Abstract
The online control mechanisms of human goal-directed movements include two functions: predicting sensory feedback resulting from motor commands (forward transformation) and generating motor commands based on sensory inputs (inverse transformation). Infants acquire these transformations without implicit instructions from caregivers. In this paper, a neural network model is proposed that learns the forward and inverse transformations in reaching movement by observing the randomly moving hand. The forward pathway of the model is a Jordan network that is input with motor commands, and that is trained to output a visual hand position. The inverse pathway has the input of the visual hand position and a connection from the hidden layer of the forward pathway. It is trained to output the motor command, which makes the hand move to the input hand position. The network learned correct transformations, which suggests that continuous observation of the hand is the basis for motor development.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Todorov, E., Jordan, M.I.: Optimal feedback control as a theory of motor coordination. Nat. Neurosci. 5 (2002) 1225–1235.
Witherington, D.C.: The development of prospective grasping control between 5 and 7 months: A longitudinal study. Infancy 7 (2005) 143–161.
van der Meer, A.L.H., van der Weel, F.R., Lee, D.N.: The functional significance of arm movements in neonates. Science 267 (1995) 693–695.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this paper
Cite this paper
Takemura, N., Inui, T. (2011). A Developmental Model of Infant Reaching Movement: Acquisition of Internal Visuomotor Transformations. In: Wang, R., Gu, F. (eds) Advances in Cognitive Neurodynamics (II). Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9695-1_21
Download citation
DOI: https://doi.org/10.1007/978-90-481-9695-1_21
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-9694-4
Online ISBN: 978-90-481-9695-1
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)