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title: WS23/24 Literatur zu "Aktuelle Tendenzen"

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# References zu WS23/24 "Aktuelle Forschungspositionen und Tendenzen"

## [=> zurück zum Seminar ](https://hackmd.io/8nq0dEWuROuXLrL2Q2PjRw)
## 1. Lehrbücher
- Bischof, Norbert (2014). Psychologie: ein Grundkurs für Anspruchsvolle. 3. Auflage. Stuttgart: Kohlhammer
- Bermúdez, J. L. (2022). Cognitive Science: An Introduction to the Science of the Mind. Fourth Edition. Cambridge: Cambridge University Press.
- Thagard, P. (2005). Mind: Introduction to Cognitive Science, second Edition. Cambridge, MA: The MIT Press.
- Thompson, William Forde (2015). Chapter 2: Origins of Music (pp. 17–44). In: Idem, Music, Thought, and Feeling: Understanding the Psychology of Music. 2nd Edition. Oxford: Oxford University Press
- Ward, J. (2017). Chapter 3 “Evolutionary origins of social intelligence and culture. In The Student’s Guide to Social Neuroscience. Second Edition (pp. 69–97). London: Routledge

## 2. Anthologien
- Arbib, M. A. (Ed.) (2013). Language, Music, and the Brain: A Mysterious Relationship. Cambridge, MA: The MIT Press.
- Honing, Henkjan (ed.) (2018). The origins of Musicality: Interdisciplinary perspectives on the capacity to perceive, appreciate and make music. Cambridge, MA: The MIT Pres
- Rebuschat, P., Rohrmeier, M., Hawkins, J. A., & Cross, I. (Eds.). (2012). Language and Music as Cognitive Systems. Oxford: Oxford University Press
- Margulis, E. H., Loui, P., & Loughridge, D. (Eds.). (2023). The science-music borderlands : reckoning with the past and imagining the future. Cambridge, MA: The MIT Press.

## 3. Forschungsliteratur
- Gintis, H. (2011). Gene–culture coevolution and the nature of human sociality. Philosophical Transaction of the Royal Society B, 366, 878–888.
- Mehr, S. A., Krasnow, M. M., Bryant, G. A., & Hagen, E. H. (2021). Origins of music in credible signaling. Behavioral and Brain Sciences, 44, e60. doi:10.1017/S0140525X20000345
- Proksch, S., Comstock, D. C., Médé, B., Pabst, A., & Balasubramaniam, R. (2020). Motor and Predictive Processes in Auditory Beat and Rhythm Perception. Frontiers in Human Neuroscience, 14(375). doi:10.3389/fnhum.2020.578546
- Savage, P. E., Loui, P., Tarr, B., Schachner, A., Glowacki, L., Mithen, S., & Fitch, W. T. (2021). Music as a coevolved system for social bonding. Behavioral and Brain Sciences, 44, e59. doi:10.1017/S0140525X20000333; Retrieved from https://doi.org/10.31234/osf.io/qp3st
- Shilton, D. (2022). Sweet Participation: The Evolution of Music as an Interactive Technology. Music & Science, 5, 20592043221084710. doi:10.1177/20592043221084710
- Seifert, U. (2020). Relating the evolution of Music-Readiness and Language-Readiness within the context of comparative neuroprimatology. In M. A. Arbib (Ed.), How the Brain Got Language: Towards a New Road Map (pp. 86–101). Amsterdam: Benjamins.
- Seifert, U. (2015). Das Form-Inhaltsproblem der Musik und musikwissenschaftliche Grundlagenforschung – Das Forschungsprogramm der Kölner Kognitiven Musikwissenschaft. In A. Bense, M. Gieseking, & B. Müßgen (Eds.), Musik im Spektrum technologisdcher Entwicklungen und Neuer Medien – Festschrift für Bernd Enders (pp. 141–165). Osnabrück: EPOS.
- Seifert, U. (2011). Investigating the Musical Mind: Situated Cognition, Human-Robot Interaction Design, and Cognitive Musicology. Trans-Humanities, 4(1), 149–162. doi:10.1353/trh.2011.0006.
- Seifert, U. (1991). Cognitive Science: A New Research Paradigm for Musicology. Interface, 21(3–4), 219–238.

