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

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 ...

Imagine arriving at a busy location with people moving around and a multitude of visual and other sensory cues vying for your attention. How does the brain integrate such floods of sensory information ...

We're committed to providing free access to quality science. By registering and providing insight into your preferences you're joining a community of over 1m science interested individuals and help us ...

Chinese scientists have developed a novel neural network that enables artificial intelligence (AI) to form concepts from raw sensory data like sight and sound, simulating a fundamental aspect of human ...

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 results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex (male or female), age, ...