Petri Toiviainen / Publications

 

 

 

Journal Articles

 

 

2019

Burger, B. & Toiviainen, P. (in press). Embodiment in Electronic Dance Music: effects of musical content and structure on body movement. Musicae Scientiae.

Carlson, E., Burger, B., & Toiviainen, P. (in press). Empathy, entrainment and perceived interaction in complex dyadic dance movement. Music Perception.

 

2018

Carlson, E., Burger, B., & Toiviainen, P. (2018). Dance like someone is watching: A social relations model study of music-induced movement. Music & Science. doi: 10.1177/2059204318807846

Burunat, I., Brattico, E., Hartmann, M., Vuust, P., Särkämö, T., & Toiviainen, P. (2018). Musical training predicts cerebello-hippocampal coupling during music listening. Psychomusicology: Music, Mind, and Brain, 28(3), 152-163.

Burger, B., London, J., Thompson, M., & Toiviainen, P. (2018). Synchronization to metrical levels in music depends on low-frequency spectral components and tempo. Psychological Research, 82 (6), 1195-1211. doi:10.1007/s00426-017-0894-2

Poikonen, H., Toiviainen, P., & Tervaniemi, M. (2018). Naturalistic music and dance: Cortical phase synchrony in musicians and dancers. Plos ONE, 3(4): e0196065. doi: 10.1371/ journal.pone.0196065

Tsatsishvili, V., Burunat, I., Cong, F., Toiviainen, P., Alluri, V., & Ristaniemi, T. (2018). On application of kernel PCA for generating stimulus features for fMRI during continuous music listening. Journal of Neuroscience Methods, 303, 1–6. doi: 10.1016/j.jneumeth.2018.03.014

Poikonen, H., Toiviainen, P. , & Tervaniemi, M. (2018). Dance on cortex: Enhanced theta synchrony in experts when watching a dance piece. European Journal of Neuroscience, 1–13. doi:10.1111/ejn.13838 

Hoefle, S., Engel, A., Basilio, R., Alluri, V., Toiviainen, P., Cagy, M., & Moll, J. (2018). Identifying musical pieces from fMRI data using encoding and decoding models. Scientific Reports, Article number: 2266. doi:10.1038/s41598-018-20732-3

Saari, P., Burunat, I., Brattico, E., & Toiviainen, P. (2018). Decoding musical training from dynamic processing of musical features in the brain. Scientific Reports, Article number: 708. doi:10.1038/s41598-018-19177-5

Kliuchko, M., Puoliväli, T., Heinonen-Guzejev, M., Tervaniemi, M., Toiviainen. P., Sams, M., & Brattico, E. (2018). Neuroanatomical substrate of noise sensitivity. NeuroImage, 167, 309–315. doi:10.1016/j.neuroimage.2017.11.041 

 

2017

Carlson, E., Saari, P., Burger, B., & Toiviainen, P. (2017). Personality and musical preference using social-tagging in excerpt-selection. Psychomusicology: Music, Mind and Brain, 27(3), 203Ð212. http://doi.org/dx.doi.org/10.1037/pmu0000183 

Burger, B., London, J., Thompson, M. R., & Toiviainen, P. (2017). Synchronization to metrical levels in music depends on low-frequency spectral components and tempo. Psychological Research. http://doi.org/10.1007/s00426-017-0894-2 

Burunat, I., Tsatsishvili, V., Brattico, E., & Toiviainen, P. (2017) Coupling of action-perception brain networks during musical pulse processing: evidence from region-of-interest-based independent component analysis. Frontiers in Human Neuroscience, 11:230. doi:10.3389/fnhum.2017.00230 

Alluri, V., Toiviainen, P., Burunat, I., Kliuchko, M., Vuust, P., & Brattico, E. (2017). Connectivity patterns during music listening: evidence for action-based processing in musicians. Human Brain Mapping, 38(6), 2955Ð2970. doi:10.1002/hbm.23565. 

Hartmann, M., Lartillot, O., & Toiviainen, P. (2017). Interaction Features for Prediction of Perceptual Segmentation: Effects of Musicianship and Experimental Task. Journal of New Music Research. doi: 10.1080/09298215.2016.1230137 

 

2016

Hartmann, M., Lartillot, O., & Toiviainen, P. (2016). Multi-scale modelling of segmentation: effect of musical training and experimental task. Music Perception, 34(2), 192Ð217. doi: 10.1525/MP.2016.34.2.192 

Poikonen, H., Toiviainen, P., & Tervaniemi, M. (2016). Early auditory processing in musicians and dancers during a contemporary dance piece. Scientific Reports, 6, Article number: 33056. doi:10.1038/srep33056 

Carlson, E., Burger, B., London, J., Thompson, M., & Toiviainen, P. (2016). Conscientiousness and Extraversion relate to responsiveness to tempo in dance. Human Movement Science, 49, 315-325. 

Burunat, I., Toiviainen, P., Alluri, V., Bogert, B., Ristaniemi, T., Sams, M., & Brattico, E. (2016). The reliability of continuous brain responses during naturalistic listening to music. NeuroImage, 124, 224-231. doi:10.1016/j.neuroimage.2015.09.005 

London, J., Thompson, M., Burger, B., & Toiviainen, P. (2016). Speed on the dance floor: auditory and visual cues for musical tempo. Acta Psychologica, 164, 70-80. 

