Cognitive function, origin, and evolution of musical emotions

Musicae Scientiae

Volumn 16, Issue 2, 2012, Pages 185-199

  Perlovsky, Leonid ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

cognition; cognitive dissonances; culture; emotions; evolution; knowledge instinct; language prosody; music

Indexed keywords

EID: 84863539813     PISSN: 10298649     EISSN: None     Source Type: Journal    
DOI: 10.1177/1029864912448327     Document Type: Article

References (103)

1. Akerlof G. A.,Dickens W. T.Explorations in pragmatic economics. New York, NY: Oxford University Press; 2005:.
2. The complete works. Barnes J., ed. Princeton, NJ: Princeton Univ. Press; 1995:.
3. Armstrong J.In search of civilization: Remaking a tarnished idea. New York, NY: Graywolf Press; 2011:.
4. Balaskó M.,Cabanac M.Grammatical choice and affective experience in a second-language test.Neuropsychobiology. 1998;37:205-210.
5. Bar M.,Kassam K. S.,Ghuman A. S.,Boshyan J.,Schmid A. M.,Dale, et al.Top-down facilitation of visual recognition. USA:.Proceedings of the National Academy of Sciences. 2006;103:449-454.
6. Bauer S. W.New York, NY: W. W. Norton, & Company; 2007:.
7. Berlyne D. E.Aesthetics and psychobiology. New York, NY: Appleton-Century-Crofts; 1971:.
8. Bruno N.,Bernardis P.,Gentilucci M.Visually guided pointing, the Müller-Lyer illusion, and the functional interpretation of the dorsal-ventral split: Conclusions from 33 independent studies.Neuroscience, & Biobehavioral Reviews. 2008;32 (3): 423-437.
9. Cabanac M.What is emotion?.Behavioural Processes. 2002;60:69-84.
10. Cabanac M.,Fontanari F.,Bonniot-Cabanac M.-C.,Perlovsky L. I.Emotions of cognitive dissonance.IEEE proceedings IJCNN 2011. 2011;:.
11. Cangelosi A.,Greco A.,Harnad S.From robotic toil to symbolic theft: grounding transfer from entry-level to higher-level categories.Connection Science. 2000;12:143-162.
12. Simulating the evolution of language. Cangelosi A.Parisi D., ed. London, UK: Springer; 2002:.
13. Analects. Hong Kong, China: The Chinese University Press; 2000:.
14. CrossI. (2008a). The evolutionary nature of musical meaning. Musicae Scientiae, 12, 179-200. http://www.mus.cam.ac.uk/%7Eic108/PDF/IRMC_MS07_1.pdf.
15. Cross I.Musicality and the human capacity for culture.Musicae Scientiae. 2008b;12:147-167.
16. Cross I.,Morley I.Communicative musicality. Malloch S.Trevarthen C., ed. Oxford, UK: Oxford University Press; 2008:61-82.
17. Darwin C. R.The descent of man, and selection in relation to sex. London, UK: John Murray; 1871:.
18. Davis P. J.,Zhang S. P.,Winkworth A.,Bandler R.Neural control of vocalization: Respiratory and emotional influences.Journal of Voice. 1996;10:23-38.
19. Deacon T.The neural circuitry underlying primate calls and human language.Human Evolution Journal. 1989;4 (5): 367-401.
20. Diamond J.Guns, germs, and steel: The fates of human societies. New York, NY: W. W. Norton, & Co; 1997:.
21. Dissanayake E.If music is the food of love, what about survival and reproductive success?.Musicae Scientiae. 2008;12:169-195.
22. Bountiful noise.Nature. 2008;453:134.
23. Festinger L.A theory of cognitive dissonance. Stanford, CA: Stanford University Press; 1957:.
24. Fitch W. T.On the biology and evolution of music.Music Perception. 2004;24:85-88.
