Google Colab Notebook:

https://colab.research.google.com/drive/1O29mLQj-AJBbk4fLnoU-2PXTZ1TZQhFI?usp=sharing

 

General Resources

Huron, D. (2008). Sweet Anticipation: Music and the Psychology of Expectation. MIT Press. https://mitpress.mit.edu/9780262582780/sweet-anticipation/

International Society for Music Information Retrieval (ISMIR): https://ismir.net/

Roman, I. (2023, October 9). musicinformationretrieval.com. Musicinformationretrieval.Com. http://musicinformationretrieval.com/

Sacks, O. (2007). Musicophilia: Tales of Music and the Brain. Knopf. https://www.oliversacks.com/oliver-sacks-books/musicophilia-oliver-sacks/ 

National Institutes of Health. (2023). The NIH Music-Based Intervention Toolkit. NCCIH. https://www.nccih.nih.gov/research/the-nih-music-based-intervention-toolkit 

AI (and Spotify) in the News

Alford, A. (2023, March 9). Spotify CEO explains issue of artists’ pay, says it’s “hard to change the narrative.” CBS News. https://www.cbsnews.com/news/spotify-ceo-daniel-ek-artists-pay-hard-to-change-the-narrative/

Herstand, A. (2023, December 11). Why Spotify’s New Payment Model Falls Short For Emerging Artists: Guest Column. Variety. https://variety.com/2023/music/opinion/spotify-new-payment-model-falls-short-emerging-artists-1235834319/

Krukowski, D. (2023, November 30). Spotify made £56m profit, but has decided not to pay smaller artists like me. We need you to make some noise. The Guardian. https://www.theguardian.com/commentisfree/2023/nov/30/spotify-smaller-artists-wrapped-indie-musicians

Olson, E. (2023, December 4). Spotify to cut 17% of staff in the latest round of tech layoffs. NPR. https://www.npr.org/2023/12/04/1216950219/spotify-layoffs-17-percent-tech

Vincent, J. (2023, March 27). The swagged-out pope is an AI fake — and an early glimpse of a new reality. The Verge. https://www.theverge.com/2023/3/27/23657927/ai-pope-image-fake-midjourney-computer-generated-aesthetic

Coding Resources

Alghofaili, Y. (2021, July 20). Interpretable K-Means: Clusters Feature Importances. Towards Data Science. https://towardsdatascience.com/interpretable-k-means-clusters-feature-importances-7e516eeb8d3c

Flateman, J. (2021, November 1). Spotipy Basics — using the Spotify Web API. Medium. https://medium.com/@jonahflateman/spotipy-basics-using-the-spotify-web-api-ac9606599bf2

Lamere, P. (2020). Spotipy: A lightweight Python library for the Spotify Web API. https://github.com/plamere/spotipy

Lamere, P. (2023). Welcome to Spotipy! — spotipy 2.0 documentation. Spotipy 2.0 Documentation. https://spotipy.readthedocs.io/en/latest/

Li, A. (2021, May 21). Machine learning and recommender systems using your own Spotify data. Towards Data Science. https://towardsdatascience.com/machine-learning-and-recommender-systems-using-your-own-spotify-data-4918d80632e3

Roman, I. (2023, October 9). musicinformationretrieval.com. Musicinformationretrieval.Com. http://musicinformationretrieval.com/

Spotify. (2023). Web API | Spotify for Developers. Spotify. https://developer.spotify.com/documentation/web-api

Vlerick, A. (2021, October 4). K-means clustering using Spotify song features. Medium. https://towardsdatascience.com/k-means-clustering-using-spotify-song-features-9eb7d53d105c

NMT Resources

Edwards, E., St Hillaire-Clarke, C., Frankowski, D. W., Finkelstein, R., Cheever, T., Chen, W. G., Onken, L., Poremba, A., Riddle, R., Schloesser, D., Burgdorf, C. E., Wells, N., Fleming, R., & Collins, F. S. (2023). NIH Music-Based Intervention Toolkit: Music-Based Interventions for Brain Disorders of Aging. Neurology, 100(18), 868–878. https://doi.org/10.1212/WNL.0000000000206797

Ferreri, L., Mas-Herrero, E., Zatorre, R. J., Ripollés, P., Gomez-Andres, A., Alicart, H., Olivé, G., Marco-Pallarés, J., Antonijoan, R. M., Valle, M., Riba, J., & Rodriguez-Fornells, A. (2019). Dopamine modulates the reward experiences elicited by music. Proceedings of the National Academy of Sciences of the United States of America, 116(9), 3793–3798. https://doi.org/10.1073/pnas.1811878116

