Embodied Meter: Hierarchical Eigenmodes in Music-Induced Movement

By Petri Toiviainen, Geoff Luck, Marc R. Thompson. 2010

257 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Social Psychology

View Paper: https://www.semanticscholar.org/paper/f3090007166fdc8ea975962abaf5c75804b5e604

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. John R. Iversen
2. Aniruddh D. Patel
3. Marc Leman
4. Pieter-Jan Maes
5. Carol Krumhansl
6. B. Johansson
7. Dwayne Engh

In Computer Vision and Pattern Recognition

1. Aniruddh D. Patel
2. Marc Leman
3. John R. Iversen

In Social Psychology

1. Aniruddh D. Patel
2. Marc Leman
3. Pieter-Jan Maes
4. John R. Iversen

Citations in the corpus

• The evolutionary neuroscience of musical beat perception: the Action Simulation for Auditory Prediction (ASAP) hypothesis (2013, background): “…may make predictions about beat timing at different hierarchical timescales by associating different timescales with simulations of periodic movement in different motor effectors (e.g., with hand/arm movements at twice the rate of simultaneous step-like movements, cf. Toiviainen et al., 2010).”
• The Role of Embodiment in the Perception of Music (2015, background): “Hence, the human body can reflect different frequencies present in the musical structure (see also Toiviainen et al., 2010).”