## 4. Readings
- Patel, A. D. (2023). Human musicality and gene-culture coevolution: Ten concepts to guide productive exploration. In E. H. Margulis, D. Loughridge, & P. Loui (Eds.), The Science-Music Borderlands: Reckoning with the Past, Imagining the Future. Cambridge, MA: The MIT Press.
- Savage, P. E., Loui, P., Tarr, B., Schachner, A., Glowacki, L., Mithen, S., & Fitch, W. T. (2021). Music as a coevolved system for social bonding. Behavioral and Brain Sciences, 44, e59.
- Seifert, U. (2020). Relating the evolution of Music-Readiness and Language-Readiness within the context of comparative neuroprimatology. In M. A. Arbib (Ed.), How the Brain Got Language: Towards a New Road Map (pp. 86–101). Amsterdam: Benjamins.
- Mehr, S. A., Krasnow, M. M., Bryant, G. A., & Hagen, E. H. (2021). Origins of music in credible signaling. Behavioral and Brain Sciences, 44, e60. doi:10.1017/S0140525X20000345
- Popescu, T. & Fitch, W. T. (2020). Dynamic hierarchical cognition: Music and language demand further types of abstracta (pp.42–43). In Gilead, M., Trope, Y., & Liberman, N. (2020). Above and beyond the concrete: The diverse representational substrates of the predictive brain. Behavioral and Brain Sciences, 43, e121. doi:10.1017/S0140525X19002000
- Thagard, P. (2023). Cognitive Science. In E. N. Zalta (Ed.), The Stanford Encyclopedia of Phliosophy. Stanford: The Metaphysics Research Lab, Center for the Study of Language and Information (CSLI), Stanford University 2023
- van der Schyff, D., Schiavio, A., & Elliott, D. J. (2022). Chapter 7 “The Evolution of the Musical Mind”. In D. van der Schyff, A. Schiavio, & D. J. Elliott (Eds.), Musical Bodies, Musical Minds: Enactive Cognitive Science and the Meaning of Human Musicality (pp. 131–154). Cambridge, MA: The MIT Press.
- Juslin, P. N., & Sakka, L. N. (2019). Neural Correlates of Music and Emotion. In M. H. Thaut & D. A. Hodges (Eds.), The Oxford Handbook of Music and the Brain. Oxford: Oxford University Press.
- Heyes, C., & Catmur, C. (2022). What Happened to Mirror Neurons? Perspectives on Psychological Science, 17(1), 153-168. doi:10.1177/1745691621990638
- Bonini, L., Rotunno, C., Arcuri, E., & Gallese, V. (2022). Mirror neurons 30 years later: implications and applications. Trends in Cognitive Sciences, 26(9), 767-781. doi:10.1016/j.tics.2022.06.003


## 5. Literatur zu W. Tecumseh Fitch's Presentation "How to Study Language Evolution" (ELLE 2022)(references)
- Jiang, X., Long, T., Cao, W., Li, J., Dehaene, S., & Wang, L. (2018). Production of Supra-regular Spatial Sequences by Macaque Monkeys. Current Biology, 28(12), 1851-1859.e1854. doi:10.1016/j.cub.2018.04.047
- Uddén, J., Martins, M. d. J. D., Zuidema, W., & Fitch, W. T. (2020). Hierarchical Structure in Sequence Processing: How to Measure It and Determine Its Neural Implementation. Topics in Cognitive Science, 12, 910–924. doi:10.1111/tops.12442
- Popescu, T., & Fitch, W. T. (2020). Dynamic hierarchical cognition: Music and language demand further types of abstracta. Behavioral and Brain Sciences, 43, e143. doi:10.1017/S0140525X1900308X
- Haiduk, F., & Fitch, W. T. (2022). Understanding Design Features of Music and Language: The Choric/Dialogic Distinction. Frontiers in Psychology, 13. doi:10.3389/fpsyg.2022.786899
- Fitch, W. T. (2018). Four principles of bio-musicology. In H. Honing (Ed.), The Origins of Musicality: Interdisciplinary perspectives on the capacity to perceive, appreciate, and make music. Cambridge, MA: The MIT Press.r
- Fitch, W. T., & Friederici, A. D. (2012). Artificial grammar learning meets formal language theory: an overview. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1598), 1933-1955. doi:doi:10.1098/rstb.2012.0103
- Fitch, W. T. (2010). The Evolution of Language. Cambridge: Cambridge University Press.
- Hauser, M. D., Chomsky, N., & Fitch, W. T. (2002). The Faculty of Language: What Is It, Who Has It, and How Did It Evolve? Science, 298, 1569–1579.
- Zuidema, W., French, R. M., Alhama, R. G., Ellis, K., O'Donnell, T. J., Sainburg, T., & Gentner, T. Q. (2020). Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. Topics in Cognitive Science, 12(3), 925-941. doi:10.1111/tops.12474
- Zuidema, W., Hupkes, D., Wiggin, G. A., Scharff, C., & Rohrmeier, M. (2018). Formal models of structure building in music, language and animal song. In H. Honing (Ed.), The Origins of Musicality (pp. 253). Cambridge, MA: The MIT Press.
- Rohrmeier, M., & Pearce, M. T. (2018). Musical Syntax I: Theoretical Perspectives. In R. Bader (Ed.), Springer Handbook of Systematic Musicology (pp. 473–486). Cham: Springer.


