A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...

In the past, when researchers modeled quadruped gaits — how four-legged organisms walk, run and move — gaits have been ...

We all have young, wounded parts living in our mind. These parts can be healed, with compassion and understanding.

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

How can ADHD be both a source of daily struggle for millions and a common trait among highly accomplished artists and ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

Neurobots—xenobots with neurons—show self-organized nervous systems and enhanced behaviors, revealing new insights into how ...

UC Santa Barbara researchers confirmed that parts of the neural network that inhibit movement in fruit flies plays a ...

A new study suggests that four psychoactive compounds work in surprisingly similar ways, and that they break down the ...