25. Fontanari J. F.,Perlovsky L. I.Evolving compositionality in evolutionary language games.IEEE Transactions on Evolutionary Computations. 2007;11 (6): 758-769.
26. Fontanari J. F.,Perlovsky L. I.How language can help discrimination in the Neural Modeling Fields framework.Neural Networks. 2008a;21 (2-3): 250-256.
27. Fontanari J. F.,Perlovsky L. I.A game theoretical approach to the evolution of structured communication codes.Theory in Biosciences. 2008b;127:205-214.
28. Fontanari F. J.,Tikhanoff V.,Cangelosi A.,Ilin R.,Perlovsky L. I.Cross-situational learning of object-word mapping using Neural Modeling Fields.Neural Networks. 2009;22 (5-6): 579-585.
29. Frith U.,Frith C.The social brain: Allowing humans to boldly go where no other species has been.Philosophical Transactions of the Royal Society B-Biological Sciences. 2010;365 (1537): 165-175.
30. Frijda N. H.The emotions. Cambridge, UK: Cambridge University Press; 1986:.
31. Grossberg S.,Levine D.Neural dynamics of attentionally modulated Pavlovian conditioning: Blocking, interstimulus interval, and secondary reinforcement.Applied Optics. 1987;26:5015-5030.
32. Guttfreund D. G.Effects of language usage on the emotional experience of Spanish-English and English-Spanish bilinguals.Journal of Consulting and Clinical Psychology. 1990;58 (5): 604-607.
33. Huron D.Ernest Bloch Lectures. Berkeley, CA: University of California Press; 1999:.
34. Ilin R.,Perlovsky L.Cognitively inspired neural network for recognition of situations.International Journal of Natural Computing Research. 2010;1 (1): 36-55.
35. Jaynes J.The origin of consciousness in the breakdown of the bicameral mind. Boston, MA: Houghton Mifflin Co; 1976:.
36. Jung C. G.Psychological types Collected works. Princeton, NJ: Princeton University Press; 1921:.
37. Juslin P. N.,Sloboda J. A.Music and emotion: Theory and research. Oxford, UK: Oxford University Press; 2001:.
38. Juslin P. N.,Västfjäll D.Emotional responses to music: The need to consider underlying mechanisms.Behavioral and Brain Sciences. 2008;31:597-598.
39. Justus T.,Hutsler J. J.Fundamental issues in the evolutionary psychology of music: Assessing innateness and domain specificity.Music Perception. 2005;23:1-27.
40. Kant I.The critique of judgment. Amherst, NY: Prometheus Books; 1790:.
41. Langer S.Philosophy in a new key. Cambridge, MA: Harvard University Press; 1942:.
42. Tao Te Ching. New York, NY: Penguin Books; 1979:.
43. LeDoux J.The emotional brain: The mysterious underpinnings of emotional life. London, UK: Weidenfeld & Nicholson; 1998:.
44. Levine D. S.,Perlovsky L. I.Neuroscientific insights on Biblical myths. Simplifying heuristics versus careful thinking: Scientific analysis of millennial spiritual issues.Zygon, Journal of Science and Religion. 2008;43 (4): 797-821.
45. Levine D. S.,Perlovsky L. I.Emotion in the pursuit of understanding.International Journal of Synthetic Emotions. 2010;1 (2): 1-11.
46. Levitin D. J.The world in six songs. London, UK: Dutton; 2008:.
47. Lorenz K.The foundations of ethology. New York, NY: Springer-Verlag; 1981:.
48. Luther M.Music in the western world. Weiss P.Taruskin R., ed. New York, NY: Schirmer, Macmillan; 1538 1984:102.
49. Masataka N.The origins of language and the evolution of music: A comparative perspective.Physics of Life Reviews. 2008;6 (2009): 11-22.
