A study by researchers at Baylor College of Medicine may change the way we understand memory. Until now, memories have been explained by the activity of neurons that respond to learning events and ...

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.

A new study changes the way we understand memory. Until now, memories have been explained by the activity of brain cells called neurons that respond to learning events and control memory recall.

Declarative memory encoding, consolidation, and retrieval require the integration of elements encoded in widespread cortical locations. The mechanism whereby such “binding” of different components of ...

The human brain’s ability to store and recall information remains one of science’s most intriguing areas of study. From remembering where we placed our keys to preserving precious moments with loved ...

To measure brain activity, tiny silicon probes were implanted into the hippocampus that monitored the electrical signals from neurons as well as known patterns such as sharp-wave ripples (SWRs) – an ...

Memory acts as the invisible thread linking our past experiences to present awareness, shaping who we are and how we learn. Far from being fixed, though, memory is a dynamic system. It's constantly ...

A study published in Nature by researchers at Baylor College of Medicine changes the way we understand memory. Until now, memories have been explained by the activity of brain cells called neurons ...