Blair Kaneshiro

CCRMA, Stanford University

Publications

In Progress | Peer-Reviewed | Dissertation | Proceedings | Software/Datasets | Workshops/Tutorials/Symposia | Invited Talks | Invited Panels/Sessions | Talks/Posters | Other

Publications in Progress

Blair Kaneshiro, Duc T. Nguyen, Anthony M. Norcia, Jacek P. Dmochowski, and Jonathan Berger (in revision). Inter-Subject EEG Correlation Reflects Time-Varying Engagement with Natural Music. bioRxiv 2021.04.14.439913. doi:10.1101/2021.04.14.439913 [preprint] [data]

Bernard C. Wang, Nathan C. L. Kong, Feng Ruan, Raymond Gifford, Anthony M. Norcia, and Blair Kaneshiro (in preparation). MatClassRSA: A Matlab Toolbox for M/EEG Classification and Visualization of Proximity Matrices. bioRxiv 194563. doi:10.1101/194563 [preprint] [code]

Fang Wang, Blair Kaneshiro, Elizabeth Y. Toomarian, Radhika S. Gosavi, Lindsey R. Hasak, Suanna Moron, Quynh Trang H. Nguyen, Anthony M. Norcia, and Bruce D. McCandliss (in preparation). Starting to See a Pattern: Longitudinal SSVEP Signals Reveal How Growth in Children’s Cortical Sensitivity to Visual Word Form Structure Is Uniquely Linked to Two-Year Growth in Reading Fluency. bioRxiv 2022.11.08.515712 doi:10.1101/2022.11.08.515712 [preprint]

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Peer-Reviewed Papers

So Yeon Park and Blair Kaneshiro (2022). User Perspectives on Critical Factors for Collaborative Playlists. PLoS ONE 17:1, e0260750. doi:10.1371/journal.pone.0260750 [web]

So Yeon Park, Emily Redmond, Jonathan Berger, and Blair Kaneshiro (2022). Hitting Pause: How User Perceptions of Collaborative Playlists Evolved in the United States During the COVID-19 Pandemic. In ACM CHI Conference on Human Factors in Computing Systems (CHI), Article 365, 16 pages. doi:10.1145/3491102.3517604 [web]

Fang Wang, Quynh Trang H. Nguyen, Blair Kaneshiro, Lindsey Hasak, Angie M. Wang, Elizabeth Y. Toomarian, Anthony M. Norcia, and Bruce D. McCandliss (2022). Lexical and Sublexical Cortical Tuning for Print Revealed by Steady-State Visual Evoked Potentials (SSVEPs) in Early Readers. Developmental Science e13352. doi:10.1111/desc.13352 [web]

Tysen Dauer, Duc T. Nguyen, Nick Gang, Jacek P. Dmochowski, Jonathan Berger, and Blair Kaneshiro (2021). Inter-subject Correlation While Listening to Minimalist Music: A Study of Electrophysiological and Behavioral Responses to Steve Reich's Piano Phase. Frontiers in Neuroscience 15:702067. doi:10.3389/fnins.2021.702067 [web] [data]

So Yeon Park and Blair Kaneshiro (2021). Social Music Curation That Works: Insights from Successful Collaborative Playlists. In Proceedings of the 2021 ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 5, Article 117, 27 pages. doi:10.1145/3449191 [web]

So Yeon Park, Nicole Santero, Blair Kaneshiro, and Jin Ha Lee (2021). Armed in ARMY: A Case Study of How BTS Fans Successfully Collaborated to #MatchAMillion for Black Lives Matter. In Proceedings of the 39th Annual ACM Conference on Human Factors in Computing Systems (CHI), Article 336, 14 pages. doi:10.1145/3411764.3445353 [web]

Fang Wang, Blair Kaneshiro, C. Benjamin Strauber, Lindsey Hasak, Quynh Trang H. Nguyen, Alexandra Yakovleva, Vladimir Y. Vildavski, Anthony M. Norcia, and Bruce D. McCandliss (2021). Distinct Neural Sources Underlying Visual Word Form Processing as Revealed by Steady State Visual Evoked Potentials (SSVEP). Scientific Reports 11, 18229. doi:10.1038/s41598-021-95627-x [web]

