People who lose their visual imagination after a stroke share damage to a single neural circuit. A new analysis maps these ...

A new streamlined AI model accurately predicts primate visual neuron responses while exposing how simple features combine ...

During the acquisition of correct rejection response, rankings of functional connection separated for cortical and subcortical regions, which is predictive of the peak timing of visual information ...

The visual system is hierarchically organised into different areas. The lower visual areas see small parts of the visual field, and they are sensitive to very simple features, such as edges and their ...

Researchers use compressed AI models to discover "dot-detecting" neurons in the macaque visual cortex, offering a new path for Alzheimer’s therapy.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...

In a development for artificial intelligence, researchers have unveiled a synaptic device array that shows promise for ...

The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...

The goal of a machine learning regression problem is to predict a single numeric value. Quantile regression is a variation where you are concerned with under-prediction or over-prediction. I'll phrase ...