J. Thompson

Forms of explanation and understanding for neuroscience and artificial intelligence

J. Thompson, 2021 .

Population Codes Representing Musical Timbre for High-Level fMRI Categorization of Music Genres

Michael A. Casey, Rajeev D. S. Raizada, Jessica Thompson, 2011, MLINI.

Training neural networks to recognize speech increased their correspondence to the human auditory pathway but did not yield a shared hierarchy of acoustic features

M. Schönwiesner, E. Formisano, Y. Bengio, 2021, bioRxiv.

Sound envelope encoding in the auditory cortex revealed by neuromagnetic responses in the theta to gamma frequency bands

Bernhard Ross, Jessica Thompson, Takako Fujioka, 2013, Brain Research.

Digital Document Image Retrieval Using Optical Music Recognition

Wendy Liu, Ichiro Fujinaga, John Ashley Burgoyne, 2012, ISMIR.

How can deep learning advance computational modeling of sensory information processing? pdf

Yoshua Bengio, Elia Formisano, Marc Schönwiesner, 2018, ArXiv.

The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis pdf

Yoshua Bengio, Jessica Thompson, Marc Schoenwiesner, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Audio stimulus reconstruction from brain activity using multi-source semantic embedding

L. Torresani, Jessica Thompson, M. Casey, 2013 .

THE USE OF TAGS FOR BROWSING PURPOSES IN PUBLIC LIBRARY CATALOGS

Jessica Thompson, J. Thompson, 2010 .