Researchers from the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) and Duke University ...

Dopamine plays a more complex and precise role in brain function than previously thought: it not only enhances neural ...

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 ...

For decades, dopamine has been celebrated in neuroscience as the quintessential "reward molecule"—a chemical herald of ...

In a study supported by the National Institutes of Health (NIH), researchers revealed the structural underpinnings of memory formation across a broad network of neurons in the mouse brain. This work ...

Every day, our brain takes countless fleeting experiences - from walks on the beach to presentations at work - and transforms them into long-term memories. How exactly this works remains a mystery, ...

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 ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...