Blair Kaneshiro

CCRMA, Stanford University

Publications

In Progress | Papers | Proceedings | Software/Datasets | Talks/Posters | Workshops/Symposia | Invited Talks | Other

Publications in Progress

Duc T. Nguyen and Blair Kaneshiro (in review). AudExpCreator: A GUI-Based Matlab Tool for Designing and Creating Auditory Experiments with the Psychophysics Toolbox. [preprint] [code]

Bernard C. Wang, Anthony M. Norcia, and Blair Kaneshiro (in preparation). MatClassRSA: A Matlab Toolbox for M/EEG Classification and Visualization of Proximity Matrices. [preprint] [code]

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Peer-Reviewed Papers

Nick Gang, Blair Kaneshiro, Jonathan Berger, and Jacek P. Dmochowski (to appear). Decoding Neurally Relevant Musical Features Using Canonical Correlation Analysis. In Proceedings of the 18th International Society for Music Information Retrieval Conference, Suzhou, China. [preprint] [data] [code]

Blair Kaneshiro, Feng Ruan, Casey W. Baker, and Jonathan Berger (2017). Characterizing Listener Engagement with Popular Songs Using Large-Scale Music Discovery Data. Frontiers in Psychology 8:146. doi:10.3389/fpsyg.2017.00416 [web] [data]

Steven Losorelli, Duc T. Nguyen, Jacek P. Dmochowski, and Blair Kaneshiro (to appear). NMED-T: A Tempo-Focused Dataset of Cortical and Behavioral Responses to Naturalistic Music. In Proceedings of the 18th International Society for Music Information Retrieval Conference, Suzhou, China. [preprint] [data]

Jack Atherton and Blair Kaneshiro (2016). I Said It First: Topological Analysis of Lyrical Influence Networks. In Proceedings of the 17th International Society for Music Information Retrieval Conference, New York, USA. [pdf] [data]

Blair Kaneshiro and Jacek P. Dmochowski (2015). Neuroimaging Methods for Music Information Retrieval: Current Findings and Future Prospects. In Proceedings of the 16th International Society for Music Information Retrieval Conference, Málaga, Spain. [pdf]

Blair Kaneshiro, Marcos Perreau Guimaraes, Hyung-Suk Kim, Anthony M. Norcia, and Patrick Suppes (2015). A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification. PLoS ONE 10:8, e0135697. doi:10.1371/journal.pone.0135697 [web] [data]

Blair Kaneshiro, Hyung-Suk Kim, Jorge Herrera, Jieun Oh, Jonathan Berger, and Malcolm Slaney (2013). QBT-Extended: An Annotated Dataset of Melodically Contoured Tapped Queries. In Proceedings of the 14th International Society for Music Information Retrieval Conference, Curitiba, Brazil. [pdf] [web] [github]

Rebecca S. Schaefer, Shinichi Furuya, Leigh M. Smith, Blair Kaneshiro, and Petri Toiviainen (2012). Probing Neural Mechanisms of Music Perception, Cognition, and Performance Using Multivariate Decoding. Psychomusicology: Music, Mind, and Brain 22:2, 168-174. [pdf]

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Published Conference Proceedings

So Yeon Park and Blair Kaneshiro (to appear). An Analysis of User Behavior in Co-Curation of Music Through Collaborative Playlists. In Extended Abstracts for the Late-Breaking Demo Session of the 18th International Society for Music Information Retrieval Conference, Suzhou, China.

Nick Gang and Blair Kaneshiro (2016). A Feature-Based Approach to Modeling Expert Musical Insights: The Max Martin Coefficient. In Extended Abstracts for the Late-Breaking Demo Session of the 18th International Society for Music Information Retrieval Conference, New York, USA. [pdf]

Blair Kaneshiro, Duc T. Nguyen, Jacek P. Dmochowski, Anthony M. Norcia, and Jonathan Berger (2016). Neurophysiological and Behavioral Measures of Musical Engagement. In Proceedings of the 14th International Conference on Music Perception and Cognition, San Francisco, USA. [pdf]

Blair Kaneshiro, Jacek P. Dmochowski, Anthony M. Norcia, and Jonathan Berger (2014). Toward an Objective Measure of Listener Engagement with Natural Music Using Inter-Subject EEG Correlation. In Proceedings of the 13th International Conference on Music Perception and Cognition and the 5th Triennial Conference of the Asia-Pacific Society for the Cognitive Sciences of Music, Seoul, Korea. [pdf]

Kristin Kueter, Blair Kaneshiro, and Jonathan Berger (2014). Cherishing the Error: Clashing Schemas and Cognitive Bias in Piano Performance. In Proceedings of the 13th International Conference on Music Perception and Cognition and the 5th Triennial Conference of the Asia-Pacific Society for the Cognitive Sciences of Music, Seoul, Korea. [pdf]

