Music psychology, or the psychology of music, may be regarded as a branch of both psychology and musicology. It aims to explain and understand musical behavior and experience, including the processes through which music is perceived, created, responded to, and incorporated into everyday life. Modern music psychology is primarily empirical; its knowledge tends to advance on the basis of interpretations of data collected by systematic observation of and interaction with human participants. Music psychology is a field of research with practical relevance for many areas, including music performance, composition, education, criticism, and therapy, as well as investigations of human aptitude, skill, intelligence, creativity, and social behavior.
Music psychology can shed light on non-psychological aspects of musicology and musical practice. For example, music psychology contributes to music theory by investigating the perception of musical structures such as melody, harmony, tonality, rhythm, meter, and form. Research in music history can benefit from psychologically inspired, systematic study of the history of musical syntax, or from psychological analyses of the personalities of composers in relation to the psychological effect of their music. Ethnomusicology can benefit from psychological approaches to the study of music cognition in different cultures.
- 1 History
- 2 Research areas
- 2.1 Perception and cognition
- 2.2 Neuropsychology
- 2.3 Cognitive musicology
- 2.4 Psychoacoustics
- 2.5 Biomusicology
- 2.6 Other areas
- 3 Journals
- 4 Centres of research and teaching
- 5 See also
- 6 References
- 7 Further reading
- 8 External links
Early history (pre-1860)
The study of sound and musical phenomenon prior to the 19th century was focused primarily on the mathematical modelling of pitch and tone. The earliest recorded experiments date from the 6th century BCE, most notably in the work of Pythagoras and his establishment of the simple string length ratios that formed the consonances of the octave. This view that sound and music could be understood from a purely physical standpoint was echoed by such theorists as Anaxagoras and Boethius. An important early dissenter was Aristoxenus, who foreshadowed modern music psychology in his view that music could only be understood though human perception and its relation to human memory. Despite his views, the majority of musical education through the Middle Ages and Renaissance remained rooted in the Pythagorean tradition, particularly through the quadrivium of astronomy, geometry, arithmetic, and music. However, research by Vincenzo Galilei (father of Galileo) demonstrated that, when string length was held constant, varying its tension, thickness, or composition could alter perceived pitch. From this he argued that simple ratios were not enough to account for musical phenomenon and that a perceptual approach was necessary. He also claimed that the differences between various tuning systems were not perceivable, thus the disputes were unnecessary. Study of topics including vibration, consonance, the harmonic series, and resonance were furthered through the scientific revolution, including work by Galileo, Kepler, Mersenne, and Descartes. This included further speculation concerning the nature of the sense organs and higher-order processes, particularily by Savart, Helmholtz, and Koenig.
Rise of an empirical music psychology (1860-1960)
The latter 19th century saw the development of modern music psychology alongside the emergence of a general empirical psychology, one which passed through similar stages of development. The first was structuralist psychology, led by Wilhelm Wundt, which sought to break down experience into its smallest definable parts. This expanded upon previous centuries of acoustic study, and included Helmholtz developing the resonator to isolate and understand pure and complex tones and their perception, the philosopher Carl Stumpf using church organs and his own musical experience to explore timbre and absolute pitch, and Wundt himself associating the experience of rhythm with kinesthetic tension and relaxation. As structuralism gave way to Gestalt psychology and behaviorism at the turn of the century, music psychology moved beyond the study of isolated tones and elements to the perception of their inter-relationships and human reactions to them, though work languished behind that of visual perception. In Europe Géza Révész and Albert Wellek developed a more complex understanding of musical pitch, and in the US the focus shifted to that of music education and the training and development of musical skill. Carl Seashore led this work, producing his The Measurement of Musical Talents and The Psychology of Musical Talent. Seashore used bespoke equipment and standardized tests to measure how performance deviated from indicated markings and how musical aptitude differed between students.
Modern music psychology (1960-present)
Music psychology in the second half of the 20th century has expanded to cover a wide array of theoretical and applied areas. These can be summarized in four areas: (1) music perception, particularly of pitch, rhythm, harmony, and melody; (2) musical development and aptitude; (3) music performance; and (4) affective responses to music. The techniques of cognitive psychology allowed for more objective examinations of musical behavior and experience, furthered more by developments in neuroscience. While much of this research has focused on music in a Western context, the field has expanded along with ethnomusicology to examine how the perception and practice of music differs between cultures. This period has also seen the founding of music psychology-specific journals, conferences, research groups, centers, and degrees.
