Abstract
Music is a form of communication that relies on highly structured temporal sequences comparable in complexity to language. Music is found among all human cultures, and musical languages vary across cultures with learning. Tonality – a set of stability and attraction relationships perceived among musical frequencies – is a universal feature of music, found in virtually every musical culture. In this chapter, a new theory of central auditory processing and development is proposed, and its implications for tonal cognition and perception are explored. A simple model is put forward, based on knowledge of auditory organization and general neurodynamic principles. The model is simplified as compared to the organization and dynamics of the real auditory system, nevertheless it makes realistic predictions about neurodynamics. The analysis predicts the existence of natural resonances, the potential for tonal language learning, the perceptual categorization of intervals, and most importantly, relative stability and attraction relationships among musical tones. This approach suggests that high-level music cognition and perception may arise from the interaction of acoustic signals with the dynamics of the auditory system. Musical universals are predicted by intrinsic neurodynamics that provide a direct link to neurophysiology, and Hebbian synaptic modification could explain how different tonal languages are established.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bailek, W.: Physical limits to sensation and perception. Annual Review of Biophysics and Biophysical Chemistry 16, 455–478 (1987)
Bharucha, J.J.: Anchoring effects in music: The resolution of dissonance. Cognitive Psychology 16, 485–518 (1984)
Bharucha, J.J., Stoeckig, K.: Reaction-Time and Musical Expectancy - Priming of Chords. Journal of Experimental Psychology-Human Perception and Performance 12, 403–410 (1986)
Burns, E.M.: Intervals, scales, and tuning. In: Deustch, D. (ed.) The Psychology of Music, pp. 215–264. Academic Press, San Diego (1999)
Burns, E.M., Campbell, S.L.: Frequency and frequency ratio resolution by possessors of relative and absolute pitch: Examples of categorical perception? Journal of the Acoustical Society of America 96, 2704–2719 (1994)
Camalet, S., Duke, T., Julicher, F., Prost, J.: Auditory sensitivity provided by self tuned critical oscillations of hair cells. Proceedings of the National Academy of Sciences 97, 3183–3188 (1999)
Cartwright, J.H.E., Gonzalez, D.L., Piro, O.: Nonlinear Dynamics of the Perceived Pitch of Complex Sounds. Physical Review Letters 82, 5389–5392 (1999)
Choe, Y., Magnasco, M.O., Hudspeth, A.J.: A model for amplification of hair-bundle motion by cyclical binding of Ca2+ to mechanoelectrical-transduction channels. Proceedings of the National Academy of Sciences 95, 15321–15336 (1998)
Cuddy, L.L., Lunney, C.A.: Expectancies generated by melodic intervals: Perceptual judgements of melodic continuity. Perception & Psychophysics 57, 451–462 (1995)
Dowling, W.J.: Scale and contour: Two components of a theory of memory for melodies. Psychological Review 85, 341–354 (1978)
Dowling, W.J., Fujitani, D.S.: Contour, interval and pitch recognition in memory for melodies. Journal of the Acoustical Society of America 49, 524–531 (1971)
Drover, J.D., Ermentrout, B.: Nonlinear coupling near a degenerate Hopf (Bautin) Bifurcation. SIAM Journal On Applied Mathematics 63, 1627–1647 (2003)
Eerola, T., Toiviainen, P.: Finnish Folksong Database (2004), http://www.jyu.fi/hum/laitokest/musiikki/en/research/coe/materials/collectiondownload (Retrieved October 13, 2010)
Grothe, B.: New roles for synaptic inhibition in sound localization. Nature Reviews Neuroscience 4, 540–550 (2003)
Grothe, B., Klump, G.M.: Temporal processing in sensory systems. Current Opinion in Neurobiology 10, 467–473 (2000)
Guckenheimer, J., Kuznetsov, Y.A.: Bautin bifurcation. Scholarpedia 2, 1853 (2007)
Helmholtz, H.L.F.: On the sensations of tone as a physiological basis for the theory of music. Dover Publications, New York (1863)
Hoppensteadt, F.C., Izhikevich, E.M.: Synaptic organizations and dynamical properties of weakly connected neural oscillators I: Analysis of a canonical model. Biological Cybernetics 75, 117–127 (1996a)
Hoppensteadt, F.C., Izhikevich, E.M.: Synaptic organizations and dynamical properties of weakly connected neural oscillators II: Learning phase information. Biological Cybernetics 75, 126–135 (1996b)