Megha Makam, Blair Kaneshiro, and Jonathan Berger (2014). Capoeira Interaction as a Model of Expectation Formulation and Violation in Real-Time Improvised Performance. In Proceedings of the 13th International Conference on Music Perception and Cognition and the 5th Triennial Conference of the Asia-Pacific Society for the Cognitive Sciences of Music, Seoul, Korea. [pdf]

Blair Kaneshiro, Jonathan Berger, Marcos Perreau Guimaraes, and Patrick Suppes (2012). An Exploration of Tonal Expectation Using Single-Trial EEG Classification. In Proceedings of the 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music, Thessaloniki, Greece. [pdf]

Hyung-Suk Kim, Blair Kaneshiro, and Jonathan Berger (2012). Tap-It: An iOS App for Sensori-Motor Synchronization (SMS) Experiments. In Proceedings of the 12th International Conference on Music Perception and Cognition and the 8th Triennial Conference of the European Society for the Cognitive Sciences of Music, Thessaloniki, Greece. [pdf] [github]

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Software & Datasets

Steven Losorelli, Duc T. Nguyen, Jacek P. Dmochowski, and Blair Kaneshiro (2017). Naturalistic Music EEG Dataset - Tempo (NMED-T). Stanford Digital Repository. [web]

Duc T. Nguyen and Blair Kaneshiro (2017). AudExpCreator Software Package. Stanford Digital Repository. [web]

Jack Atherton and Blair Kaneshiro (2016). Lyrical Influence Networks Dataset (LIND). Stanford Digital Repository. [web]

Blair Kaneshiro, Duc T. Nguyen, Jacek P. Dmochowski, Anthony M. Norcia, and Jonathan Berger (2016). Naturalistic Music EEG Dataset - Hindi (NMED-H). Stanford Digital Repository. [web]

Hyung-Suk Kim, Blair Kaneshiro, and Anthony M. Norcia (2016). Software Tools in R for Visualizing Proximity Matrices. Stanford Digital Repository. [web]

Blair Kaneshiro, Steinunn Arnardóttir, Anthony M. Norcia, and Patrick Suppes (2015). Object Category EEG Dataset. Stanford Digital Repository. [web]

Blair Kaneshiro, Duc T. Nguyen, Jonathan Berger, and Patrick Suppes (2015). EEG-Recorded Responses to Short Chord Progressions. Stanford Digital Repository. [web]

Blair Kaneshiro, Marcos Perreau Guimaraes, Hyung-Suk Kim, Anthony M. Norcia, and Patrick Suppes (2015). EEG data analyzed in "A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification". Stanford Digital Repository. [web]

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Talks & Posters

Tysen Dauer, Blair Kaneshiro, Duc T. Nguyen, Nick Gang, and Jonathan Berger (2017). Engaging with Reich: Using Inter-Subject Correlations to Find Patterns of Engagement with Early Minimalism. Poster presentation at Stanford Music and the Brain Symposium 2017: Engagement, Stanford, USA.

Tysen Dauer, Blair Kaneshiro, Duc T. Nguyen, Nick Gang, and Jonathan Berger (2017). Measuring Patterns of Engagement with Minimalist Music Using Inter-Subject EEG Correlation. Spoken presentation at the biennial meeting of the Society for Music Perception and Cognition, San Diego, USA.

Nick Gang, Blair Kaneshiro, Jonathan Berger, and Jacek P. Dmochowski (2017). Deriving Maximally Correlated Stimulus-to-Response Mappings Using Naturalistic Music and Ongoing EEG. Spoken presentation at the biennial meeting of the Society for Music Perception and Cognition, San Diego, USA.

Nick Gang, Blair Kaneshiro, Jonathan Berger, and Jacek P. Dmochowski (2017). Hybrid Encoding-Decoding of Stimulus Features and Cortical Responses During Natural Music Listening. Poster presentation at Stanford Music and the Brain Symposium 2017: Engagement, Stanford, USA.

Alan Y. Huang, Blair Kaneshiro, and Duc T. Nguyen (2017). Analyzing the Influence of Listener Characteristics on Physiological Responses to Music. Poster presentation at the biennial meeting of the Society for Music Perception and Cognition, San Diego, USA.

Blair Kaneshiro (2017). Music, Engagement, and the Brain. Spoken presentation at Stanford Music and the Brain Symposium 2017: Engagement, Stanford, USA.