Perception and cognition
Much work within music psychology seeks to understand the cognitive processes that support musical behaviors, including perception, comprehension, memory, attention, and performance. Originally arising in fields of psychoacoustics and sensation, cognitive theories of how people understand music more recently encompass neuroscience, cognitive science, music theory, music therapy, computer science, psychology, philosophy, and linguistics.
Music cognition focuses on how the mind makes sense of music as it is heard. It also deals with the related question of the cognitive processes involved when musicians perform music. Like language, music is a uniquely human capacity that arguably played a central role in the origins of human cognition. Although the idea of music having an effect on cognition is fairly new, researchers say that musical training increases behavioral performance. This research linking music and cognition is helping scientists to understand the great power music has on our environment today.
Music has been shown to consistently elicit emotional responses in its listeners, and this relationship between human affect and music and been studied in depth. This includes isolating which specific features of a musical work or performance convey or elicit certain reactions, the nature of the reactions themselves, and how characteristics of the listener may determine which emotions are felt. The field draws upon and has significant implications for such areas as philosophy, musicology, and aesthetics, as well the acts of musical composition and performance. The implications for casual listeners are also great; research has shown that the pleasurable feelings associated with emotional music are the result of dopamine release in the striatum—the same anatomical areas that underpin the anticipatory and rewarding aspects of drug addiction.
Consumers' choices in music have been studied as they relate to the Big Five personality traits: openness to experience, agreeableness, extraversion, neuroticism, and conscientiousness. In general, the plasticity traits (openness to experience and extraversion) affect music preference more than the stability traits (agreeableness, neuroticism, and conscientiousness). Gender has been shown to influence preference, with men choosing music for primarily cognitive reasons and women for emotional reasons. Relationships with music preference have also been found with mood and nostalgic association.
The study of background music focuses on the impact of music with non-musical tasks, including changes in behavior in the presence of different types, settings, or styles of music. In laboratory settings, music can affect performance on cognitive tasks (memory, attention, and comprehension), both positively and negatively. Used extensively as an advertising aid, music may also affect marketing strategies, ad comprehension, and consumer choices. Background music can influence learning, working memory and recall, performance while working on tests, and attention in cognitive monitoring tasks.
Cognitive neuroscience of music is the scientific study of brain-based mechanisms involved in the cognitive processes underlying music perception and performance. These behaviours include music listening, performing, composing, reading, writing, and ancillary activities. It also is increasingly concerned with the brain basis for musical aesthetics and musical emotion. Scientists working in this field may have training in cognitive neuroscience, neurology, neuroanatomy, psychology, music theory, computer science, and other allied fields, and use such techniques as functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), magnetoencephalography (MEG), electroencephalography (EEG), and positron emission tomography (PET).
The cognitive process of performing music requires the interaction of neural mechanisms in both motor and auditory systems. Since every action expressed in a performance produces a sound that influences subsequent expression, this leads to impressive sensorimotor interplay 
Perceived pitch typically depends on the fundamental frequency, though the dependence could be mediated by the presence of harmonics corresponding to that fundamental frequency. The perception of a pitch without the corresponding fundamental frequency in the physical stimulus is called the pitch of the missing fundamental. Neurons lateral to A1 in marmoset monkeys were found to be sensitive specifically to the fundamental frequency of a complex tone, suggesting that pitch constancy may be enabled by such a neural mechanism. Pitch constancy refers to the ability to perceive pitch identity across changes in acoustical properties, such as loudness, temporal envelope, or timbre. The importance of cortical regions lateral to A1 for pitch coding is also supported by studies of human cortical lesions and functional magnetic resonance imaging (fMRI) of the brain. These data suggest a hierarchical system for pitch processing, with more abstract properties of sound stimulus processed further along the processing pathways.
Behavioural studies demonstrate that rhythm and pitch can be perceived separately, but that they also interact  in creating a musical perception. Studies of auditory rhythm discrimination and reproduction in patients with brain injury have linked these functions to the auditory regions of the temporal lobe, but have shown no consistent localization or lateralization. Neuropsychological and neuroimaging studies have shown that the motor regions of the brain contribute to both perception and production of rhythms.
