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

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations — it’s a triumph of your associative memory, in which one piece of information (the first few ...

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing ...

Skoltech scientists have devised a mathematical model of memory. By analyzing its new model, the team came to surprising conclusions that could prove useful for robot design, artificial intelligence, ...

When you try to solve a math problem in your head or remember the things on your grocery list, you’re engaging in a complex neural balancing act — a process that, according to a new study by Brown ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...

Scientists have uncovered a stepwise system that guides how the brain sorts and stabilizes lasting memories. By tracking brain activity during virtual reality learning tasks, researchers identified ...

Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason more deeply without increasing their size or energy use. The work, ...