Blair Kaneshiro, Tom Collins, Duc T. Nguyen, and Jonathan Berger (2017). Investigating the Impact of Tonal and Temporal Structure on Perception of Chord Progressions. Spoken presentation at the biennial meeting of the Society for Music Perception and Cognition, San Diego, USA.

Blair Kaneshiro and Jacek P. Dmochowski (2017). Exploring the Representation of Musical Beat in Ongoing EEG Using Component Analysis. Poster presentation at the biennial meeting of the Society for Music Perception and Cognition, San Diego, USA.

Blair Kaneshiro, Duc T. Nguyen, Jacek P. Dmochowski, Anthony M. Norcia, and Jonathan Berger (2017). Factors Determining Temporal Reliability of Ongoing EEG Responses to Naturalistic Music. Poster presentation at the OHBM 2017 Annual Meeting, Vancouver, Canada.

Steven Losorelli, Matthew Fitzgerald, Gabriella Musacchia, Blair Kaneshiro, and Nikolas Blevins (2017). Classification of Auditory Stimuli Using Auditory Evoked Potentials. Poster presentation at the ARO 2017 MidWinter Meeting, Baltimore, USA.

Steven Losorelli, Matthew Fitzgerald, Gabriella Musacchia, Blair Kaneshiro, and Nikolas Blevins (2017). Classification of Brainstem Auditory Evoked Responses to Music and Speech Sounds. Poster presentation at the biennial meeting of the Society for Music Perception and Cognition, San Diego, USA.

Duc T. Nguyen and Blair Kaneshiro (2017). A GUI-Based MATLAB Tool for Auditory Experiment Design and Creation. Poster presentation at Stanford Music and the Brain Symposium 2017: Engagement, Stanford, USA.

Vidya Rangasayee and Blair Kaneshiro (2017). Hot Days and Cool Songs: Impact of Local Weather on Music Choice. Poster presentation at Stanford Music and the Brain Symposium 2017: Engagement, Stanford, USA.

Bernard C. Wang and Blair Kaneshiro (2017). Comparing Representational Similarity Analysis Techniques for Studying the Processing of Tonal Categories. Poster presentation at the biennial meeting of the Society for Music Perception and Cognition, San Diego, USA.

Bernard C. Wang, Anthony M. Norcia, and Blair Kaneshiro (2017). MatClassRSA: A Matlab Toolbox for EEG Classification and RSA Visualization. Poster presentation at Stanford Music and the Brain Symposium 2017: Engagement, Stanford, USA.

Blair Kaneshiro and Casey W. Baker (2016). Musical Correlates of Large-Scale Song Discovery: A Shazam Study. Spoken presentation at the 14th International Conference on Music Perception and Cognition, San Francisco, USA.

Blair Kaneshiro, Tom Collins, Anthony M. Norcia, and Jonathan Berger (2016). Using Representational Similarity Analysis to Study Perception of Tonal Categories. Poster presentation at CogMIR: Cognitively Based Music Informatics Research, New York, USA.

Blair Kaneshiro, Jacek P. Dmochowski, Duc T. Nguyen, Anthony M. Norcia, and Jonathan Berger (2016). Inter-Subject Correlations of Ongoing EEG Reflect Temporal Organization of Naturalistic Music Stimuli. Poster presentation at the Association for Psychological Science 28th Annual Convention, Chicago, USA.

Blair Kaneshiro, Jacek P. Dmochowski, Duc T. Nguyen, Anthony M. Norcia, and Jonathan Berger (2016). Using Synchrony of Cortical, Physiological, and Behavioral Responses to Index Listener Engagement with Naturalistic Music. Poster presentation at the Third Annual Symposium of the Stanford Neurosciences Institute, Stanford, USA.

Steven Losorelli, Blair Kaneshiro, and Jonathan Berger (2016). Representation of Musical Beat in Scalp-Recorded EEG Responses: A Comparison of Spatial Filtering Techniques. Poster presentation at the 14th International Conference on Music Perception and Cognition, San Francisco, USA.

Blair Kaneshiro and Jonathan Berger (2015). A Narrative Framework for Musical Engagement. Poster presentation at the biennial meeting of the Society for Music Perception and Cognition, Nashville, USA.

Blair Kaneshiro, Lewis Kaneshiro, Casey W. Baker, and Jonathan Berger (2015). Large-Scale Music Discovery Behavior: Effects of Genre and Geography. Poster presentation at the biennial meeting of the Society for Music Perception and Cognition, Nashville, USA.