Even in studies where subjects only listen to rhythms, the basal ganglia, cerebellum, dPMC and SMA are often implicated. The analysis of rhythm may depend on interactions between the auditory and motor systems.
Neural correlates of musical training
Although auditory–motor interactions can be observed in people without formal musical training, musicians are an excellent population to study because of their long-established and rich associations between auditory and motor systems. Musicians have been shown to have anatomical adaptations that correlate with their training. Some neuroimaging studies have observed that musicians show lower levels of activity in motor regions than non-musicians during the performance of simple motor tasks, which may suggest a more efficient pattern of neural recruitment.
Previous neuroimaging studies have consistently reported activity in the SMA and premotor areas, as well as in auditory cortices, when non-musicians imagine hearing musical excerpts. Recruitment of the SMA and premotor areas is also reported when musicians are asked to imagine performing
Cognitive musicology can be differentiated from the fields of music cognition and cognitive neuroscience of music by a difference in methodological emphasis. Cognitive musicology uses computer modeling to study music-related knowledge representation and has roots in artificial intelligence and cognitive science. The use of computer models provides an exacting, interactive medium in which to formulate and test theories.
This interdisciplinary field investigates topics such as the parallels between language and music in the brain. Biologically inspired models of computation are often included in research, such as neural networks and evolutionary programs. This field seeks to model how musical knowledge is represented, stored, perceived, performed, and generated. By using a well-structured computer environment, the systematic structures of these cognitive phenomena can be investigated.
Psychoacoustics is the scientific study of sound perception. More specifically, it is the branch of science studying the psychological and physiological responses associated with sound (including speech and music). It can be further categorized as a branch of psychophysics.
Biomusicology is the study of music from a biological point of view. The term was coined by Nils L. Wallin in 1991. Music is an aspect of the behaviour of the human and possibly other species. As humans are living organisms, the scientific study of music is therefore part of biology, thus the "bio" in "biomusicology."
Biomusicologists are expected to have completed formal studies in both biology or other experimental sciences and musicology including music theory. The three main branches of biomusicology are evolutionary musicology, neuromusicology, and comparative musicology. Evolutionary musicology studies the "origins of music, the question of animal song, selection pressures underlying music evolution", and "music evolution and human evolution". Neuromusicology studies the "brain areas involved in music processing, neural and cognitive processes of musical processing," and "ontogeny of musical capacity and musical skill". Comparative musicology studies the "functions and uses of music, advantages and costs of music making", and "universal features of musical systems and musical behavior."
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Other specific areas of study include:
- the function of music in society, including:
- music education, including:
- development of musical behaviors and abilities throughout the lifespan
- the specific skills and processes involved in learning a musical instrument or singing
- activities and practices within a music school
- individual versus group learning of a musical instrument
- the effects of musical education on intelligence
- aspects of musical performance, including:
- the physiology of performance
- music reading and sight-reading, including eye movement
- performing from memory and music-related memory
- acts of improvisation and composition
- flow experiences
- the interpersonal/social aspects of group performance
- music performance quality evaluation (by audience or evaluator, including:
- influence of musical and non-musical factors
- the audience's positive evaluation shift as a result of an audio-visual presentation mode
- aspects of music and health, including:
Musical aptitude refers to a person's innate ability to acquire skills and knowledge required for musical activity, and may influence the speed at which learning can take place and the level that may be achieved. Study in this area focuses on whether aptitude can be broken into subsets or represented as a single construct, whether aptitude can be measured prior to significant achievement, whether high aptitude can predict achievement, to what extent aptitude is inherited, and what implications questions of aptitude have on educational principles. It is an issue closely related to that of intelligence and IQ, and was pioneered by the work of Carl Seashore. While early tests of aptitude, such as Seashore's The Measurement of Musical Talent, sought to measure innate musical talent through discrimination tests of pitch, interval, rhythm, consonance, memory, etc., later research found these approaches to have little predictive power and to be influenced greatly by the test-taker's mood, motivation, confidence, fatigue, and boredom when taking the test.
