Andrew M Saxe (Andrew Saxe)

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Artificial Intelligence

Liquid Chromatography

Depressive Symptoms

Decision Making

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

Nature neuroscience

Nature reviews. Neuroscience

University of Oxford

Stanford University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Oxford Nov 01 2019

United Kingdom

Sir Henry Dale Fellow :: Department of Experimental Psychology

University of Oxford Jul 01 2018 - Jul 01 2019

United Kingdom

Postdoctoral Research Associate :: Experimental Psychology

Harvard University Jun 15 2015 - Jun 30 2018

United States

Swartz Postdoctoral Fellow in Theoretical Neuroscience :: Center for Brain Science

Education History

Stanford University - Jun 14 2015

United States

PHD :: Electrical Engineering

Publications

Javier Masís, Travis Chapman, Juliana Y Rhee, David D Cox, Andrew M Saxe
Strategically managing learning during perceptual decision making. eLife 12 (2023)
Javier Masís, Travis Chapman, Juliana Y Rhee, David D Cox, Andrew M Saxe
Strategically managing learning during perceptual decision making. eLife 12 (2023)
Javier Masís, Travis Chapman, Juliana Y Rhee, David D Cox, Andrew M Saxe
Strategically managing learning during perceptual decision making. eLife 12 (2023)
Weinan Sun, Madhu Advani, Nelson Spruston, Andrew M Saxe, James E Fitzgerald
Organizing memories for generalization in complementary learning systems. Nature neuroscience (2023)
Javier Masís, Travis Chapman, Juliana Y Rhee, David D Cox, Andrew M Saxe
Strategically managing learning during perceptual decision making. eLife 12 (2023)
Andrew M Saxe, Stephanie Nelli, Christopher Summerfield
If deep learning is the answer, what is the question? Nature reviews. Neuroscience 22 (1) (2020)
Andrew M Saxe, James L McClelland, Surya Ganguli
A mathematical theory of semantic development in deep neural networks. Proceedings of the National Academy of Sciences of the United States of America 116 (23) (2019)