Graduate training in neuroscience at NYU Langone is multidisciplinary and collaborative and spans basic, translational, and clinical research.

Identifying emerging research topics is a challenging task. This study presents a novel methodology for the future prediction of emerging research topics, employing Graph Neural Networks (GNNs). The ...

Page from Masamune Shirow, Ghost in the Shell (translated by Studio Proteus), 1991. © the artist / Kodansha Co, Ltd. All ...

How a grad student got LHC data to play nice with quantum interference New approach is already having an impact on the experiment’s plans for future work.

A brain–computer interface (BCI) serves as a direct communication channel between brain activity and external devices, typically a computer or robotic limb. Advances in technology have led to the ...

Poster Session I Thursday May 22, 2025 7:30 PM - 8:30 PM ET Keyword: Vision Abstract: Previously, we found distinct neural mechanisms for conscious and unconscious tool representations using ...

Energy and memory: A new neural network paradigm A dynamic energy landscape is at the heart of theorists' new model of memory retrieval Date: May 14, 2025 Source: University of California - Santa ...

Moghar, A. and Hamiche, M. (2020) Stock Market Prediction Using LSTM Recurrent Neural Network. Procedia Computer Science, 170, 1168-1173.

This talk will explore how large-scale self-supervised learning, combined with our latest multimodal neurotechnology—the newly released Muse integrating EEG and functional near-infrared spectroscopy ...

The Data Science Lab Neural Network Quantile Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression.

Celebrate the Philadelphia Eagles' 2025 Super Bowl victory over the Chiefs with posters and a collector's book from USA TODAY Network.