Music psychology journals include:
- Music Perception
- Musicae Scientiae
- Psychology of Music
- Psychomusicology: Music, Mind and Brain
- Jahrbuch Musikpsychologie
Music psychologists also publish in a wide range of mainstream musicology, music theory/analysis, psychology, music education, music therapy, music medicine, and systematic musicology journals. The latter include for example:
- Computer Music Journal
- Journal of New Music Research
- Journal of Mathematics and Music
- Journal of the Acoustical Society of America
- Research Studies in Music Education
Centres of research and teaching
Music psychology (including music perception, music cognition, and music performance research) is studied and researched at the following universities and music academies:
- Music, Sound and Performance Lab, Macquarie University
- Music, Mind and Wellbeing Initiative, Melbourne University
- The MARCS Institute, University of Western Sydney
- University of Western Australia
- Centre for Systematic Musicology, University of Graz
- Cognitive Psychology Unit, University of Klagenfurt
- Centre for Interdisciplinary Research in Music and Media and Technology, McGill University
- Music and Health Research Collaboratory, University of Toronto
- Music Cognition Lab, Queens University
- Auditory Perception and Music Cognition Research and Training Laboratory, University of Prince Edward Island
- SMART Lab, Ryerson University
- McMaster Institute for Music and the Mind, McMaster University
- BRAMS - International Laboratory for Brain, Music, and Sound Research, University of Montreal and McGill University
- Centre for Research on Brain, Language and Music, University of Montreal
- Music and Neuroscience Lab, University of Western Ontario
- Auditory Cognition and Psychoacoustics team, Claude Bernard University Lyon 1
- University of Burgundy
- University of Halle-Wittenberg
- Institute of Music Physiology and Musicians' Medicine, Hochschule für Musik, Theater und Medien Hannover
- University of Cologne
- University of Oldenburg
- Hochschule für Musik Würzburg
- Centre for Music and Science, Cambridge University
- International Music Education Research Centre, Institute of Education, University of London
- Centre for Psychological Research, Keele University
- Interdisciplinary Centre for Scientific Research in Music, University of Leeds
- Faculty of Music, University of Oxford
- Applied Music Research Centre, University of Roehampton
- Social and Applied Psychology Group, University of Leicester
- Centre for Performance Science, Royal College of Music
- Centre for Music Performance Research, Royal Northern College of Music
- Department of Music, Sheffield University
- Music and the Human Sciences Group, University of Edinburgh
- Music, Mind and Brain Group, Goldsmiths, University of London
- Northwestern University
- University of Oregon
- University of Texas at Dallas
- University of Texas at San Antonio
- Center for Computer Research in Music and Acoustics, Stanford University
- Cognitive and Systematic Musicology Laboratory, Ohio State University
- Eastman School of Music at the University of Rochester
- Music Cognition Lab, University of Arkansas
- Florida State University
- Cognitive musicology
- Cognitive neuroscience of music
- Psychoanalysis and music
- Music and emotion
- Music-specific disorders
- Music therapy
- Tan, Siu-Lan; Pfordresher, Peter; Harré, Rom (2010). Psychology of Music: From Sound to Significance. New York: Psychology Press. p. 2. ISBN 978-1-84169-868-7.
- Deutsch, Diana. "Psychology of Music, History, Antiquity to the 19th century". Grove Music Online, Oxford Music Online. Oxford University Press. Retrieved 9 April 2014.
- Gabrielsson, Alf. "Psychology of Music, History, 1860-1960". Grove Music Online, Oxford Music Online. Oxford University Press. Retrieved 9 April 2014.
- Sloboda, John. "Psychology of Music, History, The late 20th century". Grove Music Online, Oxford Music Online. Oxford University Press. Retrieved 9 April 2014.
- Deutsch, D. (Ed.) (2013). The Psychology of Music, 3rd Edition. Weblink
- Mithen, Steven (2007). The Singing Neanderthals: The Origins of Music, Language, Mind and Body. Cambridge, MA: Harvard University Press. ISBN 978-0674025592.
- Moreno, Sylvain (June 2009). "Can Music Influence Language and Cognition?". Contemporary Music Review 28 (3): 23–36.
- Sloboda, John. "Psychology of Music, Affect". Grove Music Online, Oxford Music Online. Oxford University Press. Retrieved 16 April 2014.
