Jessica A F Thompson
Title
Cited by
Cited by
Year
Human cortical responses to slow and fast binaural beats reveal multiple mechanisms of binaural hearing
B Ross, T Miyazaki, J Thompson, S Jamali, T Fujioka
Journal of neurophysiology 112 (8), 1871-1884, 2014
352014
Population codes representing musical timbre for high-level fMRI categorization of music genres
M Casey, J Thompson, O Kang, R Raizada, T Wheatley
Machine Learning and Interpretation in Neuroimaging, 34-41, 2012
302012
Sound envelope encoding in the auditory cortex revealed by neuromagnetic responses in the theta to gamma frequency bands
T Miyazaki, J Thompson, T Fujioka, B Ross
Brain Research, 2013
212013
Digital Document Image Retrieval Using Optical Music Recognition.
A Hankinson, JA Burgoyne, G Vigliensoni, A Porter, J Thompson, W Liu, ...
ISMIR, 577-582, 2012
142012
Searching the Liber Usualis: Using COUCHDB and ELASTICSEARCH to query graphical music documents
J Thompson, A Hankinson, I Fujinaga
Proceedings of the 12th International Society for Music Information …, 2011
102011
Using ACE XML 2.0 to store and share feature, instance and class data for musical classification
C McKay, JA Burgoyne, J Thompson, I Fujinaga
Proceedings of the International Society for Music Information Retrieval …, 2009
102009
How transferable are features in convolutional neural network acoustic models across languages?
JAF Thompson, M Schönwiesner, Y Bengio, D Willett
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
92019
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
JAF Thompson, Y Bengio, M Schoenwiesner
arXiv preprint arXiv:1912.02260, 2019
82019
MUSIC IMAGERY INFORMATION RETRIEVAL BRINGING THE SONG ON YOUR MIND BACK TO YOUR EARS
S Stober, J Thompson
13th International Conference on Music Information Retrieval (ISMIR'12)-Late …, 2012
72012
Additions and improvements to the ACE 2.0 music classifier
J Thompson, C McKay, JA Burgoyne, I Fujinaga
Proceedings of the International Society for Music Information Retrieval …, 2009
72009
How can deep learning advance computational modeling of sensory information processing?
JAF Thompson, Y Bengio, E Formisano, M Schönwiesner
arXiv preprint arXiv:1810.08651, 2018
52018
Audio stimulus reconstruction using multi-source semantic embedding
J Thompson, M Casey, L Torresani
Poster presented at Neural Information Processing Systems Workshop on …, 2013
52013
Neural decoding of subjective music listening experiences
J Thompson
DARTMOUTH COLLEGE, 2013
42013
Training neural networks to recognize speech increased their correspondence to the human auditory pathway but did not yield a shared hierarchy of acoustic features
JAF Thompson, Y Bengio, E Formisano, M Schönwiesner
bioRxiv, 2021
22021
Forms of explanation and understanding for neuroscience and artificial intelligence
JAF Thompson
PsyArXiv, 2021
2021
Characterizing and comparing acoustic representations in convolutional neural networks and the human auditory system
JAF Thompson
2020
Towards a common theory of explanation for artificial and biological intelligence
JAF Thompson
2018
Reconstructing musical audio features from continuous single-trial EEG
J Thompson, M Casey
Psychophysiological and Behavioural Responses to Violations of Musical Tuning Schemas
J Thompson, J Wild, M Benovoy, M Miller, S McAdams
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Articles 1–19