Blair Kaneshiro, Marcos Perreau Guimaraes, Hyung-Suk Kim, Anthony M. Norcia, and Patrick Suppes (2015). A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification. Poster presentation at the Second Annual Symposium of the Stanford Neurosciences Institute, Stanford, USA. [pdf]

Jacek P. Dmochowski, Blair Kaneshiro, Anthony M. Norcia, and Jonathan Berger (2014). Deriving the Neural Signatures of Musical Features Using Canonical Correlation Analysis. Spoken presentation at CogMIR: Cognitively Based Music Informatics Research, Toronto, Canada.

Jorge Herrera, Hyung-Suk Kim, and Blair Kaneshiro (2014). MIREX 2014: Query by Tapping. Poster presentation in MIREX session at the 15th International Society for Music Information Retrieval Conference, Taipei, Taiwan. [web]

Blair Kaneshiro, Marcos Perreau Guimaraes, Patrick Suppes, and Anthony M. Norcia (2014). Visual Object Categories and Exemplars Can Be Decoded from Single-Trial EEG. Poster presentation at the Association for Psychological Science 26th Annual Convention, San Francisco, USA.

Blair Kaneshiro, Luke Dahl, Megha Makam, Marcos Perreau Guimaraes, Jonathan Berger, and Patrick Suppes (2012). Musical Meter Induction and Preservation Can Be Classified in Single EEG Trials. Poster presentation at the Association for Psychological Science 24th Annual Convention, Chicago, USA.

Blair Bohannan, Hiroko Terasawa, Steinunn Arnardóttir, Marcos Perreau Guimaraes, and Patrick Suppes (2010). Perceptual and Neural Representation of the Temporal Attribute of Timbre. Spoken presentation at the 11th International Conference on Music Perception and Cognition, Seattle, USA.

Blair Bohannan, Marcos Perreau Guimaraes, Jonathan Abel, Claudio Carvalhaes, Logan Grosenick, and Patrick Suppes (2009). Basic Elements of Music Can Be Classified in the EEG. Poster presentation at the Association for Psychological Science 21st Annual Convention, San Francisco, USA.

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Workshops, Tutorials, & Symposia

Blair Kaneshiro and Douglas Eck (2016). Leveraging Large-Scale Industrial Data to Study Musical Engagement. Symposium at the 14th International Conference on Music Perception and Cognition, San Francisco, USA.

Karanvir Singh and Blair Kaneshiro (2016). An Interactive Introduction to Bhangra. Workshop at the 14th International Conference on Music Perception and Cognition, San Francisco, USA.

Sebastian Stober and Blair Kaneshiro (2016). Introduction to EEG Decoding for Music Information Retrieval Research. Tutorial at the 17th International Society for Music Information Retrieval Conference, New York, USA. [web]

Megha Makam, Blair Kaneshiro, and Jonathan Berger (2014). An Interactive Introduction to the Music and Movements of Brazilian Capoeira. Workshop at the 13th International Conference on Music Perception and Cognition and the 5th Triennial Conference of the Asia-Pacific Society for the Cognitive Sciences of Music, Seoul, Korea.

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Invited Talks

Analyzing Cortical Responses to Naturalistic Music (2017). Invited talk, CS286: Computational Creativity, San Jose State University, San Jose, USA.

Neuroscientific Approaches to Music Information Retrieval (2016). Invited talk, CCRMA Music Information Retrieval Workshop, Stanford, USA.

A Cortical Synchrony Approach to the Study of Musical Engagement (2016). Invited talk, Bay Innovative Signal Hackers Bash (BISH Bash) Meetup, Oakland, USA.

From Brain Data to Big Data: New Approaches for Investigating Musical Engagement (2016). Invited talk, Stanford Music and the Brain Symposium 2016: Resonance, Stanford, USA.

The Naked Truth Part II: Surviving Graduate School (2016). Panel discussion with Nichol Castro, Caroline B. Hornburg, Elizabeth Necka, and Joel G. Sprunger, Association for Psychological Science 28th Annual Convention, Chicago, USA.

Connecting Neuroimaging with Music Information Retrieval (2015). Invited talk, CCRMA Hearing Seminar, Stanford, USA.

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Other

Blair Kaneshiro (2016). Toward an Objective Neurophysiological Measure of Musical Engagement. Doctoral Dissertation, Stanford University. [pdf] [web]

Jorge Herrera, Hyung-Suk Kim, and Blair Kaneshiro (2014). Contour String Matching for Query by Tapping: A MIREX 2014 Submission. Submission to the 10th Music Information Retrieval Evaluation eXchange.

Blair Kaneshiro, Micah Siegel, and Fred Gibbons (2012). EE204: Business Management for Electrical Engineers and Computer Scientists. Course positioning paper. [pdf] [web]

Blair Bohannan, Jorge Herrera, and Lewis Kaneshiro (2010). Across-Subject Classification of Single EEG Trials. Stanford CS229 final project. [pdf]

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