The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...

Abstract Artificial neural networks (ANNs) are a powerful class of computational models for unravelling neural mechanisms of brain function. However, for neural control of movement, they currently ...

Neural networks are therefore a specialized kind of directed graph. Many neural networks distinguish between three layers of nodes: input, hidden, and output.

This article, for the first time, extends the zeroing neural network (ZNN) method to address the problem of dynamic quaternion-valued matrix inversion. Due to the noncommutative property of quaternion ...