 

2015

Alluri, V., Toiviainen, P., Burunat, I., Kliucho, M., Numminen, J., & Brattico, E. (2015). Musical expertise modulates functional connectivity of limbic regions during continuous music listening. Psychomusicology: Music, Mind, and Brain, 25(4), 443-454. 

Burunat, I., Brattico, E., Puoliväli, T., Ristaniemi, T., Sams, M., & Toiviainen, P. (2015). Action in perception: Prominent visuo-motor functional symmetry in musicians during music listening. PLOS ONE, 10(9), e0138238. DOI:10.1371/journal.pone.0138238. 

Carlson, E., Saarikallio, S., Toiviainen, P., Bogert, B., Kliuchko, M., & Brattico, E. (2015). Maladaptive and adaptive emotion regulation through music: a behavioral and neuroimaging study of males and females. Frontiers in Human Neuroscience, 9, 466. DOI: 10.3389/fnhum.2015.00466 

Phillips-Silver, J., Toiviainen, P., Gosselin, N., Turgeon, C., Lepore, F. & Peretz, I. (2015). Cochlear implant users move in time to the beat of drum music. Hearing Research, 321, 25Ð34. DOI: 10.1016/j.heares.2014.12.007 

 

2014

Burger, B., Thompson, M. R., Luck, G., Saarikallio, S. H., & Toiviainen, P. (2014). Hunting for the beat in the body: on period and phase locking in music-induced movement. Frontiers in Human Neuroscience, 8:903. DOI: 10.3389/fnhum.2014.00903 

Luck, G., Saarikallio, S., Burger, B., Thompson, M., & Toiviainen, P. (2014). Emotion-driven encoding of music preference and personality in dance. Musicae Scientiae, 18(3), 307-323. 

Burunat, I., Alluri, V., Toiviainen, P., Numminen, J., & Brattico, E. (2014). Dynamics of brain activity underlying working memory for music in a naturalistic condition. Cortex. DOI:10.1016/j.cortex.2014.04.012 

Brabant, O. & Toiviainen, P. (2014). Diurnal changes in the perception of emotions in music: Does the time of day matter? Musicae Scientiae, 18(3), 256-274. DOI: 10.1177/1029864914532281 

Van Zijl, A. G. W., Toiviainen, P., Lartillot, O., & Luck, G. (2014). The sound of emotion: The effect of performers' experienced emotions on auditory performance characteristics. Music Perception, 32(1), 33-50. 

Cong, F., Puoliväli, T., Alluri, V., Sipola, T., Burunat, I., Toiviainen, P., Nandi, A. K., Brattico, E., & Ristaniemi, T. (2014). Key issues in decomposing fMRI during naturalistic and continuous music experience with Independent Component Analysis. Journal of Neuroscience Methods, 223, 74Ð84. DOI: 10.1016/j.jneumeth.2013.11.025 

Toiviainen, P., Alluri, V., Brattico, E., Wallentin, M., & Vuust, P. (2014). Capturing the musical brain with Lasso: dynamic decoding of musical features from fMRI data. NeuroImage. DOI: 10.1016/j.neuroimage.2013.11.017 

 

2013

Stacho, L., Saarikallio, S., Van Zijl, A., Huotilainen, M., Toiviainen, P. (2013). Perception of emotional content in musical performances by 3Ð7-year- old children. Musicae Scientiae, 17(4), 495Ð512. DOI: 10.1177/1029864913497617 

 

Phillips-Silver, J., Toiviainen, P., Gosselin, N., & Peretz, I. (2013). Amusic does not mean unmusical: Beat perception and synchronization ability despite pitch deafness. Cognitive Neuropsychology, 30(5), 1-21. 

Saarikallio, S., Luck, G., Burger, B., Thompson, M., & Toiviainen, P. (2013). Dance moves reflect current affective state illustrative of approach-avoidance motivation. Psychology of Aesthetics, Creativity, and the Arts, 7(3), 296-305. DOI: 10.1037/a0032589 

Cong, F., Alluri, V., Nandi, A. K., Toiviainen, P., Fa, R., Abu-Jamous, B., Gong, L., Craenen, B. G. W., Poikonen, H., Huotilainen, M., & Ristaniemi, T. (2013). Linking brain responses to naturalistic and continuous music through analysis of ongoing EEG and stimulus features. IEEE Transactions on Multimedia, 15(5): 1060-1069. DOI: 10.1109/TMM.2013.2253452. 

Alluri, V., Toiviainen, P., Lund, T., Wallentin, M., Vuust, P., Nandi, A. K., Ristaniemi, T., & Brattico, E. (2013). From Vivaldi to Beatles and back: predicting brain responses to music. NeuroImage, 83, 627-636. DOI: 10.1016/j.neuroimage.2013.06.064 

Burger, B., Thompson, M. R., Luck, G., Saarikallio, S., & Toiviainen, P. (2013). Influences of rhythm- and timbre-related musical features on characteristics of music-induced movement. Frontiers in Psychology, 4:183. DOI: 10.3389/fpsyg.2013.00183. 

