The application of classification models to neural data – known as decoding – has become a standard technique in neurosciences, including electroencephalography (EEG) research. Unlike univariate ...

Researchers have introduced Annotatability—a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

In a new study, researchers describe a novel approach for a wireless communication network that can efficiently transmit, receive and decode data from thousands of microelectronic chips that are each ...

The Bayesian brain hypothesis is one of the most influential ideas in neuroscience. However, unstated differences in how Bayesian ideas are operationalized make it difficult to draw general ...