Blair Kaneshiro, Duc T. Nguyen, Anthony M. Norcia, Jacek P. Dmochowski, and Jonathan Berger (2020). Natural Music Evokes Correlated EEG Responses Reflecting Temporal Structure and Beat. NeuroImage 214, 116559. doi:10.1016/j.neuroimage.2020.116559 [web] [data] [code]

Nathan C. L. Kong, Blair Kaneshiro, Daniel L. K. Yamins, and Anthony M. Norcia (2020). Time-Resolved Correspondences Between Deep Neural Network Layers and EEG Measurements in Object Processing. Vision Research 172, 27-45. doi:10.1016/j.visres.2020.04.005 [web]

Steven Losorelli, Blair Kaneshiro, Gabriella A. Musacchia, Nikolas H. Blevins, and Matthew B. Fitzgerald (2020). Factors Influencing Classification of Frequency Following Responses to Speech and Music Stimuli. Hearing Research 398, 108101. doi:10.1016/j.heares.2020.108101 [web] [data] [code]

Catherine Manning, Blair Kaneshiro, Peter J. Kohler, Mihaela Duta, Gaia Scerif, and Anthony M. Norcia (2019). Neural Dynamics Underlying Coherent Motion Perception in Children and Adults. Developmental Cognitive Neuroscience 38, 100670. doi:10.1016/j.dcn.2019.100670 [web] [corrigendum] [OSF code]

So Yeon Park, Audrey Laplante, Jin Ha Lee, and Blair Kaneshiro (2019). Tunes Together: Perception and Experience of Collaborative Playlists. In Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands. doi:10.5281/zenodo.3527912 [pdf]

Orchisama Das, Blair Kaneshiro, and Tom Collins (2018). Analyzing and Classifying Guitarists from Rock Guitar Solo Tablature. In Proceedings of the Sound and Music Computing Conference (SMC), Limassol, Cyprus. doi:10.5281/zenodo.1422569 [pdf]

Duc T. Nguyen and Blair Kaneshiro (2018). AudExpCreator: A GUI-Based Matlab Tool for Designing and Creating Auditory Experiments with the Psychophysics Toolbox. SoftwareX 7, 328-334. doi:10.1016/j.softx.2018.09.002 [web] [code]

Nick Gang, Blair Kaneshiro, Jonathan Berger, and Jacek P. Dmochowski (2017). Decoding Neurally Relevant Musical Features Using Canonical Correlation Analysis. In Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China. doi:10.5281/zenodo.1417137 [pdf] [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 (2017). 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 (ISMIR), Suzhou, China. doi:10.5281/zenodo.1417917 [pdf] [data] [code]

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 (ISMIR), New York, USA. doi:10.5281/zenodo.1418047 [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 (ISMIR), Málaga, Spain. doi:10.5281/zenodo.1416082 [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] [data1] [data2]

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 (ISMIR), Curitiba, Brazil. doi:10.5281/zenodo.1415756 [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. doi:10.1037/a0031014 [web]

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Doctoral Dissertation

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

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Published Conference Proceedings

Jay Appaji, Jacek P. Dmochowski, and Blair Kaneshiro (2020). Modelling Perception of Rhythmic Complexity: Computational and Neural Measures. In Extended Abstracts for the Late-Breaking Demo Session of the 21st International Society for Music Information Retrieval Conference (ISMIR), Virtual Conference. [pdf] [web]

Elena Georgieva, Camille Noufi, Vidya Rangasayee, Blair Kaneshiro, and Jonathan Berger (2020). An Evaluation Tool for Subjective Evaluation of Amateur Vocal Performances of "Amazing Grace". In Extended Abstracts for the Late-Breaking Demo Session of the 21st International Society for Music Information Retrieval Conference (ISMIR), Virtual Conference. [pdf] [web]

Blair Kaneshiro, Brandi Frisbie, Elena Georgieva, and Daniel P. W. Ellis (2019). Characterizing Musical Correlates of Large-Scale Discovery Behavior.* Machine Learning for Music Discovery Workshop (ML4MD) at the International Conference on Machine Learning (ICML), Long Beach, USA. *Invited talk [pdf]

Blair Kaneshiro, Duc T. Nguyen, Jacek P. Dmochowski, Anthony M. Norcia, and Jonathan Berger (2019). Naturalistic Music EEG Dataset - Hindi (NMED-H) 2.0: New Release and Cross-Dataset Compatibility. In Extended Abstracts for the Late-Breaking Demo Session of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands. [pdf]