Burger, B., Saarikallio, S., Luck, G. P. B., Thompson, M. R., & Toiviainen, P. (2013). Relationships Between Perceived Emotions in Music and Music-induced Movement. Music Perception, 30(5), 517-533. 

 

2012

Schaefer, R.S., Furuya, S., Smith, L. M., Bohannan Kaneshiro, B. & Toiviainen, P. (2012). Probing neural mechanisms of music perception, cognition and performance using multivariate decoding. Psychomusicology: Music, Mind and Brain, 22(2), 168-174. 

Alluri, V. & Toiviainen, P. (2012). Effect of Enculturation on the Semantic and Acoustic Correlates of Polyphonic Timbre. Music Perception, 29(3), 297-310. 

 

Alluri, V., Toiviainen, P., Jääskeläinen, I. P., Glerean, E., Sams, M., & Brattico, E. (2012). Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. NeuroImage, 59, 367-3689. DOI: 10.1016/j.neuroimage.2011.11.019 

 

 

–2011

Phillips-Silver, J., Toiviainen, P., Gosselin, N., Piche, O., Nozaradan, S., Palmer, C., & Peretz, I. (2011). Born to dance but beat deaf: A new form of congenital amusia. Neuropsychologia. DOI:10.1016/j.neuropsychologia.2011.02.002 

 

Luck, G., Saarikallio, S., Burger, B., Thompson, M. R., & Toiviainen, P. (2010). Effects of the Big Five and musical genre on music-induced movement. Journal of Research in Personality. DOI: 10.1016/j.jrp.2010.10.001 

 

Toiviainen, P., Luck, G. & Thompson, M. (2010). Embodied meter: hierarchical eigenmodes in music-induced movement. Music Perception, 28(1), 59-70. 

 

Luck, G., Toiviainen, P., & Thompson, M. (2010). Perception of expression in conductors' gestures: a continuous response study. Music Perception, 28(1), 47-57. 

 

Alluri, V. & Toiviainen, P. (2010). Exploring perceptual and acoustic correlates of polyphonic timbre. Music Perception, 27(3), 223-241. 

 

Luck, G. & Toiviainen, P. (2008). Exploring relationships between the kinematics of a singer's body movement and the quality of their voice. Journal of Interdisciplinary Music Studies, , 2(1 & 2), 173-186. 

 

Luck, G. P. B, Toiviainen, P., Erkkilä, J., Lartillot, O. & Riikkilä, K., Mäkelä, A., Pyhäluoto, K., Raine, H., Varkila, L., & Värri, J. (2008). Modelling the relationships between emotional responses to, and musical content of, music therapy improvisations. Psychology of Music, 36(1), 25-45. 

 

Lartillot, O. & Toiviainen, P. (2007). Motivic matching strategies for automated pattern extraction. Musicae Scientiae, Discussion Forum 4A, 281-314. 

 

Luck, G. P. B. & Toiviainen, P. (2006). Ensemble musicians' synchronization with conductors' gestures: an automated feature-extraction analysis. Music Perception, 24(2), 195-206. 

 

Luck, G. P. B., Riikkilä, K., Lartillot, O., Erkkilä, J., Toiviainen, P., Mäkelä, A., Pyhäluoto, K., Raine, H., Varkila, L., & Värri, J. (2006). Exploring relationships between level of mental retardation and features of music therapy improvisations: A computational approach. Nordic Journal of Music Therapy, 15(1), 30-48. 

 

Eerola, T., Himberg, T., Louhivuori, J., & Toiviainen, P. (2006). Perceived complexity of western and African folk melodies by western and African listeners. Psychology of Music, 34(3), 341-375. 

 

Toiviainen, P. & Eerola, T. (2006). Autocorrelation in meter induction: The role of accent structure. Journal of the Acoustical Society of America, 119(2), 1164-1170. 

 

Toiviainen, P. (2005). Visualization of tonal content with self-organizing maps and self-similarity matrices. ACM Computers in Entertainment, 3(4), Article 3C. 

 

Holm, J.-M. & Toiviainen, P. (2004). A method for modeling finite width excitation in physical modeling sound synthesis of bowed strings. Journal of New Music Research, 33(4), 345-354. 

 

Toiviainen, P. & Snyder, J. S. (2003). Tapping to Bach: Resonance-based modeling of pulse. Music Perception, 21(1), 43-80. 

 

Toiviainen, P. & Krumhansl, C. L. (2003). Measuring and modeling real-time responses to music: the dynamics of tonality induction. Perception, 32(6), 741-766. Video clip 

 

Toiviainen, P. (2001). Real-time recognition of improvisations with adaptive oscillators and a recursive Bayesian classifier. Journal of New Music Research, 30(2), 137-148. 

 

 

Eerola, T., Järvinen, T., Louhivuori, J., & Toiviainen, P. (2001). Statistical features and perceived similarity of folk melodies. Music Perception, 18(3), 275-296. 

 

Järvinen, T. & Toiviainen, P. (2000). The effect of meter on the use of tones in jazz improvisation. Musicae Scientiae, IV/1,55-74. 

 

Krumhansl, C.L., Toivanen, P., Eerola, T., Toiviainen, P., Järvinen, T., & Louhivuori, J. (2000). Cross-cultural music cognition: Cognitive methodology applied to North Sami yoiks. Cognition,75, 1-46. 

