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 | 59 | 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 | 35 | 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 | 30 | 2013 |
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 | 23 | 2019 |
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis JAF Thompson, Y Bengio, M Schönwiesner arXiv preprint arXiv:1912.02260, 2019 | 21 | 2019 |
Digital Document Image Retrieval Using Optical Music Recognition. A Hankinson, JA Burgoyne, G Vigliensoni, A Porter, J Thompson, W Liu, ... ISMIR, 577-582, 2012 | 18 | 2012 |
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 | 14 | 2011 |
Forms of explanation and understanding for neuroscience and artificial intelligence JAF Thompson Journal of Neurophysiology 126 (6), 1860-1874, 2021 | 12 | 2021 |
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 | 10 | 2018 |
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 |
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 | 5 | 2021 |
Neural decoding of subjective music listening experiences J Thompson DARTMOUTH COLLEGE, 2013 | 5 | 2013 |
Learning to count visual objects by combining" what" and" where" in recurrent memory JAF Thompson, H Sheahan, C Summerfield NeuRIPS 2022 Workshop on Gaze Meets ML, 2022 | 4 | 2022 |
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 |
Characterizing and comparing acoustic representations in convolutional neural networks and the human auditory system JAF Thompson | 3 | 2020 |
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 |
Thinking beyond the ventral stream: Comment on Bowers et al. C Summerfield, JAF Thompson Behavioral and Brain Sciences 46, e409, 2023 | 1 | 2023 |
Noise increases the correspondence between artificial and human vision JAF Thompson PLoS Biology 19 (12), e3001477, 2021 | 1 | 2021 |