Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

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

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

This article proposes a novel parametric modeling technique incorporating a joint polynomial-transfer function with neural networks (short for neuro-PTF) for electromagnetic (EM) behaviors of ...

The extended state observer (ESO)-based deadbeat active disturbance rejection control (DB-ADRC) is commonly employed for high-performance torque or current control, however, it performs poorly when ...

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