“Neuroscience is trying to map which parts of the brain ... a process called cross-subject encoding and decoding. This finding is important because it demonstrates the potential for broad applications ...

By turning neuroscience into a “big data” science ... Here are the two basic ones: encoding and decoding. With “encoding,” machine learning tries to predict the pattern of brain activity ...

Understanding how brain activity translates into behavior is one of neuroscience's most ambitious goals. While static methods provide a snapshot, they fail to capture the fluidity of brain signals.

Time-locked encoding was also observed for meaningless new words. However, even responses to human-made non-speech sounds such as laughing didn't show improved decoding with the dynamic time-locked ...

This makes sense, as decoding is an undisputed hallmark of early literacy. So, too, is encoding, decoding’s opposite, whereby a spoken word is broken down into its individual sounds in the act ...