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

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 ...

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 ...

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

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 ...

For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...

Salk scientist Terrence Sejnowski will receive the inaugural World Digital Technology Academy Scientific Breakthrough Award ...