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]

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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 (conditionally accepted 2022). Hitting Pause: How User Perceptions of Collaborative Playlists Evolved in the United States During the COVID-19 Pandemic. In the ACM CHI Conference on Human Factors in Computing Systems (CHI).

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 PhaseFrontiers in Neuroscience 15:702067. doi:10.3389/fnins.2021.702067 [web] [data]

Noah Fram, Visda Goudarzi, Hiroko Terasawa, and Jonathan Berger (2021). Collaborating in Isolation: Assessing the Effects of the Covid-19 Pandemic on Patterns of Collaborative Behavior Among Working Musicians. Frontiers in Psychology 12:674246. doi:10.3389/fpsyg.2021.674246 [web]

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 and Sang Won Lee (2021). Lost in Co-Curation: Investigating Discomforts and the Role of Communication in Collaborative Music Playlists. In Proceedings of the 2021 ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 5, Article 63. [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]

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]

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 108101. doi:10.1016/j.heares.2020.108101 [web] [data] [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 *Student Travel Award recipient [pdf]

Zhengshan Shi, Craig Sapp, Kumaran Arul, Jerry McBride, and Julius O. Smith (2019). SUPRA: Digitizing the Stanford University Piano Roll Archive.* In Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands. doi:10.5281/zenodo.3527858 *Best Paper Award [pdf] [data] [blog]

Doga Buse Cavdir, Romain Michon, and Ge Wang (2018). The BodyHarp: Designing the Intersection Between the Instrument and the Body.* In Proceedings of the Sound and Music Computing Conference (SMC), Limassol, Cyprus. doi:10.5281/zenodo.1422667 *Best Student Paper Award [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]

Zhengshan Shi, Tomoyasu Nakano, and Masataka Goto (2018). InstListener: An Expressive Parameter Estimation System Imitating Human Performances of Monophonic Musical Instruments. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada. doi:10.1109/ICASSP.2018.8462141 [pdf]

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]

Zhengshan Shi*, Kumaran Arul, and Julius O. Smith (2017). Modeling and Digitizing Reproducing Piano Rolls. In Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China. doi:10.5281/zenodo.1416634 *Women in MIR Travel Award recipient [pdf]

Alexandros Tsaptsinos* (2017). Lyrics-Based Music Genre Classification Using a Hierarchical Attention Network. In Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China. doi:10.5281/zenodo.1417241 *Student Travel Award recipient [pdf] [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, 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 [pdf]

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Published Conference Proceedings

Jay Appaji, Jacek P. Dmochowski, and Blair Kaneshiro (2020). Modelling 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]

Hyun Jeong Kim, So Yeon Park, Minju Park, and Kyogu Lee (2020). Do Channels Matter? Illuminating Interpersonal Influence on Music Recommendations. In Fourteenth ACM Conference on Recommender Systems (RecSys), 663–668. doi:10.1145/3383313.3418489 [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]

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]

Zhengshan Shi, Carlos Cancino-Chacón, and Gerhard Widmer (2019). User-Curated Shaping of Expressive Performances.* Machine Learning for Music Discovery Workshop (ML4MD) at the International Conference on Machine Learning (ICML), Long Beach, USA. *Invited talk [pdf]

Prateek Verma and Jonathan Berger (2019). Neural Content Based Collaborative Filtering For Recommendation Systems. In Extended Abstracts for the Late-Breaking Demo Session of the 20th International Society for Music Information Retrieval Conference (ISMIR), Delft, The Netherlands. [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. *Women in MIR Travel Award recipient [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]

Doga Buse Cavdir*, Guiseppe Bandiera, Oriol Romani, and Xavier Serra (2017). Vibrato Analysis Dataset and Derivative Trajectory Parameterization. In Extended Abstracts for the Late-Breaking Demo Session of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China. *Women in MIR Travel Award recipient [pdf]

Brandi Frisbie* (2017). Music Instrument Detection Using LSTMs and the NSynth Dataset. In Extended Abstracts for the Late-Breaking Demo Session of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China. *Women in MIR Travel Award recipient [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. *Women in MIR Travel Award recipient [pdf]

Vidya Rangasayee* (2017). Change Your Tune: A Systematic Exploration of Tonic Shift in Carnatic Music. In Extended Abstracts for the Late-Breaking Demo Session of the 18th International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China. *Women in MIR Travel Award recipient [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] *Student Travel Award recipient

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 and 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. [web]

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]

Shazam Entertainment, Ltd. (2016). Shazam Research Dataset - Offsets (SRD-O). 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]

