This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

What Is A Recurrent Neural Network (RNN)? Recurrent Neural Networks (RNNs) are artificial neural networks designed to handle sequential data like text, speech or financial records. Unlike traditional ...

Yihan Wang (left), a Ph.D. student in UW’s Doctoral Neuroscience Program, and Qian-Quan Sun, a UW professor of zoology and physiology, examine a mouse brain image captured with the UW Microscopy ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

Learning how to predict future events from patterns of past events is a critical challenge in the field of artificial intelligence. As machine learning pioneer Yann LeCun writes, “prediction is the ...

A recurrent neural network structure exists in the most important part of the brain -- the frontal cortex -- and this network is less complex than has been thought and mostly unidirectional, new ...