- Salimpoor, VN; Benovoy, M; Larcher, K; Dagher, A; Zatorre, RJ (2011). "Anatomically distinct dopamine release during anticipation and experience of peak emotion to music". Nature Neuroscience 14 (2): 257–62. doi:10.1038/nn.2726. PMID 21217764.
- Miranda, Dave; Morizot, Julien & Gaudreau, Patrick (27 March 2012). "Personality Metatraits and Music Preferences in Adolescence: A Pilot Study". International Journal of Adolescence and Youth 15 (4): 289–301. doi:10.1080/02673843.2010.9748036.
- Chamorro-Premuzic, Tomas; Swami, Viren & Cermakova, Blanka (22 December 2010). "Individual differences in music consumption are predicted by uses of music and age rather than emotional intelligence, neuroticism, extraversion or openness". Psychology of Music 40 (3): 285–300. doi:10.1177/0305735610381591.
- Vuoskoski, Jonna K.; Eerola, Tuomas (13 July 2011). "Measuring music-induced emotion: A comparison of emotion models, personality biases, and intensity of experiences". Musicae Scientiae 15 (2): 159–173. doi:10.1177/1029864911403367.
- Barret, Frederick S.; Grimm, Kevin J., Robins, Richard W.,Wildschut, Tim, Constantine, Sedikides, Janata, Petr (June 2010). "Music-evoked nostalgia: Affect, memory, and personality". Emotion 10 (3): 390–403. doi:10.1037/a0019006. PMID 20515227.
- Kampfe, J.; Sedlmeier, P.; Renkewitz, F. (8 November 2010). "The impact of background music on adult listeners: A meta-analysis". Psychology of Music 39 (4): 424–448. doi:10.1177/0305735610376261.
- de Groot, Annette M. B. (1 September 2006). "Effects of Stimulus Characteristics and Background Music on Foreign Language Vocabulary Learning and Forgetting". Language Learning 56 (3): 463–506. doi:10.1111/j.1467-9922.2006.00374.x.
- Aheadi, A.; Dixon, P.; Glover, S. (21 July 2009). "A limiting feature of the Mozart effect: listening enhances mental rotation abilities in non-musicians but not musicians". Psychology of Music 38 (1): 107–117. doi:10.1177/0305735609336057.
- Alley, Thomas R.; Greene, Marcie E. (16 October 2008). "The Relative and Perceived Impact of Irrelevant Speech, Vocal Music and Non-vocal Music on Working Memory". Current Psychology 27 (4): 277–289. doi:10.1007/s12144-008-9040-z.
- Cassidy, G.; MacDonald, R. A.R. (1 July 2007). "The effect of background music and background noise on the task performance of introverts and extraverts". Psychology of Music 35 (3): 517–537. doi:10.1177/0305735607076444.
- Patston, Lucy L. M.; Tippett, Lynette J. (1 December 2011). "The Effect of Background Music on Cognitive Performance in Musicians and Nonmusicians". Music Perception: An Interdisciplinary Journal 29 (2): 173–183. doi:10.1525/mp.2011.29.2.173.
- Avila, C.; Furnham, A.; McClelland, A. (9 November 2011). "The influence of distracting familiar vocal music on cognitive performance of introverts and extraverts". Psychology of Music 40 (1): 84–93. doi:10.1177/0305735611422672.
- Olivers, Christian N.L.; Nieuwenhuis, Sander (1 April 2005). "The Beneficial Effect of Concurrent Task-Irrelevant Mental Activity on Temporal Attention". Psychological Science 16 (4): 265–269. doi:10.1111/j.0956-7976.2005.01526.x.
- Beanland, Vanessa; Allen, Rosemary A.; Pammer, Kristen (1 December 2011). "Attending to music decreases inattentional blindness". Consciousness and Cognition 20 (4): 1282–1292. doi:10.1016/j.concog.2011.04.009.
- Zatorre, Robert J., Joyce L. Chen, and Virginia B. Penhune. "When the Brain Plays Music: Auditory–motor Interactions in Music Perception and Production." Nature Reviews Neuroscience 8.7 (2007): 547-58. Print
- Bendor, D. & Wang, X. The neuronal representation of pitch in primate auditory cortex. Nature 436, 1161–1165 (2005).