50. Masataka N.,Perlovsky L. I.Music can reduce cognitive dissonance.Nature Precedings. 2012;:.
51. Sapient systems. Mayorga R.Perlovsky L. I., ed. London, UK: Springer; 2008:.
52. Mayer J. D.,Salovey P.,Caruso D. R.Emotional intelligence: New ability or eclectic traits?.American Psychologist. 2008;63 (6): 503-517.
53. McDermott J.,Houser M.The origins of music: Innateness, uniqueness, and evolution.Music Perception. 2005;23:29-59.
54. McDermott J.The evolution of music.Nature. 2008;453:287-288.
55. Meyer R. K.,Palmer C.,Mazo M.Affective and coherence responses to Russian laments.Music Perception. 1998;16 (1): 135-150.
56. Mithen S.The singing Neanderthals: The origins of music, language, mind, and body. Cambridge MA: Harvard University Press; 2007:.
57. Nietzsche F.Untimely Meditations. Cambridge, England: Cambridge University Press; 1876/1997:.
58. Nowicki S.,Peters S.,Podos J.Song learning, early nutrition and sexual selection in songbirds.American Zoologist. 1998;38 (1): 179-190.
59. Owren M. J.,Rendall D.,Ryan M. J.Redefining animal signaling: Influence versus information in communication.Biology, & Philosophy. 2010;25 (5): 755-780.
60. Panksepp J.,Bernatzky G.Emotional sounds and the brain: The neuro-affective foundations of musical appreciation.Behavioural Processes. 2002;60:133-155.
61. Perlovsky L. I.Multiple sensor fusion and neural networks.DARPA Neural Network Study. 1987 1987;:.
62. Perlovsky L. I.A model based neural network for transient signal processing.Neural Networks. 1994;7 (3): 565-572.
63. Perlovsky L. I.Physical Concepts of Intellect.Proceedings of Russian Academy of Sciences. 1997;354 (3): 320-323.
64. Perlovsky L. I.Conundrum of Combinatorial Complexity.IEEE Trans. PAMI. 1998;20 (6): 666-670.
65. Perlovsky L. I.Beauty and mathematical intellect.Zvezda. 2000;2000 (9): 190-201.
66. Perlovsky L. I.Neural networks and intellect. New York, NY: Oxford Univ. Press; 2001a:.
67. Perlovsky L. I.Mystery of sublime and mathematics of intelligence.Zvezda. 2001b;2001 (8): 174-190.
68. Perlovsky L. I.Physical theory of information processing in the mind: Concepts and emotions.SEED On Line Journal. 2002a;2 (2): 36-54.
69. Perlovsky L. I.Aesthetics and mathematical theory of intellect: Russian academy of sciences, Moscow:.Iskusstvoznanie, Journal of History and Theory of Art. 2002b;2:558-594.
70. Perlovsky L. I.Integrating Language and Cognition.IEEE Connections. 2004;2 (2): 8-12.
71. Perlovsky L.I.Toward physics of the mind: Concepts, emotions, consciousness, and symbols.Physics of Life Reviews. 2006a;3 (1): 22-55.
72. PerlovskyL. I. (2006b). Music - the first principles. Musical Theater, http://www.ceo.spb.ru/libretto/kon_lan/ogl.shtml.
73. Perlovsky L. I.Evolution of languages, consciousness, and cultures.IEEE Computational Intelligence Magazine. 2007a;2 (3): 25-39.
74. Perlovsky L. I.Artificial cognition systems. Loula A.Gudwin R.Queiroz J., ed. Hershey, PA: Idea Group; 2007b:64-105.
75. Perlovsky L. I.Semiotics and intelligent systems development. Gudwin R.Queiroz J., ed. Hershey, PA: Idea Group; 2007c:121-151.
76. Perlovsky L.I.Neurodynamics of higher-level cognition and consciousness. Perlovsky L. I.Kozma R., ed. Heidelberg, Germany: Springer-Verlag; 2007d:.
77. Perlovsky L. I.Music and consciousness.Leonardo, Journal of Arts, Sciences and Technology. 2008;41 (4): 420-421.
