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Blair Kaneshiro
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A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification
B Kaneshiro, MP Guimaraes, HS Kim, AM Norcia, P Suppes
PloS one 10 (8), e0135697, 2015
1492015
Natural music evokes correlated EEG responses reflecting temporal structure and beat
B Kaneshiro, DT Nguyen, AM Norcia, JP Dmochowski, J Berger
NeuroImage 214, 116559, 2020
642020
Armed in ARMY: A Case Study of How BTS Fans Successfully Collaborated to #MatchAMillion for Black Lives Matter
SY Park, N Santero, B Kaneshiro, JH Lee
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021
452021
NMED-T: A Tempo-Focused Dataset of Cortical and Behavioral Responses to Naturalistic Music.
S Losorelli, DT Nguyen, JP Dmochowski, B Kaneshiro
ISMIR, 339-346, 2017
392017
Tunes Together: Perception and Experience of Collaborative Playlists
SY Park, A Laplante, JH Lee, B Kaneshiro
Proceedings of the 20th International Society for Music Information ¡¦, 2019
192019
Decoding neurally relevant musical features using Canonical Correlation Analysis
N Gang, B Kaneshiro, J Berger, JP Dmochowski
Proceedings of the 18th International Society for Music Information ¡¦, 2017
19*2017
Neuroimaging Methods for Music Information Retrieval: Current Findings and Future Prospects
B Kaneshiro, JP Dmochowski
Proceedings of the 16th International Society for Music Information ¡¦, 2015
172015
Neural dynamics underlying coherent motion perception in children and adults
C Manning, B Kaneshiro, PJ Kohler, M Duta, G Scerif, AM Norcia
Developmental cognitive neuroscience 38, 100670, 2019
152019
Naturalistic Music EEG Dataset - Hindi (NMED-H)
B Kaneshiro, DT Nguyen, JP Dmochowski, AM Norcia, J Berger
Stanford Digital Repository, 2016
152016
Social Music Curation That Works: Insights from Successful Collaborative Playlists
SY Park, B Kaneshiro
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-27, 2021
142021
Characterizing Listener Engagement with Popular Songs Using Large-Scale Music Discovery Data
B Kaneshiro, F Ruan, CW Baker, J Berger
Frontiers in Psychology 8, 416, 2017
142017
I Said it First: Topological Analysis of Lyrical Influence Networks
J Atherton, B Kaneshiro
Proceedings of the 17th International Society for Music Information ¡¦, 2016
142016
Inter-subject Correlation While Listening to Minimalist Music: A Study of Electrophysiological and Behavioral Responses to Steve Reich's Piano Phase
T Dauer, DT Nguyen, N Gang, JP Dmochowski, J Berger, B Kaneshiro
Frontiers in Neuroscience 15, 2021
132021
Distinct neural sources underlying visual word form processing as revealed by steady state visual evoked potentials (SSVEP)
F Wang, B Kaneshiro, CB Strauber, L Hasak, QTH Nguyen, A Yakovleva, ...
Scientific reports 11 (1), 18229, 2021
122021
Inter-subject EEG correlation reflects time-varying engagement with natural music
B Kaneshiro, DT Nguyen, AM Norcia, JP Dmochowski, J Berger
bioRxiv, 2021.04. 14.439913, 2021
122021
Time-resolved correspondences between deep neural network layers and EEG measurements in object processing
NCL Kong, B Kaneshiro, DLK Yamins, AM Norcia
Vision Research 172, 27-45, 2020
112020
Toward an Objective Measure of Listener Engagement with Natural Music Using Inter-Subject EEG Correlation
B Kaneshiro, JP Dmochowski, AM Norcia, J Berger
International Conference on Music Perception and Cognition, 2014
11*2014
An Analysis of User Behavior in Co-Curation of Music Through Collaborative Playlists
SY Park, B Kaneshiro
Extended Abstracts for the Late-Breaking Demo Session of the 18th ¡¦, 2017
102017
Tap-It: An iOS app for sensori-motor synchronization experiments
HS Kim, B Kaneshiro, J Berger
12th International Conference on Music Perception and Cognition ¡¦, 2012
102012
Toward an Objective Neurophysiological Measure of Musical Engagement
B Kaneshiro
Stanford University, 2016
92016
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