- Zatorre1, R. J. Pitch perception of complex tones and human temporal-lobe function. J. Acoust. Soc. Am. 84, 566–572 (1988).
- Johnsrude, I. S., Penhune, V. B. & Zatorre, R. J. Functional specificity in the right human auditory cortex for perceiving pitch direction. Brain 123, 155–163 (2000).
- Penagos, H., Melcher, J. R. & Oxenham, A. J. A neural representation of pitch salience in nonprimary human auditory cortex revealed with functional magnetic resonance imaging. J. Neurosci. 24, 6810–6815 (2004).
- Krumhansl, C. L. Rhythm and pitch in music cognition. Psychol. Bull. 126, 159–179 (2000).
- Jones, M. R., Moynihan, H., MacKenzie, N. & Puente, J. Temporal aspects of stimulus-driven attending in dynamic arrays. Psychol. Sci. 13, 313–319 (2002).
- Penhune, V. B., Zatorre, R. J. & Feindel, W. H. The role of auditory cortex in retention of rhythmic patterns in patients with temporal-lobe removals including Heschl’s gyrus. Neuropsychologia 37, 315–331 (1999).
- Peretz, I. Processing of local & global musical information by unilateral brain-damaged patients. Brain 113, 1185–1205 (1990).
- Kester, D. B. et al. Acute effect of anterior temporal lobectomy on musical processing. Neuropsychologia 29, 703–708 (1991).
- Janata, P. & Grafton, S. T. Swinging in the brain: shared neural substrates for behaviors related to sequencing and music. Nature Neurosci. 6, 682–687 (2003).
- Sakai, K. et al. Neural representation of a rhythm depends on its interval ratio. J. Neurosci. 19, 10074–10081 (1999).
- Grahn, J. A. & Brett, M. Rhythm and beat perception in motor areas of the brain. J. Cogn. Neurosci. 19, 893–906 (2007).
- Chen, J. L., Penhune, V. B. & Zatorre, R. J. in Society for Neuroscience Abst. 747.15 (Atlanta GA, 2006).
- Hund-Georgiadis, M. & von Cramon, D. Y. Motorlearning-related changes in piano players and nonmusicians revealed by functional magnetic-resonance signals. Exp. Brain Res. 125, 417–425 (1999).
- Jancke, L., Shah, N. J. & Peters, M. Cortical activations in primary and secondary motor areas for complex bimanual movements in professional pianists. Brain Res. Cogn. Brain Res.10, 177–183 (2000).
- Koeneke, S., Lutz, K., Wustenberg, T. & Jäncke, L. Longterm training affects cerebellar processing in skilled keyboard players. Neuroreport 15, 1279–1282 (2004).
- Meister, I. G. et al. Playing piano in the mind—an fMRI study on music imagery and performance in pianists. Brain Res. Cogn. Brain Res. 19, 219–228 (2004).
- Callicott, J. H., Mattay, V. S., Duyn, J. H. & Weinberger, D. R. Cortical systems associated with covert music rehearsal. NeuroImage 16, 901–908 (2002).
- Laske, Otto (1999). Navigating New Musical Horizons (Contributions to the Study of Music and Dance). Westport: Greenwood Press. ISBN 978-0-313-30632-7.
- Laske, O. (1999). AI and music: A cornerstone of cognitive musicology. In M. Balaban, K. Ebcioglu, & O. Laske (Eds.), Understanding music with ai: Perspectives on music cognition. Cambridge: The MIT Press.
- Graci, C. (2009-2010) A brief tour of the learning sciences featuring a cognitive tool for investigating melodic phenomena. Journal of Educational Technology Systems, 38(2), 181-211.
- Hamman, M., 1999. "Structure as Performance: Cognitive Musicology and the Objectification of Procedure," in Otto Laske: Navigating New Musical Horizons, ed. J. Tabor. New York: Greenwood Press.
- Wallin, N. L. (1991): Biomusicology: Neurophysiological, Neuropsychological and Evolutionary Perspectives on the Origins and Purposes of Music, Stuyvesant, NY: Pendragon Press.
- Wallin, Nils L./Björn Merker/Steven Brown (1999): "An Introduction to Evolutionary Musicology." In: Wallin, Nils L./Björn Merker/Steven Brown (Eds., 1999): The Origins of Music, pp. 5–6. ISBN 0-262-23206-5.
