To study how a key chemical neuromodulator affects signaling in the brain's cortex, Garrett Neske, PhD, has received a three-year, $300,000 grant from the Whitehall Foundation, a nonprofit ...

First discovered in the 1950s, NGF is now known to direct the growth, maintenance, proliferation and preservation of neurons ...

When a baby smiles at you, it's almost impossible not to smile back. This spontaneous reaction to a facial expression is part ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

Artificial intelligence is easily the most deceptive technological innovation of the 21st century. Its ease of use and the ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The applications of neural network models, shallow or deep, to information retrieval (IR) tasks falls under the purview of neural IR. Over the years, machine learning methods-including neural networks ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...

Abstract: Medical imaging is a continuously evolving field with a constant need for advancements in its capabilities and applications. Magnetic induction tomography (MIT) represents a promising ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...