Modern Views of Machine Learning for Precision Psychiatry

no code implementations • 4 Apr 2022 • Zhe Sage Chen, Prathamesh, Kulkarni, Isaac R. Galatzer-Levy, Benedetta Bigio, Carla Nasca, Yu Zhang

In this review, we provide a comprehensive review of the ML methodologies and applications by combining neuroimaging, neuromodulation, and advanced mobile technologies in psychiatry practice.

BIG-bench Machine Learning Explainable Artificial Intelligence (XAI)

On the role of theory and modeling in neuroscience

no code implementations • 30 Mar 2020 • Daniel Levenstein, Veronica A. Alvarez, Asohan Amarasingham, Habiba Azab, Zhe Sage Chen, Richard C. Gerkin, Andrea Hasenstaub, Ramakrishnan Iyer, Renaud B. Jolivet, Sarah Marzen, Joseph D. Monaco, Astrid A. Prinz, Salma Quraishi, Fidel Santamaria, Sabyasachi Shivkumar, Matthew F. Singh, Roger Traub, Horacio G. Rotstein, Farzan Nadim, A. David Redish

In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods.

Descriptive Philosophy

Large-scale Foundation Models and Generative AI for BigData Neuroscience

no code implementations • 27 Oct 2023 • Ran Wang, Zhe Sage Chen

Recent advances in machine learning have made revolutionary breakthroughs in computer games, image and natural language understanding, and scientific discovery.

Data Augmentation Natural Language Understanding +2