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Petri Toiviainen / Publications
Journal Articles
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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
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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), 203Ã212.
http://doi.org/dx.doi.org/10.1037/pmu0000183Â
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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/s00426-017-0894-2Â
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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.2017.00230Â
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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), 2955Ã2970.
doi:10.1002/hbm.23565.Â
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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:
10.1080/09298215.2016.1230137Â
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2016
Hartmann, M., Lartillot, O., & Toiviainen,
P. (2016). Multi-scale
modelling of segmentation: effect of musical training and experimental
task. Music Perception,
34(2), 192Ã217. doi: 10.1525/MP.2016.34.2.192Â
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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/srep33056Â
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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.Â
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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.2015.09.005Â
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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.Â
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.Â
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.Â
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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.2015.00466Â
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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, 25Ã34. DOI: 10.1016/j.heares.2014.12.007Â
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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.2014.00903Â
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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.Â
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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.2014.04.012Â
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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: 10.1177/1029864914532281Â
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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.Â
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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, 74Ã84. DOI:
10.1016/j.jneumeth.2013.11.025Â
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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.2013.11.017Â
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2013
Stacho, L., Saarikallio, S., Van Zijl, A.,
Huotilainen, M., Toiviainen, P. (2013). Perception of
emotional content in musical performances by 3Ã7-year- old
children. Musicae
Scientiae, 17(4), 495Ã512. DOI:
10.1177/1029864913497617Â
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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.Â
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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/a0032589Â
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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.Â
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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.2013.06.064Â
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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.Â
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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.Â
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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.Â
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Alluri, V. & Toiviainen, P. (2012). Effect of Enculturation on the
Semantic and Acoustic Correlates of Polyphonic Timbre. Music
Perception, 29(3), 297-310.Â
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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.2011.11.019Â
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–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.2011.02.002Â
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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.2010.10.001Â
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Toiviainen, P., Luck,
G. & Thompson, M. (2010). Embodied meter: hierarchical
eigenmodes in music-induced movement. Music
Perception, 28(1), 59-70.Â
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Luck, G., Toiviainen, P., & Thompson, M. (2010). Perception of expression in
conductors' gestures: a continuous response study. Music
Perception, 28(1), 47-57.Â
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Alluri, V. & Toiviainen, P. (2010). Exploring perceptual and
acoustic correlates of polyphonic timbre. Music
Perception, 27(3), 223-241.Â
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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.Â
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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.Â
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Lartillot, O. & Toiviainen,
P. (2007). Motivic
matching strategies for automated pattern extraction. Musicae Scientiae,
Discussion Forum 4A, 281-314.Â
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Luck, G. P. B. & Toiviainen, P. (2006). Ensemble musicians'
synchronization with conductors' gestures: an automated
feature-extraction analysis. Music Perception, 24(2), 195-206.Â
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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.Â
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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.Â
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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.Â
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Toiviainen, P. (2005). Visualization
of tonal content with self-organizing maps and self-similarity matrices. ACM
Computers in Entertainment, 3(4), Article 3C.Â
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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.Â
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Toiviainen, P. & Snyder, J. S. (2003). Tapping to Bach: Resonance-based modeling of pulse. Music
Perception, 21(1), 43-80.Â
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Toiviainen, P. & Krumhansl, C. L. (2003). Measuring and
modeling real-time responses to music: the dynamics of tonality induction. Perception, 32(6), 741-766.
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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.Â
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Eerola, T., Järvinen,
T., Louhivuori, J., & Toiviainen, P. (2001). Statistical features and
perceived similarity of folk melodies. Music
Perception, 18(3), 275-296.Â
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Järvinen, T. & Toiviainen, P. (2000). The effect of
meter on the use of tones in jazz improvisation. Musicae Scientiae,
IV/1,55-74.Â
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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.Â
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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.Â
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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.Â
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Toiviainen, P. (1998). An interactive
MIDI accompanist. Computer Music Journal,
22(4), 63-75.Â
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Toiviainen, P. (1996). Optimizing
auditory images and distance metrics for self-organizing timbre maps. Journal
of New Music Research, 25(1), 1-30.Â
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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.Â
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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.Â
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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 exampleÂ
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Book Chapters
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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.Â
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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.Â
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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.Â
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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.Â
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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.Â
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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.Â
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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.Â
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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.Â
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Book Reviews
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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.Â
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Toiviainen, P. (2003). Book review: Musical imagery (Ed. by R. I.
Godoy & H. Jorgensen). Musicae
Scientiae, VII(2),
307-311.Â
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Toiviainen, P. (1999). Book review: Musical networks (Ed. by P. M.
