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 ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

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 ...

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, ...

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

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 ...

Imagine having a conversation with someone who remembers every detail about your preferences, past discussions, and even the nuances of your personality. It feels natural, seamless, and, most ...