78. Perlovsky L. I.Language and cognition.Neural Networks. 2009a;22 (3): 247-257.
79. Perlovsky L. I.Language and emotions: Emotional Sapir-Whorf hypothesis.Neural Networks. 2009b;22 (5-6): 518-526.
80. Perlovsky L. I.'Vague-to-Crisp' neural mechanism of perception.IEEE Trans. Neural Networks. 2009c;20 (8): 1363-1367.
81. Perlovsky L. I.Musical emotions: Functions, origins, evolution.Physics of Life Reviews. 2010a;7 (1): 2-27.
82. Perlovsky L. I.Intersections of mathematical, cognitive, and aesthetic theories of mind.Psychology of Aesthetics, Creativity, and the Arts. 2010b;4 (1): 11-17.
83. Perlovsky L. I.Neural mechanisms of the mind, Aristotle, Zadeh, & fMRI.IEEE Trans. Neural Networks. 2010c;21 (5): 718-733.
84. PerlovskyL. I. (2010d). Joint acquisition of language and cognition; WebmedCentral BRAIN, 1(10):WMC00994; http://www.webmedcentral.com/article_view/994.
85. Perlovsky L. I.Beauty and art: Cognitive function, evolution, and mathematical models of the mind.WebmedCentral PSYCHOLOGY. 2010e;1 (12): WMC001322.
86. Perlovsky L. I.The mind is not a kludge.Skeptic. 2010f;15 (3): 50-55.
87. Perlovsky L. I.,Bonniot-Cabanac M.-C.,Cabanac M.Curiosity and pleasure.WebmedCentral PSYCHOLOGY. 2010;1 (12): WMC001275.
88. Perlovsky L. I.,Goldwag A.The grammatical roots of Jihadism: how cognitive science can help us understand the war on terror.WebmedCentral PSYCHOLOGY. 2011;2 (2): WMC001581.
89. PerlovskyL. I.IlinR. (2010). Neurally and mathematically motivated architecture for language and thought. In Brain and language architectures: Where we are now?, [special issue] The Open Neuroimaging Journal, 4, 70-80. http://www.bentham.org/open/tonij/openaccess2.htm.
90. Neurodynamics of cognition and consciousness. Perlovsky L. I.Kozma R., ed. Heidelberg, Germany: Springer-Verlag; 2007a:.
91. Perlovsky L. I.,Mayorga R.Sapient Systems. Mayorga R.Perlovsky L. I., ed. London: Springer; 2008:.
92. Perlovsky L. I.,McManus M. M.Maximum likelihood neural networks for sensor fusion and adaptive classification.Neural Networks. 1991;4 (1): 89-102.
93. Pulvermüller F.,Fadiga L.Active perception: Sensorimotor circuits as a cortical basis for language.Nature Reviews Neuroscience. 2010;11 (5): 351-360.
94. Sander D.,Grafman J.,Zalla T.The human amygdala: An evolved system for relevance detection.Reviews in the Neurosciences. 2003;14 (4): 303-316.
95. Seyfarth R. M.,Cheney D. L.Meaning and emotion in animal vocalizations.Annals of the New York Academy of Sciences, Dec. 2003;:32-55.
96. Számadó S.,Szathmáry E.Selective scenarios for the emergence of natural language.Trends in Ecology and Evolution. 2006;21 (10): 555-561.
97. Sloboda J. A.,Juslin P. N.Music and emotion: Theory and research. Juslin P. N.Sloboda J. A., ed. Oxford, UK: Oxford University Press; 2001:71-104.
98. Sperber D.Explaining culture. Oxford, UK: Blackwell; 1996:.
99. Spinoza B.Ethics. New York, NY: Penguin; 2005:.
100. Tversky A.,Kahneman D.Judgment under uncertainty: Heuristics and biases.Science. 1974;185:1124-1131.
101. Trainor L.The neural roots of music.Nature. 2008;453 (29): 598-599.
102. Trehub S. E.The developmental origins of musicality.Nature Neuroscience. 2003;6 (7): 669-673.
103. Weiss P.,Taruskin R.New York, NY: Schirmer, Macmillan; 1984:.