 

Krumhansl, C. L., Louhivuori, J., Toiviainen, P., Järvinen, T., & Eerola, T. (1999). Melodic expectation in Finnish folk hymns: Convergence of statistical, behavioral, and computational approaches. Music Perception, 17(2), 151-196. 

 

Toiviainen, P., Tervaniemi, M., Louhivuori, J., Saher, M., Huotilainen, M., & Näätänen, R. (1998). Timbre similarity: convergence of neural, behavioral, and computational approaches. Music Perception, 16(2), 223-241. 

 

Toiviainen, P. (1998). An interactive MIDI accompanist. Computer Music Journal, 22(4), 63-75. 

 

Toiviainen, P. (1996). Optimizing auditory images and distance metrics for self-organizing timbre maps. Journal of New Music Research, 25(1), 1-30. 

 

Louhivuori, J., Kaipainen, M., & Toiviainen, P. (1996). A self-organizing map that recognizes and generates rune-song melodies. Systematische Musikwissenschaft, IV/1-2, 149-164. 

Toiviainen, P., Kaipainen, M. & Louhivuori, J. (1995). Musical timbre: similarity ratings correlate with computational feature space distances. Journal of New Music Research, 24(3), 282-298. 

 

Toiviainen, P. (1995). Modeling the target-note technique of bebop-style jazz improvisation: an artificial neural network approach. Music Perception, 12(4), 399-413. Audio example 

 

Book Chapters 

Luck, G. & Toiviainen, P. (2012). Movement and musical expression. In A. R. Brown (Ed.), Sound musicianship: Understanding the crafts of music. Newcastle upon Tyne: Cambridge Scholars Publishing, 167-177. 

Toiviainen, P. (2008). Visualization of tonal content in the symbolic and audio domains. In W. B. Hewlett & E. Selfridge-Field (Eds.), Tonal theory in the digital age. Computing in Musicology, vol. 15 Cambridge, MA: MIT Press, 187-199. 

 

Toiviainen, P. (2008). Musikalische Wahrnehmung und Kognition im Computermodell. In H. Bruhn, R. Kopiez, & A. C. Lehmann (Eds.), Das neue Handbuch der Musikpsychologie. Hamburg: Rowohlt, 476-489. 

Toiviainen, P. (2007). Psychoacoustics of electronic music. In N. Collins & J. d'Escrivan (Eds.), The Cambridge companion to electronic music. Cambridge: Cambridge University Press, 218-231. 

Toiviainen, P. & Eerola, T. (2006). Visualization in comparative music research. In A. Rizzi & M Vichi (Eds.), COMPSTAT 2006 - Proceedings in Computational Statistics. Heidelberg: Physica-Verlag, 209-221. 

 

Krumhansl, C. L. & Toiviainen, P. (2003). Tonal cognition. In I. Peretz & R. Zatorre (Ed.), The cognitive neuroscience of music. New York: Oxford University Press, 95-108. 

Toiviainen, P. (2000). Symbolic AI versus connectionism in music research. In E. Miranda (Ed.), Readings in Music and Artificial Intelligence. Amsterdam: Harwood Academic Publishers, 47-68. 

 

Toiviainen. P. (1997). Optimizing self-organizing timbre maps: two approaches. In M. Leman (Ed.), Music, Gestalt, and Computing: Studies in Cognitive and Systematic Musicology. Berlin: Springer-Verlag, 337-350. 

Book Reviews 

Toiviainen, P. (2003). Book review: Musical creativity: Multidisciplinary research in theory and practice (Ed. by I. Deliege & G. Wiggins). Music Perception, 25(3), 257-260. 

Toiviainen, P. (2003). Book review: Musical imagery (Ed. by R. I. Godoy & H. Jorgensen). Musicae Scientiae, VII(2), 307-311. 

Toiviainen, P. (1999). Book review: Musical networks (Ed. by P. M. Todd & N. Griffith). Music Perception, 17(2), 266-274. 

Conference Papers 

Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P., Brattico, E., & Nandi, A. K. (2013). Diffusion map for clustering fMRI spatial maps extracted by Independent Component Analysis. Proceedings of IEEE Workshop on Machine Learning for Signal Processing, (MLSP) 2013. 

Hartmann, M., Saari, P., Toiviainen, P., & Lartillot, O. (2013). Comparing timbre-based features for musical genre classification. In Roberto Bresin (Ed.), Proceedings of the 10th Sound and Music Computing Conference. Stockholm, Sweden: KTH Royal Institute of Technology 

Burger, B., Polet, J., Luck, G., Thompson, M. R., Saarikallio, S., & Toiviainen, P. (2013). Investigating relationships between music, emotions, personality, and music-induced movement. In G. Luck & O. Brabant (Eds.), Proceedings of the 3rd International Conference on Music and Emotion. JyvŠskylŠ, Finland: University of JyvŠskylŠ. 

Burger, B., Thompson, M. R., Saarikallio, S., Luck, G., & Toiviainen, P. (2013). Oh happy dance: Emotion recognition in dance movement. In G. Luck & O. Brabant (Eds.), Proceedings of the 3rd International Conference on Music and Emotion. JyvŠskylŠ, Finland: University of JyvŠskylŠ. 