Ghilain, M., Hobeika, L., Schiaratura, L., Lesaffre, M., Six, J., Desmet, F., Clément, S., & Samson, S. (2021). Sensorimotor synchronisation and non-verbal behaviours in Alzheimer’s disease: the influence of social and musical contexts. Geriatrie Et Psychologie Neuropsychiatrie Du Vieillissement. https://doi.org/10.1684/pnv.2020.0903

Ghilain, M., Hobeika, L., Lesaffre, M., Schiaratura, L., Singh, A., Six, J., Huvent-Grelle, D., Puisieux, F., & Samson, S. (2020). Does a Live Performance Impact Synchronization to Musical Rhythm in Cognitively Impaired Elderly? Journal of Alzheimer’s Disease: JAD, 78(3), 939–949. https://doi.org/10.3233/JAD-200521

Grahn, J. A., & Rowe, J. B. (2009). Feeling the Beat: Premotor and Striatal Interactions in Musicians and Nonmusicians during Beat Perception. Journal of Neuroscience, 29(23), 7540–7548. https://doi.org/10.1523/JNEUROSCI.2018-08.2009

Güney, G., Jansen, T. S., Dill, S., Schulz, J. B., Dafotakis, M., Hoog Antink, C., & Braczynski, A. K. (2022). Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe. Sensors, 22(20), 7992. https://doi.org/10.3390/s22207992

Kirkham, E. (n.d.). How does the brain process rhythm? ELife, 3, e02658. https://doi.org/10.7554/eLife.02658

Li, K., Cui, C., Zhang, H., Jia, L., Li, R., & Hu, H.-Y. (2022). Exploration of combined physical activity and music for patients with Alzheimer’s disease: A systematic review. Frontiers in Aging Neuroscience, 14, 962475. https://doi.org/10.3389/fnagi.2022.962475

Marques, A., Marconcin, P., Werneck, A. O., Ferrari, G., Gouveia, É. R., Kliegel, M., Peralta, M., & Ihle, A. (2021). Bidirectional Association between Physical Activity and Dopamine Across Adulthood—A Systematic Review. Brain Sciences, 11(7), 829. https://doi.org/10.3390/brainsci11070829

McCrary, J. M., Altenmüller, E., Kretschmer, C., & Scholz, D. S. (2022). Association of Music Interventions With Health-Related Quality of Life. JAMA Network Open, 5(3), e223236. https://doi.org/10.1001/jamanetworkopen.2022.3236

Nobili, A., Latagliata, E. C., Viscomi, M. T., Cavallucci, V., Cutuli, D., Giacovazzo, G., Krashia, P., Rizzo, F. R., Marino, R., Federici, M., De Bartolo, P., Aversa, D., Dell’Acqua, M. C., Cordella, A., Sancandi, M., Keller, F., Petrosini, L., Puglisi-Allegra, S., Mercuri, N. B., … D’Amelio, M. (2017). Dopamine neuronal loss contributes to memory and reward dysfunction in a model of Alzheimer’s disease. Nature Communications, 8(1), 14727. https://doi.org/10.1038/ncomms14727

Shankar, N. (2022). Music Therapy: A Necessary Addition to the Treatment of Neurodegenerative Disorders? Georgetown Medical Review, 6(1). https://doi.org/10.52504/001c.34720

The Rhythm Project. (2017, June 20). Stephen McAdams – Timbre as a Rhythmic Structuring Force in Music. https://www.youtube.com/watch?v=MWUMcXQSpe8

Wilkins, R. W., Hodges, D. A., Laurienti, P. J., Steen, M., & Burdette, J. H. (2014). Network Science and the Effects of Music Preference on Functional Brain Connectivity: From Beethoven to Eminem. Scientific Reports, 4(1), 6130. https://doi.org/10.1038/srep06130

Wittwer, J. E., Winbolt, M., & Morris, M. E. (2019). Home-Based Gait Training Using Rhythmic Auditory Cues in Alzheimer’s Disease: Feasibility and Outcomes. Frontiers in Medicine, 6, 335. https://doi.org/10.3389/fmed.2019.00335

What Happens to the Brain in Alzheimer’s Disease? (n.d.). National Institute on Aging. Retrieved January 18, 2024, from https://www.nia.nih.gov/health/alzheimers-causes-and-risk-factors/what-happens-brain-alzheimers-disease

Fun

turbosoy. (2020, May 20). Monty Python Spanish Inquisition Part 1. https://www.youtube.com/watch?v=Cj8n4MfhjUc