| 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 | 38 | 2014 |
| 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 | 34 | 2012 |
| 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 | 22 | 2013 |
| Digital Document Image Retrieval Using Optical Music Recognition. A Hankinson, JA Burgoyne, G Vigliensoni, A Porter, J Thompson, W Liu, ... ISMIR, 577-582, 2012 | 14 | 2012 |
| 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 | 12 | 2019 |
| 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 | 12 | 2019 |
| 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 | 11 | 2011 |
| 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 | 10 | 2009 |
| 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 | 9 | 2012 |
| 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 | 7 | 2009 |
| 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 | 6 | 2018 |
| Neural decoding of subjective music listening experiences J Thompson DARTMOUTH COLLEGE, 2013 | 5 | 2013 |
| Audio stimulus reconstruction using multi-source semantic embedding J Thompson, M Casey, L Torresani Neural Information Processing Systems workshop on Machine Learning and …, 2013 | 4 | 2013 |
| 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 | 2 | 2021 |
| Musical neurosemantic decoding using online weighted approximate-rank pairwise loss optimization in a joint semantic space J Thompson, M Casey, L Torresani Neural Information Processing Systems (NIPS) workshop on Machine Learning …, 2012 | 2 | 2012 |
| Characterizing and comparing acoustic representations in convolutional neural networks and the human auditory system JAF Thompson | 1 | 2020 |
| Forms of explanation and understanding for neuroscience and artificial intelligence JAF Thompson PsyArXiv, 2021 | | 2021 |
| 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 | | |
Ichiro FujinagaAssociate Professor, Music Technology Area, Schulich School of Music, McGill UniversityVerified email at mcgill.ca