Burger, B., Ahokas, R., Keipi, A., & Toiviainen, P. (2013). Relationships between spectral flux, perceived rhythmic strength, and the propensity to move. In R. Bresin (Ed.), Proceedings of the 10th Sound and Music Computing Conference, (SMC). Stockholm, Sweden: KTH Royal Institute of Technology. 

Burger, B. & Toiviainen, P. (2013). MoCap Toolbox Ð A Matlab toolbox for computational analysis of movement data. In R. Bresin (Ed.), Proceedings of the 10th Sound and Music Computing Conference, (SMC). Stockholm, Sweden: KTH Royal Institute of Technology. 

PuolivŠli, T., Cong, F., Alluri, V., Lin, Q.-H., Toiviainen, P., Nandi, A.K., Brattico, E., & Ristaniemi, T. (2013). Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. Proc. of International Conference on Acoustics, Speech, and Signal Processing 2013 (ICASSP 2013), Vancouver, Canada, 1310-1314. 

Tsatsishvili, V., Cong, F., PuolivŠli, T., Alluri, V., Toiviainen, P., Nandi, A.K., Brattico, E., & Ristaniemi, T. (2013). Dimension reduction for individual ICA to decompose fMRI during real-world experiences: principal component analysis vs. canonical correlation analysis. Proc. of 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 137Ð142. 

Burger, B., Saarikallio, S., Luck, G., Thompson, M.R., & Toiviainen, P. (2012). Emotions Move Us: Basic Emotions in Music Influence People's Movement to Music. In E. Cambouropoulos, C. Tsougras, P. Mavromatis, & K. Pastiadis (Eds.), Proc. of the 12th International Conference on Music Perception and Cognition. Thessaloniki: University of Thessaloniki, 177-182. 

Burger, B., Thompson, M.R., Luck, G., Saarikallio, S., & Toiviainen, P. (2012). Music Moves Us: Beat-Related Musical Features Influence Regularity of Music-Induced Movement. In E. Cambouropoulos, C. Tsougras, P. Mavromatis, & K. Pastiadis (Eds.), Proc. of the 12th International Conference on Music Perception and Cognition. Thessaloniki: University of Thessaloniki, 183-187. 

Luck, G., Saarikallio, S., Thompson, M.R., Burger, B., & Toiviainen, P. (2012). Do Opposites Attract? Personality and Seduction on the Dance Floor. In E. Cambouropoulos, C. Tsougras, P. Mavromatis, & K. Pastiadis (Eds.), Proc. of the 12th International Conference on Music Perception and Cognition. Thessaloniki: University of Thessaloniki, 626-629. 

Luck, G., Saarikallio, S., Thompson, M.R., Burger, B., & Toiviainen, P. (2012). Hips Don't Lie: Multi-Dimensional Ratings of Opposite-Sex Dancers' Perceived Attractiveness. In E. Cambouropoulos, C. Tsougras, P. Mavromatis, & K. Pastiadis (Eds.), Proc. of the 12th International Conference on Music Perception and Cognition. Thessaloniki: University of Thessaloniki, 630-634. 

Martorell, A., Toiviainen, P., & Gomez, E. (2012). Temporal multi-scale considerations in the modeling of tonal cognition from continuous rating experiments. In E. Cambouropoulos, C. Tsougras, P. Mavromatis, & K. Pastiadis (Eds.), Proc. of the 12th International Conference on Music Perception and Cognition. Thessaloniki: University of Thessaloniki, 660-665. 

van Zijl, A.G.W., Toiviainen, P,. & Luck, G. (2012). The Sound of Emotion: The Effect of Performers' Emotions on Auditory Performance Characteristics. In E. Cambouropoulos, C. Tsougras, P. Mavromatis, & K. Pastiadis (Eds.), Proc. of the 12th International Conference on Music Perception and Cognition. Thessaloniki: University of Thessaloniki, 1064-1068. 

Cong, F., Phan, A. H., Zhao, Q., Nandi, A, K, Alluri, V., Toiviainen, P., Poikonen, H., Huotilainen, M., Cichocki, A., & Ristaniemi, T. (2012). Analysis of Ongoing EEG Elicited by Natural Music Stimuli Using Nonnegative Tensor Factorization. In Proc. The 2012 European Signal Processing Conference (EUSIPCO-2012), Bucharest, Romania, August 27-31, 2012, 494-498. 

Alluri, V., & Toiviainen, P. (2010). Cross-cultural Similarities in Polyphonic Timbre Perception. In Proceedings of the 11th International Conference on Music Perception and Cognition, (ICMPC). Seattle, WA: University of Washington. 

Burger, B., Thompson, M.R., Saarikallio, S., Luck, G., & Toiviainen, P. (2010). Influence of musical features on characteristics of music-induced movements. In Proceedings of the 11th International Conference on Music Perception and Cognition, (ICMPC). Seattle, WA: University of Washington. 

Luck, G., Saarikallio, S., Thompson, M.R., Burger, B., & Toiviainen, P. (2010). Effects of personality and genre on music-induced movement. In Proceedings of the 11th International Conference on Music Perception and Cognition (ICMPC). Seattle, WA: University of Washington. 