Nathan C. L. Kong, Blair Kaneshiro, and Anthony M. Norcia (2019). Time-Resolved Correspondences Between a Deep Feed-Forward Neural Network and Human Object Processing: EEG Measurements. 2019 Conference on Cognitive Computational Neuroscience (CCN), Berlin, Germany. doi:10.32470/CCN.2019.1082-0 [pdf]

Camille Noufi, Vidya Rangasayee, Sarah Ciresi, Jonathan Berger, and Blair Kaneshiro (2019). A Model-Driven Exploration of Accent Within the Amateur Singing Voice. Machine Learning for Music Discovery Workshop (ML4MD) at the International Conference on Machine Learning (ICML), Long Beach, USA. [pdf]

Jay Appaji and Blair Kaneshiro (2018). Neural Tracking of Simple and Complex Rhythms: Pilot Study and Dataset. In Extended Abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France. [pdf]

Elena Georgieva and Blair Kaneshiro (2018). Impact of Familiarity on Music Preference During Simulated Cochlear-Implant Listening. In Extended Abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France. [pdf]

Blair Kaneshiro and Jacek P. Dmochowski (2018). Evidence of Beat Entrainment in Maximally Reliable Cortical Responses to Natural Music. In Extended Abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France. [pdf]

So Yeon Park and Blair Kaneshiro (2017). 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 (ISMIR), Suzhou, China. [pdf]

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 17th International Society for Music Information Retrieval Conference (ISMIR), 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 (ICMPC), 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 (ICMPC-APSCOM), 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 (ICMPC-APSCOM), 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 (ICMPC-APSCOM), 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 (ICMPC-ESCOM), 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 (ICMPC-ESCOM), Thessaloniki, Greece. [pdf] [github]

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Software & Datasets

Tysen Dauer, Duc T. Nguyen, Nick Gang, Jacek P. Dmochowski, Jonathan Berger, and Blair Kaneshiro (2021). Naturalistic Music EEG Dataset - Minimalism (NMED-M). Stanford Digital Repository. [dataset] [paper]

Blair Kaneshiro, Duc T. Nguyen, Anthony M. Norcia, Jacek P. Dmochowski, and Jonathan Berger (2021). Naturalistic Music EEG Dataset - Elgar (NMED-E). Stanford Digital Repository. [dataset] [preprint]

Steven Losorelli, Blair Kaneshiro, Gabriella A. Musacchia, Karanvir Singh, Nikolas H. Blevins, and Matthew B. Fitzgerald (2019). Stanford Translational Auditory Research - Frequency-Following Response Dataset 1 (STAR-FFR-01). Stanford Digital Repository. [dataset] [paper]

Jay Appaji and Blair Kaneshiro (2018). Naturalistic Music EEG Dataset - Rhythm Pilot (NMED-RP). Stanford Digital Repository. [dataset]

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

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

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

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. [dataset] [paper]

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

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

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

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. [dataset] [paper]

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Workshops, Tutorials, & Symposia

Blair Kaneshiro and Jordan B. L. Smith (2021). International Society for Music Information Retrieval (ISMIR) Diversity Summit. Virtual Workshop.

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 (ICMPC), 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 (ICMPC), 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 (ISMIR), 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 (ICMPC-APSCOM), Seoul, Korea.

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Invited Talks

Facilitating Interdisciplinary Music Research Through Open Data (2022). Invited talk, Datasounds, Datasets, and Datasense Research Network, Virtual Talk.

Toward Ecologically Valid Music Neuroscience (2022). Invited talk, Music, Mind, Movement, and Technology Workshop, Bengaluru, India and Virtual Talk.

Decoding the Music-Listening Brain using Electroencephalography (2020). Invited talk, University of Alaska Anchorage College of Engineering Professional Development Seminar, Virtual Talk.

Auditory Neuroscience (2019). Invited talk, SfN Wonder 2019: Exploring the Human Mind, Bay Area Society for Neuroscience Youth Chapter, Palo Alto, USA.

Neural Correlation During Natural Music Listening (2019). Invited talk, Stanford University Department of Psychology FriSem, Stanford, USA.

Music Discovery (2018). Invited talk, Leonardo Art Science Evening Rendezvous (LASER), Stanford, USA.

Reliability of Audience Responses as a Measure of Engagement (2018). Invited talk, #EmoJam: Hacking Emotion in Interactive Media, San Francisco, USA.

