Abstract
In cortical representations action perception and action execution are closely linked, as indicated by the presence of mirror neurons. Experiments show that concurrent action execution and action perception influence each other. We have developed a physiologically-inspired neural model that accounts for the neural encoding of perceived actions and motor plans, and their interactions. The core of the model is a set of coupled neural fields that represent either perceived actions or motor programs. We demonstrate that this model reproduces the results of a variety of quite different experiments investigating the interaction between action perception and execution. It also predicts the emergence and stability of synchronized coordinated behavior of two individuals that observe each other during action execution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Prinz, W.: Perception and action planning. Eur. J. Cogn. Psychol. 9, 129–154 (1997)
Rizzolatti, G., Fogassi, L., Gallese, V.: Neurophysiological mechanisms underlying the understanding and imitation of action. Nat. Rev. Neurosci. 2, 661–670 (2001)
Giese, M.A., Rizzolatti, G.: Neural and computational mechanisms of action processing: Interaction between visual and motor representations. Neuron 88, 167–180 (2015)
Kilner, J.M., Paulignan, Y., Blakemore, S.J.: An interference effect of observed biological movement on action. Curr. Biol. 13, 522–525 (2003)
Calvo-Merino, B., Grèzes, J., Glaser, D.E., Passingham, R.E., Haggard, P.: Seeing or doing? Influence of visual and motor familiarity in action observation. Curr. Biol. 16, 1905–1910 (2006)
Christensen, A., Ilg, W., Giese, M.A.: Spatiotemporal tuning of the facilitation of biological motion perception by concurrent motor execution. J. Neurosci. 31, 3493–3499 (2011)
Barraclough, N.E., Keith, R.H., Xiao, D., Oram, M.W., Perrett, D.I.: Visual adaptation to Goal-directed hand actions. J. Cogn. Neurosci. 21, 1805–1819 (2009)
Caggiano, V., Fleischer, F., Pomper, J.K., Giese, M.A., Thier, P.: Mirror neurons in monkey premotor area F5 show tuning for critical features of visual causality perception. Curr. Biol. 26, 3077–3082 (2016)
Giese, M.A., Poggio, T.: Neural mechanisms for the recognition of biological movements. Nat. Rev. Neurosci. 4, 179–192 (2003)
Jhuang, H., Serre, T., Wolf, L., Poggio, T.: A biologically inspired system for action recognition. In: IEEE International Conference on Computer Vision, vol. 1, pp. 1–8 (2007)
Chersi, F., Ferrari, P.F., Fogassi, L.: Neuronal chains for actions in the parietal lobe: a computational model. PLoS ONE 6, e27652 (2011)
Hommel, B., Müsseler, J., Aschersleben, G., Prinz, W.: Codes and their vicissitudes. Behav. Brain Sci. 24, 910–926 (2001)
Wolpert, D.M., Doya, K., Kawato, M.: A unifying computational framework for motor control and social interaction. Philos. Trans. Royal Soc. London B Biol. Sci. 358, 593–602 (2003)
Kilner, J.M., Friston, K.J., Frith, C.D.: The mirror-neuron system: a Bayesian perspective. Neuroreport 18, 619–623 (2007)
Erlhagen, W., Bicho, E.: The dynamic neural field approach to cognitive robotics. J. Neural Eng. 3, R36 (2006)
Cisek, P., Kalaska, J.F.: Neural mechanisms for interacting with a world full of action choices. Annu. Rev. Neurosci. 33, 269–298 (2010)
Fleischer, F., Caggiano, V., Thier, P., Giese, M.A.: Physiologically inspired model for the Visual recognition of transitive hand actions. J. Neurosci. 33, 6563–6580 (2013)
Amari, S.: Dynamics of pattern formation in lateral-inhibition type neural fields. Biol. Cybern. 27, 77–87 (1977)
Zhang, K.: Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory. J. Neurosci. 16, 2112–2126 (1996)
Schmidt, R.C., Carello, C., Turvey, M.T.: Phase transitions and critical fluctuations in the visual coordination of rhythmic movements between people. J. Exp. Psychol. Hum. Percept. Perform. 16, 227–247 (1990)
Acknowledgments
We thank A. Christensen for helpful comments. Funded by EC, HBP FP7-ICT-2013-FET-F/ 604102, HFSP RGP0036/2016, German Federal Ministry of Education and Research: BMBF, FKZ: 01GQ1002A; Deutsche Forschungsgemeinschaft: DFG GI 305/4-1, DFG GZ: KA 1258/15-1.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Hovaidi-Ardestani, M., Caggiano, V., Giese, M. (2017). Neurodynamical Model for the Coupling of Action Perception and Execution. In: Lintas, A., Rovetta, S., Verschure, P., Villa, A. (eds) Artificial Neural Networks and Machine Learning – ICANN 2017. ICANN 2017. Lecture Notes in Computer Science(), vol 10613. Springer, Cham. https://doi.org/10.1007/978-3-319-68600-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-68600-4_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-68599-1
Online ISBN: 978-3-319-68600-4
eBook Packages: Computer ScienceComputer Science (R0)