Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

Researchers have successfully altered human reward learning using non-invasive transcranial ultrasound stimulation directed at a deep brain structure linked to motivation.

Deep neural networks can perform wonderful feats, thanks to their extremely large and complicated web of parameters. But their complexity is also their curse: The inner workings of neural networks are ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...