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

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

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Invited Panels & Sessions

Johanna Devaney, Zhiyao Duan, Katherine M. Kinnaird, Doug Turnbull, and Blair Kaneshiro (moderator) (2021). Broadening D&I. Diversity & Inclusion Special Session at the 22nd International Society for Music Information Retrieval Conference (ISMIR), Virtual Event.

Frank Russo, Elaine Chew, Gus Xia, Blair Kaneshiro, and Ye Wang (moderator) (2021). MIR for Human Health and Potential Panel. Special Session at the 22nd International Society for Music Information Retrieval Conference (ISMIR), Virtual Event.

Blair Kaneshiro (2020). Notable Women in Music Information Retrieval (WiMIR). Invited meetup session at the 21st International Society for Music Information Retrieval Conference (ISMIR), Virtual Event.

Junqi Deng, Anssi Klapuri, Matthew McCallum, John Neuharth, Avery Wang, and Blair Kaneshiro (moderator) (2017). Industry Panel. Plenary session at the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China.

Caroline B. Hornburg, Blair Kaneshiro, Elizabeth Necka, Joel G. Sprunger, and Nichol Castro (moderator) (2016). The Naked Truth Part II: Surviving Graduate School. Invited panel, Association for Psychological Science 28th Annual Convention (APS), Chicago, USA.

Blair Kaneshiro, Anja Volk, and Emilia Gomez (2016). Women in MIR. Plenary session at the 17th International Society for Music Information Retrieval Conference (ISMIR), New York, USA. [web]

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Talks & Posters

Lloyd May, So Yeon Park, Aaron Hodges, Blair Kaneshiro, and Jonathan Berger (to appear 2022). Designing for Empathetic Listening Interactions. Poster presentation at the Music & Hearing Health Workshop, Oldenburg, Germany.

Amandine Van Rinsveld, Matthew Guillaume, Blair Kaneshiro, Anthony M. Norcia, and Bruce D. McCandliss (2022). Untangling Real-Time Abstract Number Perception from the Many Concrete Perceptual Dimensions: An SSVEP Study. Poster presentation at the 29th Annual Meeting of the Cognitive Neuroscience Society (CNS), San Francisco, USA.

Lindsey Hasak, Blair Kaneshiro, Quynh Trang H. Nguyen, Fang Wang, Alexandra Yakovleva, Vladimir Y. Vildavski, Anthony M. Norcia, and Bruce D. McCandliss (2021). Capturing Audiovisual Integration Effects With Steady-State EEG. Poster presentation at the ARO 2021 Virtual MidWinter Meeting, Virtual Conference.

Lindsey Hasak, Blair Kaneshiro, Quynh Trang H. Nguyen, Fang Wang, Alexandra Yakovleva, Vladimir Y. Vildavski, Anthony M. Norcia, and Bruce D. McCandliss (2021). Capturing Audiovisual Integration Effects With Steady-State EEG. Poster presentation at the CNS 2021 Virtual Meeting, Virtual Conference.

Lindsey Hasak, Blair Kaneshiro, Quynh Trang H. Nguyen, Fang Wang, Alexandra Yakovleva, Vladimir Y. Vildavski, Anthony M. Norcia, and Bruce D. McCandliss (2021). Steady-State EEG Components Elucidate Unimodal and Multisensory Aspects of Letter-Sound Processing. Poster presentation at the OHBM 2021 Annual Meeting, Virtual Conference.

Fang Wang, Blair Kaneshiro, Lindsey Hasak, C. Benjamin Strauber, Quynh Trang H. Nguyen, Anthony M. Norcia, and Bruce D. McCandliss (2021). Neural Sources of Visual Word Form Processing Revealed by Steady-State Visual Evoked Potentials. Poster presentation at the OHBM 2021 Annual Meeting, Virtual Conference.

Steven Losorelli, Gabriella Musacchia, Vivian Lou, Blair Kaneshiro, Nikolas Blevins, and Matthew Fitzgerald (2020). Relationships Between Perception, the Frequency Following Response and Acoustic Features of Speech and Music Stimuli. Spoken presentation at the ARO 2020 MidWinter Meeting, San Jose, USA.