Alluri, V. & Toiviainen, P. (2009). In search of perceptual and acoustical correlates of polyphonic timbre. In Louhivuori, J., Eerola, T. Saarikallio, S., Himberg, T., & Eerola, P.-S. (Eds.), Proceedings of the 7th Conference of the European Society for Cognitive Sciences of Music. Jyväskylä, Finland. 

Laurier, C., Lartillot, O., Eerola, T., & Toiviainen, P. (2009). Exploring relationships between audio features and emotion in music. In Louhivuori, J., Eerola, T. Saarikallio, S., Himberg, T., & Eerola, P.-S. (Eds.), Proceedings of the 7th Conference of the European Society for Cognitive Sciences of Music. Jyväskylä, Finland. 

Luck, G., Saarikallio, S., & Toiviainen, P. (2009). Personality traits correlate with characteristics of music-induced movement. In Louhivuori, J., Eerola, T. Saarikallio, S., Himberg, T., & Eerola, P.-S. (Eds.), Proceedings of the 7th Conference of the European Society for Cognitive Sciences of Music. Jyväskylä, Finland. 

Eerola, T., Lartillot, O., & Toiviainen, P. (2009). Prediction of multidimensional emotional ratings in music from audio using multivariate regression models. In Proceedings of 10th International Conference on Music Information Retrieval (ISMIR 2009). 

Toiviainen, P., Eerola, T., Istok, E., Bresin, R., & Peretz, I. (2008). Musical emotions: effect of structural and performance cues. In K. Miyazaki, Y. Hiraga, M. Adachi, Y. Nakajima, & M.Tsuzaki (Eds.), Proceedings of the 10th International Conference on Music Perception and Cognition. Sapporo. 

Lartillot, O., Eerola, T., Toiviainen, P., & Fornari, J. (2008). Multi-Feature Modeling of Pulse Clarity from Audio. In K. Miyazaki, Y. Hiraga, M. Adachi, Y. Nakajima, & M.Tsuzaki (Eds.), Proceedings of the 10th International Conference on Music Perception and Cognition. Sapporo, 531-539. 

Phillips-Silver, J., Peretz, I., Gosselin, N., Toiviainen, P., & Piche, O. (2008). Does amusic mean unmusical? In K. Miyazaki, Y. Hiraga, M. Adachi, Y. Nakajima, & M.Tsuzaki (Eds.), Proceedings of the 10th International Conference on Music Perception and Cognition. Sapporo, 348-352. 

Lartillot, O., Toiviainen, P., & Eerola, T. (2008). A Matlab Toolbox for Music Information Retrieval. In Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme (Eds.), Proceedings of the 31st Annual Conference of the Gesellschaft Fuer Klassifikation. Studies in Classification, Data Analysis, and Knowledge Organization. Berlin: Springer-Verlag, 261-268. 

Lartillot, O., Eerola, T., Toiviainen, P., & Fornari, J. (2008). Multi-feature modeling of pulse clarity: Design, validation, and optimisation. In Proceedings of the International Conference on Music Information Retrieval, Philadelphia. 

Luck, G. & Toiviainen, P. (2007) Ideal singing posture: evidence from behavioural studies and computational motion analysis. In K. Maimets-Volk, R. Parncutt, M. Marin & J. Ross (Eds.), Proceedings of the third Conference on Interdisciplinary Musicology (CIM07)Tallinn, Estonia, 15-19 August 2007. 

Luck, G., Erkkilä, J., Toiviainen, P., Lartillot, O., & Riikkilä, K. (2007) A computational analysis of musical features: predicting type of mental disorder from music therapy clients' improvisations. In Proceedings of Mathematics and Computing in Music, Berlin, Germany, 2007, pp. 113-118. 

Lartillot, O. & Toiviainen, P. (2007). MIR in Matlab (II): A Toolbox for Musical Feature Extraction From Audio. In Proceedings of 8th International Conference on Music Information Retrieval 2007. 

Lartillot, O. & Toiviainen, P. (2007). A Matlab Toolbox for Musical Feature Extraction From Audio. In Proceedings of International Conference on Digital Audio Effects (DAFx), Bordeaux, 2007 

Eerola, T., Luck, G., & Toiviainen, P. (2006). An investigation of pre-schoolers' corporeal synchronization with music. In M. Baroni, A. R. Addessi, R. Caterina & M. Costa (Eds.) Proceedings of the 9th International Conference on Music Perception & Cognition, Bologna, 2006, pp. 472-476, Bologna, Italy: ICMPC and ESCOM. 

Toiviainen, P. (2005). Measuring and modelling dynamical phenomena of music perception. In A Russell, T. Honkela, K. Lagus, & M. Pöllä (Eds.), Proceedings of AMKLC'05 Symposium on Adaptive Models of Knowledge, Language and Cognition. Espoo: Otamedia. 

Eerola, T. & Toiviainen, P. (2004). MIR in Matlab: The Midi Toolbox. In Proceedings of 5th International Conference on Music Information Retrieval (ISMIR 2004), pp. 22-27, Barcelona, 2004. Barcelona, Spain: Universitat Pompeu Fabra. 