- Platz, F.; Kopiez, R. (September 2012). "When the Eye Listens: A Meta-analysis of How Audio-visual Presentation Enhances the Appreciation of Music Performance". Music Perception 30 (1): 71–83. doi:10.1525/mp.2012.30.1.71.
- O'Neill, Susan; Sloboda, John. "Psychology of Music, Musical ability". Grove Music Online, Oxford Music Online. Oxford University Press. Retrieved 17 April 2014.
- "Dt. Gesellsch. f. Musikpsychologie" (in German). Retrieved 23 July 2012.
- "Journal of Mathematics and Music". Retrieved 6 April 2014.
- "Macquarie University; Music, Sound and Performance Lab". Retrieved 6 April 2014.
- "Melbourne University; Music, Music, Mind and Wellbeing Initiative". Retrieved 9 April 2014.
- "University of Western Sydney; The MARCS Institute". Retrieved 9 April 2014.
- "University of Graz; Centre for Systematic Musicology". Retrieved 6 April 2014.
- "University of Klagenfurt; Cognitive Psychology Unit". Retrieved 8 April 2014.
- "Ghent University; Institute for Psychoacoustics and Electronic Music". Retrieved 9 April 2014.
- "McGill University; CIRMMT". Retrieved 6 April 2014.
- "University of Toronto; MaHRC". Retrieved 6 April 2014.
- "Queens University; Music Cognition Lab". Retrieved 6 April 2014.
- "University of PEI; Auditory Perception and Music Cognition Research and Training Laboratory". Retrieved 6 April 2014.
- "Ryerson University; SMART Lab". Retrieved 6 April 2014.
- "McMaster University; MIMM". Retrieved 6 April 2014.
- "BRAMS - International Laboratory for Brain, Music, and Sound Research". Retrieved 6 April 2014.
- "University of Montreal; Centre for Research on Brain, Language and Music". Retrieved 6 April 2014.
- "University of Western Ontario; Music and Neuroscience Lab". Retrieved 9 April 2014.
- "University of Jyväskylä, Finnish Centre of Excellence in Interdisciplinary Music Research". Retrieved 9 April 2014.
- "Claude Bernard University Lyon 1; CAP,". Retrieved 9 April 2014.
- "HMTMH; Institute of Music Physiology and Musicians' Medicine". Retrieved 9 April 2014.
- "University of Amsterdam; Music Cognition Group". Retrieved 6 April 2014.
- "FC University of Music; Unit of Psychology of Music". Retrieved 6 April 2014.
- "Royal Institute of Technology, Speech, Music and Hearing". Retrieved 6 April 2014.
- "Cambridge University; Centre for Music and Science". Retrieved 6 April 2014.
- "Institute of Education; International Music Education Research Centre". Retrieved 6 April 2014.
- "Keele University; Centre for Psychological Research". Retrieved 6 April 2014.
- "University of Leeds; ICSRiM". Retrieved 6 April 2014.
- "University of Oxford; Psychology of Music". Retrieved 12 April 2014.
- "University of Roehampton; Applied Music Research Centre". Retrieved 6 April 2014.
- "University of Leicester; Social and Applied Psychology Group". Retrieved 6 April 2014.
- "Royal College of Music; Centre for Performance Science". Retrieved 6 April 2014.
- "Royal Northern College of Music; Centre for Music Performance Research". Retrieved 6 April 2014.
- "Sheffield University; Department of Music, Psychology of Music Research". Retrieved 6 April 2014.
- "University of Edinburgh; Music and the Human Sciences". Retrieved 6 April 2014.
- "Goldsmiths; Music, Mind and Brain". Retrieved 6 April 2014.
- "Stanford University; Center for Computer Research in Music and Acoustics". Retrieved 6 April 2014.
- "Ohio State University; Cognitive and Systematic Musicology Laboratory". Retrieved 8 April 2014.
- "University of Arkansas; Music Cognition Lab". Retrieved 6 April 2014.
- Palmer, Caroline & Melissa K. Jungers (2003): Music Cognition. In: Lynn Nadel: Encyclopedia of Cognitive Science, Vol. 3, London: Nature Publishing Group, pp. 155–158.
- Patel, Anirrudh D. (2010). Music, language, and the brain. New York: Oxford University Press.