Todd & N. Griffith). Music Perception,
17(2), 266-274.Â
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Conference Papers
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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.Â
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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 TechnologyÂ
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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. JyvÅ skylÅ , Finland: University
of JyvÅ skylÅ .Â
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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. JyvÅ skylÅ ,
Finland: University of JyvÅ skylÅ .Â
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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.Â
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Burger, B. & Toiviainen, P. (2013). MoCap
Toolbox à 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.Â
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PuolivÅ li, 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.Â
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Tsatsishvili, V., Cong, F., PuolivÅ li,
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, 137Ã142.Â
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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.Â
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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.Â
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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.Â
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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.Â
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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.Â
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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.Â
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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
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Alluri, V., & Toiviainen, P. (2010). Cross-cultural
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Burger, B., Thompson, M.R., Saarikallio,
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Luck, G., Saarikallio, S., Thompson,
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Laurier, C., Lartillot, O., Eerola, T., &
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Eerola, T., Lartillot,
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Toiviainen, P., Eerola, T., Istok, E., Bresin, R.,
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Lartillot, O., Eerola, T., Toiviainen, P., & Fornari,
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Phillips-Silver, J., Peretz, I., Gosselin, N., Toiviainen, P., & Piche, O. (2008). Does amusic
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Lartillot, O., Toiviainen, P., & Eerola, T. (2008). A Matlab Toolbox for Music Information Retrieval. In
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Lartillot, O., Eerola, T., Toiviainen, P., & Fornari,
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Luck, G. & Toiviainen, P. (2007) Ideal singing posture:
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Luck, G., Erkkilä, J., Toiviainen, P., Lartillot, O., & Riikkilä,
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Lartillot, O. &
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Lartillot, O. &
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Eerola, T., Luck,
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corporeal synchronization with music. In M. Baroni,
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Toiviainen, P. (2005). Measuring and modelling dynamical phenomena
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Eerola, T. &
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Toiviainen, P. & Eerola, T. (2004).
The Role of Accent Periodicities in Meter Induction: A Classification
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Toiviainen, P. & Eerola T. (2003).
Where is the beat?: Comparison of Finnish and
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Toiviainen, P. & Eerola T. (2002). A
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representations and self-organizing maps. In C. Stevens, D. Burnham, G.
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Eerola, T., Toiviainen, P., & Krumhansl, C. L. (2002). Real-time prediction of
melodies: continuous predictability judgments and dynamic models. In C.
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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
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Krumhansl, C. L., & Toiviainen, P. (2001). Tonal cognition. In R. J. Zatorre & I. Peretz
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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
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Toiviainen, P., & Snyder, J. (2000). The time-course of pulse
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Snyder, J., & Toiviainen, P. (2000). How two voices make a
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Eerola, T., Järvinen,
T., Louhivuori, J., & Toiviainen, P. (2000). Categorising folk melodies using similarity ratings.
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Järvinen, T., Toiviainen, P., & Louhivuori, J. (1999). Classification
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Tervaniemi, M., Toiviainen, P.,
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Toiviainen. P. (1997). Modelling the perception of metre with competing subharmonic oscillators. In A. Gabrielsson (Ed.), Proceedings of the Third
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Kaipainen, M., Toiviainen, P. & Louhivuori,
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Toiviainen, P. (1993). Modelling harmony-based jazz improvisation:
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Toiviainen, P. (1992). The organisation
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Other Publications
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Krumhansl, C. L. & Toiviainen, P. (2000). Melodic expectation: a link
between perception and emotion. Psychological
Science Agenda, March/April
2000, 8-10.Â
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Toiviainen. P. (1995). Modelling musical cognition with
artificial neural networks. Doctoral
dissertation. University
of Jyväskylä.Â
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In Finnish
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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.Â
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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.Â
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Eerola, T. & Toiviainen, P.
(2005). Musiikkiteknologia musiikintutkimuksen renkinä.
Musiikki, 1-2/2005, 6-33.Â
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Toiviainen, P. & Eerola, T.
(2005). Musiikkitietokannat kansanmusiikin tutkimuksessa. Musiikin
suunta, 1/2005, 5-11.Â
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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.Â
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Eerola, T. & Toiviainen, P.
(2004). Suomen Kansan eSävelmät. Suomalaisten
kansansävelmien elektroninen tietovaranto
[Digital Archive of Finnish Folk Tunes]. University of Jyväskylä. URL: pics/sksÂ
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Toiviainen, P., Eerola, T. &
Louhivuori, J. (2003). Kognitiivinen musiikkitiede. Teoksessa T. Eerola,
J. Louhivuori & P. Moisala (toim.), Johdatus musiikintutkimukseen.
Suomen musiikkitieteellinen seura, 87-109.Â
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Salavuo, M., Toiviainen, P., & Välimäki, V. (2003). Teknologia
musiikintutkimuksessa. Teoksessa T. Eerola, J. Louhivuori & P.
Moisala (toim.), Johdatus musiikintutkimukseen. Suomen
musiikkitieteellinen seura, 327-336.Â
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Louhivuori, J., Kaipainen, M. &
Toiviainen, P. (1996). Runosävelmiä oppiva ja
tuottava itseorganisoituva keinotekoinen hermoverkko. Etnomusikologian
vuosikirja 8. Helsinki: Suomen etnomusikologinen seura.Â
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Toiviainen. P. (1993). Konnektionismi
ja musiikin kognitio - diskreetit kompleksiset dynaamiset systeemit musiikillisten
ilmiöiden mallintamisessa. Lisensiaatintyö. JY / musiikkitieteen laitos.Â
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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.Â
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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.Â
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