Jeffrey C. Smith (2013). DAMP: Stanford Digital Archive of Mobile Performances. [web]

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Dissertations and Theses

Zhengshan Shi (2021). Computational Analysis and Modeling of Expressive Timing in Music Performance. Doctoral Dissertation, Stanford University. [web]

Tysen Dauer (2020). The Varieties of Minimalist Experience: The Roles of Psychological States in the Reception of American Minimalism During the Long Sixties. Doctoral Dissertation, Stanford University. [web]

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

Kristin Kueter (2016). Cherishing the Error: Schematic Overrides in Child Piano Performance. Master of Liberal Arts Thesis, Stanford University.

Jeffrey C. Smith (2013). Correlation Analyses of Encoded Music Performance. Doctoral Dissertation, Stanford University. [pdf] [web]

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Workshops, Tutorials, and 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 presentation at the 17th International Society for Music Information Retrieval Conference (ISMIR), New York, USA. [web]

Jeffrey C. Smith (2015). Using Correlation Analysis and Big Data to Identify and Predict Musical Behaviors. Tutorial presentation at the 16th International Society for Music Information Retrieval Conference (ISMIR), Málaga, Spain. [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. *Student Travel Award recipient

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Talks and Posters

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

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.

Noah Fram (2019). Assessments of Statistical Measures of Syncopation: Two Approaches. Spoken presentation at the biennial meeting of the Society for Music Perception and Cognition (SMPC), New York, USA.

Elena Georgieva (2019). Toward Music Recommendation Systems for Listeners with Hearing Loss. Invited talk, Bay Innovative Signal Hackers Bash (BISH Bash) Meetup, Oakland, USA.

Elena Georgieva (2019). Women in Music Information Retrieval. Spoken presentation, Bay Innovative Signal Hackers Bash (BISH Bash) Meetup, San Francisco, USA.

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

Blair Kaneshiro (2019). Neural Correlation During Natural Music Listening. Invited talk, Stanford University Department of Psychology FriSem, Stanford, 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, Paris, France.

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

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

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

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.

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. *Student Travel Award recipient

Jacek P. Dmochowski (2017). Engagement Is in the Brain. Invited talk, Stanford Music and the Brain Symposium 2017: Engagement, Stanford, USA.

Brandi Frisbie (2017). Music Instrument Detection Using LSTMs and the NSynth Dataset. Poster presentation at the 12th Women in Machine Learning Workshop (WiML), Long Beach, 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. *Student Travel Award recipient

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

Karanvir Singh and Srishti Birla (2017). The Taal Autism Dance Program: A Customized Dance Therapy Program for Autistic Children. Spoken presentation at the biennial meeting of the Society for Music Perception and Cognition (SMPC), San Diego, USA.

Karanvir Singh and Srishti Birla (2017). The Taal Autism Dance Program: A Dance Therapy Program for Autistic Children. 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 (2016). Neuroscientific Approaches to Music Information Retrieval. Invited talk, CCRMA Music Information Retrieval Workshop, Stanford, USA.

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

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

Kristin Kueter (2016). Great Expectations in Music: Learning to Cherish the Error. Spoken presentation at the 2016 Graduate Liberal Studies Program, West Coast Symposium, Vancouver, Canada.

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.

Jeffrey C. Smith (2016). Measuring Musical Inhibition: A Demographic Analysis of Sharing Performances on Social Media. Spoken presentation at the 14th International Conference on Music Perception and Cognition (ICMPC), San Francisco, USA.

Tysen Dauer (2015). Music We Love to Hate: Psychology in the Reception of Early Minimalism. Lecture-Recital at Eureka! Musical Minds of California Graduate Conference, Santa Cruz, USA.

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

Kristin Kueter and Jonathan Berger (2015). Expert Performances: Reflections of Schema-Based Ambiguities in Musical Scores. Spoken presentation at the biennial meeting of the Society for Music Perception and Cognition (SMPC), Nashville, USA.

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.

Kristin Kueter and Jonathan Berger (2013). Because It Sounds Right: Schema-Driven Miscues in Children’s Piano Performance. Poster presentation at the Inaugural Symposium on Music and Language: Development, Montreal, Canada.

Kristin Kueter and Jonathan Berger (2013). Because It Sounds Right: Schema-Driven Miscues in Children’s Piano Performance. Spoken presentation at the biennial meeting of the Society for Music Perception and Cognition (SMPC), Toronto, Canada.

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.