Fang Wang, Lindsey Hasak, Blair Kaneshiro, Ben Strauber, Vladimir Y. Vildavski, Quynh Trang H. Nguyen, Alexandra Yakovleva, Anthony M. Norcia, and Bruce D. McCandliss (2020). Temporal Dynamics of the Hierarchy of Neural Sources Underlying Visual Word Form Processing as Revealed by Steady State Visual Evoked Potentials (SSVEP). Poster presentation at the Bay Area Vision Research Day (BAVRD), Virtual Conference.

Jay Appaji and Blair Kaneshiro (2019). Preference and Perceived Complexity for Rhythms in Isolation and Embedded in Real-World Music. Poster presentation at the biennial meeting of the Society for Music Perception and Cognition (SMPC), New York, USA.

Steven Losorelli, Blair Kaneshiro, Gabriella Musacchia, Nikolas Blevins, and Matthew Fitzgerald (2019). Assessing Contributions of Magnitude and Phase in Decoding Frequency Following Responses. Poster presentation at the ARO 2019 MidWinter Meeting, Baltimore, USA.

Vivian Lou, Steven Losorelli, Blair Kaneshiro, Gabriella Musacchia, Steven Gianakas, Nikolas Blevins, and Matthew Fitzgerald (2019). Classification of Electrophysiologic Responses to Speech Processed Through an Acoustic Simulation of a Cochlear Implant. Poster presentation at the ARO 2019 MidWinter Meeting, Baltimore, USA.

Tysen Dauer, Blair Kaneshiro, and Jonathan Berger (2018). Responding to Reich: Continuous Behavioral Responses to Steve Reich's 'Piano Phase'. Poster presentation at Stanford Music and the Brain Symposium 2018: Performance, Stanford, USA.

Elena Georgieva and Blair Kaneshiro (2018). Music, Familiarity, and Preference. Poster presentation at Stanford Music and the Brain Symposium 2018: Performance, Stanford, USA.

Elena Georgieva and Blair Kaneshiro (2018). Using Spotify Audio Features to Study the Evolution of Pop Music. Poster presentation at Women in Music Information Retrieval 1st Annual Workshop (WiMIR), Paris, France.

Blair Kaneshiro (2018). Musical Novelty and Engagement. Poster presentation at Women in Music Information Retrieval 1st Annual Workshop (WiMIR), Paris, France.

Blair Kaneshiro and Jacek P. Dmochowski (2018). Inter-Subject Coherence of Evoked EEG Implicates Entrainment to the Beat During Natural Music Listening. Poster presentation at the Association for Psychological Science 30th Annual Convention (APS), San Francisco, USA.

Blair Kaneshiro, Steven Losorelli, Gabriella Musacchia, Nikolas Blevins, and Matthew Fitzgerald (2018). Assessing Temporal Dynamics of Auditory Processing Through Classification of Subcortical and Cortical Responses to Speech and Music Sounds. Spoken presentation at the ARO 2018 MidWinter Meeting, San Diego, USA.

Nathan C. L. Kong, Blair Kaneshiro, Daniel L. K. Yamins, and Anthony M. Norcia (2018). Methods for Comparing Models with EEG Data Using Representational Similarity Analysis. Poster presentation at the Society for Neuroscience 48th Annual Meeting (SfN), San Diego, USA.

So Yeon Park and Blair Kaneshiro (2018). Technology-Mediated Co-Curation of Music Enhances the Illusion, but Not the Experience, of Shared Social Ownership and Collaboration. Poster presentation at the Association for Psychological Science 30th Annual Convention (APS), San Francisco, USA.

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 (SMPC), 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 (SMPC), 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 (SMPC), 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 (SMPC), 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 (SMPC), 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 (SMPC), 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 (SMPC), 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 (ICMPC), 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 (APS), 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 (ICMPC), 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 (SMPC), 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 (SMPC), 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 (ISMIR), 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 (APS), 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 (APS), 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 (ICMPC), 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 (APS), San Francisco, USA.

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Other

Co-author of various blog posts for Women in Music Information Retrieval and the 22nd International Society for Music Information Retrieval Conference (ISMIR2021).

Amanda Krause and Blair Kaneshiro (moderator) (2020). Everyday Experiences of Music: A Fireside Chat with Dr. Amanda Krause. Women in Music Information Retrieval 3rd Annual Workshop (WiMIR), Virtual Event.

Blair Kaneshiro (2016). Promoting Diversity in Music Information Retrieval. Spoken presentation at Libations and Rotations presented by Amazon Music in collaboration with Women in Music Information Retrieval, San Francisco, USA.

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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