Hoppensteadt, F.C., Izhikevich, E.M.: Weakly Connected Neural Networks. Springer, Heidelberg (1997)
Kameoka, A., Kuriyagawa, M.: Consonance theory part II: Consonance of complex tones and its calculation method. Journal of the Acoustical Society of America 45, 1460–1471 (1969)
Kemp, D.T.: Evidence of mechanical nonlinearity and frequency selective wave amplification in the cochlea. European Archives of Oto-Rhino-Laryngology 224, 370 (1979)
Kern, A., Stoop, R.: Essential role of couplings between hearing nonlinearities. Physical Review Letters 91, 128101–128104 (2003)
Knopoff, L., Hutchinson, W.: Entropy as a measure of style: The influence off sample length. Journal of Music Theory 27, 75–97 (1983)
Krumhansl, C.L.: Cognitive foundations of musical pitch. Oxford University Press, NY (1990)
Krumhansl, C.L., Kessler, E.J.: Tracing the dynamic changes in perceived tonal organization in a spatial representation of musical keys. Psychological Review 89(4), 334–368 (1982)
Langner, G.: Periodicity coding in the auditory system. Hearing Research 60, 115–142 (1992)
Langner, G.: Temporal processing of periodic signals in the auditory system: Neuronal representation of pitch, timbre, and harmonicity. Z Audiol. 46, 21–80 (2007)
Large, E.W., Almonte, F., Velasco, M.: A canonical model for gradient frequency neural networks. Physica D: Nonlinear Phenomena 239(12), 905–911 (2010)
Large, E.W., Crawford, J.D.: Auditory temporal computation: Interval selectivity based on post-inhibitory rebound. Journal of Computational Neuroscience 13, 125–142 (2002)
Larson, S.: Musical Forces and Melodic Expectations: Comparing Computer Models and Experimental Results. Music Perception 21, 457–498 (2004a)
Larson, S.: Musical forces and melodic expectations: Comparing computer models and experimental results. Music Perception 21, 457–498 (2004b)
Lerdahl, F.: Tonal Pitch Space. Oxford University Press, New York (2001)
Loosen, F.: Intonation of solo violin performance with reference to equally temepred, Pythagorean and just intonations. Journal of the Acoustical Society of America 93, 25–539 (1993)
Massaro, D.W., Kallman, H.J., Kelly, J.L.: The role of tone height, melodic contour, and tone chroma in melody recognition. Journal of Experimental Psychology: Human Learning and Memory 6, 77–90 (1980)
Plomp, R., Levelt, W.J.M.: Tonal consonance and critical bandwidth. Jounal of the Acoustical Society of America 38, 548–560 (1965)
Prince, A., Smolensky, P.: Optimality: From Neural Networks to Universal Grammar. Science 275, 1604–1610 (1997)
Ruggero, M.A.: Responses to sound of the basilar membrane of the mamalian cochlea. Current Opinion in Neurobiology 2, 449–456 (1992)
Smith, J.D., Nelson, D.G., Grohskopf, L.A., Appleton, T.: What child is this? What interval was that? Familiar tunes and music perception in novice listeners. Cognition 52, 23–54 (1994)
Tillmann, B., Bharucha, J.J., Bigand, E.: Implicit learning of tonality: A self-organizing approach. Psychological Review 107, 885–913 (2000)
Trehub, S.E., Morrongiello, B.A., Thorpoe, L.A.: Children’s perception of familiar melodies: The role of interval contour and key. Psychomusicolgy 5, 39–48 (1985)
von Bekesy, G.: Experiments in Hearing. McGraw-Hill Book Co., New York (1960)
Wiggins, S.: Introduction to Applied Nonlinear Dynamical Systems and Chaos. Springer, New York (1990)
Wilson, H.R., Cowan, J.D.: A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Kybernetik 13, 55–80 (1973)
Wright, A.A., Rivera, J.J., Hulse, S.H., Shyan, M., Neiworth, J.J.: Music perception and octae generalization in Rhesus monkeys. Journal of Experimental Psychology: General 129, 291–307 (2000)
Zuckerkandl, V.: Sound and Symbol: Music and the External World (WR Trask, Trans.). Princeton University Press, Princeton (1956)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Large, E.W. (2010). A Dynamical Systems Approach to Musical Tonality. In: Huys, R., Jirsa, V.K. (eds) Nonlinear Dynamics in Human Behavior. Studies in Computational Intelligence, vol 328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16262-6_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-16262-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16261-9
Online ISBN: 978-3-642-16262-6
eBook Packages: EngineeringEngineering (R0)