Attack on Spiking Neural Networks” was published by researchers at Sorbonne Universite, CNRS and ...

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition in which affected individuals experience ...

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

With AI, “we are in the process not of re-creating human biology,” said Thomas Naselaris, a neuroscientist at the University ...

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

linking neural activity to synaptic wiring across an entire brain region. Detailed in a recent Nature article, the Machine Intelligence from Cortical Networks (MICrONS) dataset combines dense calcium ...

“Unlike for the traditional artificial neuron, the output of a liquid network neuron is ... in a liquid network are more than the simple weights in traditional neural networks; they also are governed ...