Toiviainen, P. & Eerola, T. (2004). The Role of Accent Periodicities in Meter Induction: A Classification Study. In S. D. Libscomb, R. Ashley, R. O. Gjerdingen, P. Webster (Eds.), Proceedings of the 8th International Conference on Music Perception & Cognition, Evanston, IL, 2004, (pp. 422-425), Causal productions: Adelaide, Australia. 

Toiviainen, P. & Eerola T. (2003). Where is the beat?: Comparison of Finnish and South-African listeners. In R. Kopiez, A. C. Lehmann, I. Wolther, & C. Wolf (Eds.), Proceedings of the 5th triennial conference of the European society for the cognitive sciences of music (ESCOM). CD-ROM. 

Toiviainen, P. & Eerola T. (2002). A computational model of melodic similarity based on multiple representations and self-organizing maps. In C. Stevens, D. Burnham, G. McPherson, E. Schubert, & J. Renwick (Eds.), Proceedings of the 7th International Conference on Music Perception and Cognition. CD-ROM. 

Eerola, T., Toiviainen, P., & Krumhansl, C. L. (2002). Real-time prediction of melodies: continuous predictability judgments and dynamic models. In C. Stevens, D. Burnham, G. McPherson, E. Schubert, & J. Renwick (Eds.), Proceedings of the 7th International Conference on Music Perception and Cognition. CD-ROM. 

Eerola, T. & Toiviainen, P. (2001). A method for comparative analysis of folk music based on musical feature extraction and neural networks. In H. Lappalainen (Ed.), Proceedings of the VII International Symposium of Systematic and Comparative Musicology and the III International Conference on Cognitive Musicology. Jyväskylä: University of Jyväskylä. 

Krumhansl, C. L., & Toiviainen, P. (2001). Tonal cognition. In R. J. Zatorre & I. Peretz (Eds.), The Biological Foundations of Music. Annals of the New York Academy of Sciences. New York, NY: New York Academy of Sciences, 77-91. 

Krumhansl, C. L., & Toiviainen, P. (2000). Dynamics of tonality induction: A new method and a new model. In C. Woods, G. Luck, R. Brochard, F. Seddon, & J. A. Sloboda (Eds.), Proceedings of the Sixth International Conference on Music Perception and Cognition. Keele: Keele University. 

Toiviainen, P., & Snyder, J. (2000). The time-course of pulse sensation: Dynamics of beat induction. In C. Woods, G. Luck, R. Brochard, F. Seddon, & J. A. Sloboda (Eds.), Proceedings of the Sixth International Conference on Music Perception and Cognition. Keele: Keele University. 

Snyder, J., & Toiviainen, P. (2000). How two voices make a whole: Contrapuntal competition for attention in human and machine pulse-finding. In C. Woods, G. Luck, R. Brochard, F. Seddon, & J. A. Sloboda (Eds.), Proceedings of the Sixth International Conference on Music Perception and Cognition. Keele: Keele University. 

Eerola, T., Järvinen, T., Louhivuori, J., & Toiviainen, P. (2000). Categorising folk melodies using similarity ratings. In C. Woods, G. Luck, R. Brochard, F. Seddon, & J. A. Sloboda (Eds.), Proceedings of the Sixth International Conference on Music Perception and Cognition. Keele: Keele University. 

Järvinen, T., Toiviainen, P., & Louhivuori, J. (1999). Classification and categorization of musical styles with statistical analysis and self-organizing maps. Proceedings of the AISB'99 Symposium on Musical Creativity. Edinburgh: AISB, 54-57. 

Toiviainen, P. (1998). Intelligent jazz accompanist: A real-time system for recognizing and accompanying musical improvisations. In P. Koikkalainen & S. Puuronen (Eds.), Human and artificial information processing. Jyväskylä: University of Jyväskylä, Finnish Artificial Intelligence Society, 264-270. 

Tervaniemi, M., Toiviainen, P., Louhivuori, J., Saher, M., Huotilainen, M., & Näätänen, R. (1998). Neural, behavioral, and computational measures of timbre similarity converge. In P. Koikkalainen & S. Puuronen (Eds.), Human and artificial information processing. Jyväskylä: University of Jyväskylä, Finnish Artificial Intelligence Society, 251-257. 

Toiviainen, P. (1998). Intelligent jazz accompanist: a real-time system for recognizing, following and accompanying musical improvisations. In Proceedings of the XII Colloquium on Musical Informatics. Udine: AIMI, 101-104. 

Louhivuori, J. & Toiviainen, P. (1997). Melodic expectancy - Comparison between behavioral test and neural network model. In A. Camurri (Ed.), KANSEI - The Technology of Emotion. Proceedings of AIMI International Workshop. Genoa: AIMI/DIST, 189-192. 

Toiviainen. P. (1997). Modelling the perception of metre with competing subharmonic oscillators. In A. Gabrielsson (Ed.), Proceedings of the Third Triennial ESCOM Conference. Uppsala: Uppsala University, 511-516. 

Toiviainen. P. (1996). Optimizing self organizing timbre maps: two approaches. In M. Leman (Ed.), Proceedings of JIC96-Brugge. Gent: IPEM, 264-271. 