- Day, Kingsley (October 21, 2004). "Music and the Mind: Turning the Cognition Key". Observer online.
- Jourdain, Robert (1997). Music, the Brain, and Ecstasy: How Music Captures Our Imagination. New York: William Morrow and Company. ISBN 0-688-14236-2.
- Honing, Henkjan (2011). "Musical Cognition. A Science of Listening." New Brunswick, N.J.: Transaction Publishers. ISBN 978-1-4128-4228-0.
- Levitin, D. J. (2006). "This Is Your Brain on Music: The Science of a Human Obsession." New York: Dutton. ISBN 0-525-94969-0
- Margulis, Elizabeth Hellmuth. (2013). ''On Repeat: How Music Plays the Mind. New York, NY: Oxford University Press. ISBN 978-0199990825.
- Purwins & Hardoon (2009). "Trends and Perspectives in Music Cognition Research and Technology." Connection Science. 21(2-3), 85-88.
- Snyder, Bob (2000). "Music and Memory: an introduction" The MIT Press. ISBN 0-262-69237-6.
- Deutsch, D. (Ed.) (1999). The Psychology of Music, 2nd Edition.San Diego: Academic Press. ISBN 0-12-213565-2.
- Dowling, W. Jay and Harwood, Dane L. (1986). Music Cognition. San Diego: Academic Press. ISBN 0-12-221430-7.
- Hallam, Cross, & Thaut, (eds.) (2008). The Oxford Handbook of Music Psychology. Oxford: Oxford University Press.
- Krumhansl, Carol L. (2001). Cognitive Foundations of Musical Pitch. Oxford: Oxford University Press. ISBN 0-19-514836-3.
- Parncutt, R. (1989). Harmony: A Psychoacoustical Approach. Berlin: Springer.
- Sloboda, John A. (1985). The Musical Mind: The Cognitive Psychology of Music. Oxford: Oxford University Press. ISBN 0-19-852128-6.
- Lerdahl, F. and Jackendoff, R. (21996) A Generative Theory of Tonal Music. The MIT Press. ISBN 978-0-262-62107-6.
- Jackendoff, Ray (1987): Consciousness and the Computational Mind. Cambridge: MIT Press. Chapter 11: Levels of Musical Structure, section 11.1: What is Musical Cognition?
- Temperley, D. (2004). The Cognition of Basic Musical Structures. The MIT Press. ISBN 978-0-262-70105-1.
- Thompson, W. F. (2009). Music, Thought, and Feeling: Understanding the Psychology of Music New York: Oxford University Press. ISBN 978-0-19-537707-1.
- Zbikowski, Lawrence M. (2004). Conceptualizing Music: Cognitive Structure, Theory, and Analysis. Oxford University Press, USA. ISBN 978-0-19-514023-1.
- North, A.C. & Hargreaves, D.J. (2008). The Social and Applied Psychology of Music. Oxford: Oxford University Press. ISBN 978-0-19-856742-4.
- Cross, Ian (1998). "Music Analysis and Music Perception". Music Analysis 17: 1.
- Gur, Golan (2008). "Body, Forces, and Paths: Metaphor and Embodiment in Jean-Philippe Rameau's Conceptualization of Tonal Space". Music Theory Online 14: 1.
- Honing, Henkjan (2006). "Computational modeling of music cognition: A case study on model selection". Music Perception 23 (5): 365–376.
- Henkjan, Honing (2012). "Without it no music: Beat induction as a fundamental musical trait". Annals of the New York Academy of Sciences 1252: 85–91. doi:10.1111/j.1749-6632.2011.06402.x.
- Huron, David (1999). "Music and Mind: The foundation of cognitive musicology (The 1999 Ernst Bloch Lectures)" "Berkeley, University of California Press"
- Purwins, Herrera; Grachten, Hazan; Marxer, Serra (2008). "Computational Models of Music Perception and Cognition I: The Perceptual and Cognitive Processing Chain". Physics of Life Reviews 5 (3): 151–182.
- Deutsch, D. (2010). "Hearing music in ensembles". Physics Today.
- MusicCognition.info - A Resource and Information Center
- Society for Music Perception and Cognition (SMPC)
- European Society for the Cognitive Sciences of Music (ESCOM)