Toiviainen. P. (1995). Optimizing self-organizing timbre maps: the effect of auditory images and distance metrics. In L. Finarelli & F. Regazzi (Eds.), Proceedings of the XI Colloquium on Musical Informatics. Bologna: AIMI, 141-144. 

Kaipainen, M., Toiviainen, P. & Louhivuori, J. (1995). A self-organizing map that generates melodies: modeling and testing spontaneously developing implicit grammars. In Proceedings of the International Congress in Music & AI. Edinburgh. 

Kaipainen, M., Toiviainen, P. & Louhivuori, J. (1995). A self-organizing map that recognizes and generates melodies. In P. Pylkkänen & P. Pylkkö (Eds.), New directions in cognitive science. Publications of the Finnish Artificial Intelligence Society, 286-315. 

Toiviainen, P. (1993). Modelling harmony-based jazz improvisation: an artificial neural net approach. In G. Haus & I. Pighi (Eds.), Proceedings of the X Colloquium on Musical Informatics. Milano: AIMI/LIM-DSI, 117-124. 

Toiviainen, P. (1993). An artificial neural network approach for modelling harmony-based jazz improvisation. In H. Katayose (Ed.), Proceedings of IAKTA/LIST International Workshop on Knowledge Technology in the Arts. Osaka: IAKTA/LIST, 79-86. 

Toiviainen, P. (1992). The organisation of timbres: a two-stage neural network model. In G. Widmer (Ed.), Workshop Notes of the ECAI 92 Workshop on Artificial Intelligence and Music. Vienna: ECCAI. 

Other Publications 

Krumhansl, C. L. & Toiviainen, P. (2000). Melodic expectation: a link between perception and emotion. Psychological Science Agenda, March/April 2000, 8-10. 

Toiviainen. P. (1995). Modelling musical cognition with artificial neural networks. Doctoral dissertation. University of Jyväskylä. 

In Finnish 

Toiviainen, P., & Eerola, T. (2007). Musiikki, tiede, kognitio ja teknologia - moderni musiikintutkimuksen paradigma. In H. Hanka, I. Ylönen, M.-L. Tynkkynen (toim.), Humanistista kirjoa. Jyväskylän yliopisto, 105-119. 

Eerola, T., & Toiviainen, P. (2006). Ilmari Krohn - musiikin sisältöhaun pioneeri. Teoksessa Eerola, T., Myllyaho, M., Pöyhönen, M., Savolainen, P., & Toiviainen, P. (toim.), Musica viva! - Matti Vainion juhlakirja. Jyväskylä: Minerva, 113-121. 

Eerola, T. & Toiviainen, P. (2005). Musiikkiteknologia musiikintutkimuksen renkinä. Musiikki, 1-2/2005, 6-33. 

Toiviainen, P. & Eerola, T. (2005). Musiikkitietokannat kansanmusiikin tutkimuksessa. Musiikin suunta, 1/2005, 5-11. 

Eerola, T. & Toiviainen, P. (2005). Musiikin metrin laskennallinen tunnistaminen. Teoksessa T. Eerola & P. Toiviainen, Suomen musiikintutkijoiden symposiumin satoa. Jyväskylä: Musiikin laitos, Jyväskylän yliopisto, 25-29. 

Eerola, T. & Toiviainen, P. (2004). Suomen Kansan eSävelmät. Suomalaisten kansansävelmien elektroninen tietovaranto [Digital Archive of Finnish Folk Tunes]. University of Jyväskylä. URL: pics/sks 

Toiviainen, P., Eerola, T. & Louhivuori, J. (2003). Kognitiivinen musiikkitiede. Teoksessa T. Eerola, J. Louhivuori & P. Moisala (toim.), Johdatus musiikintutkimukseen. Suomen musiikkitieteellinen seura, 87-109. 

Salavuo, M., Toiviainen, P., & Välimäki, V. (2003). Teknologia musiikintutkimuksessa. Teoksessa T. Eerola, J. Louhivuori & P. Moisala (toim.), Johdatus musiikintutkimukseen. Suomen musiikkitieteellinen seura, 327-336. 

Louhivuori, J., Kaipainen, M. & Toiviainen, P. (1996). Runosävelmiä oppiva ja tuottava itseorganisoituva keinotekoinen hermoverkko. Etnomusikologian vuosikirja 8. Helsinki: Suomen etnomusikologinen seura. 

Toiviainen. P. (1993). Konnektionismi ja musiikin kognitio - diskreetit kompleksiset dynaamiset systeemit musiikillisten ilmiöiden mallintamisessa. Lisensiaatintyö. JY / musiikkitieteen laitos. 

Toiviainen, P. (1992). Jazzimprovisaatiota oppiva ja tuottava hermoverkko. Teoksessa J. Louhivuori ja A. Sormunen (toim.), Kognitiivinen musiikkitiede. Jyväskylän yliopiston musiikkitieteen laitoksen julkaisusarja A: tutkielmia ja raportteja, 191-211. 

Toiviainen, P. (1992). Keinotekoiset hermoverkot ja niiden käyttö musiikin tutkimuksessa. Teoksessa J. Louhivuori ja A. Sormunen (toim.) Kognitiivinen musiikkitiede. Jyväskylän yliopiston musiikkitieteen laitoksen julkaisusarja A: tutkielmia ja raportteja, 127-148.