Abstract
Looking is one of the most basic and fundamental goal-directed behaviors. The neural circuitry that generates gaze shifts towards target objects is adaptive and compensates for changes in the sensorimotor plant. Here, we present a neural-dynamic architecture, which enables an embodied agent to direct its gaze towards salient objects in its environment. The sensorimotor mapping, which is needed to accurately plan the gaze shifts, is initially learned and is constantly updated by a gain adaptation mechanism. We implemented the architecture in a simulated robotic agent and demonstrated autonomous map learning and adaptation in an embodied setting.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amari, S.: Dynamics of pattern formation in lateral-inhibition type neural fields. Biological Cybernetics 27, 77–87 (1977)
Dean, P., Mayhew, J.E., Langdon, P.: Learning and maintaining saccadic accuracy: A model of brainstem-cerebellar interactions. Journal of Cognitive Neuroscience 6(2), 38–117 (1994)
Gancarz, G., Grossberg, S.: A neural model of saccadic eye movement control explains task-specific adaptation. Vision Research 39(18), 43–3123 (1999)
Girard, B., Berthoz, A.: From brainstem to cortex: computational models of saccade generation circuitry. Progress in Neurobiology 77(4), 215–251 (2005)
Grossberg, S.: Nonlinear neural networks: Principles, mechanisms, and architectures. Neural Networks 1, 17–61 (1988)
Hopp, J.J., Fuchs, A.F.: The characteristics and neuronal substrate of saccadic eye movement plasticity. Progress in Neurobiology 72(1), 27–53 (2004)
Kopecz, K., Schöner, G.: Saccadic motor planning by integrating visual information and pre-information on neural dynamic fields. Biological Cybernetics 60, 49–60 (1995)
Optican, L.M., Quaia, C.: Distributed model of collicular and cerebellar function during saccades. Annals of the New York Academy of Sciences 956(1), 164–177 (2002)
Panouillères, M., Habchi, O., Gerardin, P., Salemme, R., Urquizar, C., Farne, A., Pélisson, D.: A Role for the Parietal Cortex in Sensorimotor Adaptation of Saccades. Cerebral Cortex (2012)
Pélisson, D., Alahyane, N., Panouillères, M., Tilikete, C.: Sensorimotor adaptation of saccadic eye movements. Neurosci. Biobehav. Rev. 34(8), 1103–1120 (2010)
Quaia, C., Lefèvre, P., Optican, L.M.: Model of the control of saccades by superior colliculus and cerebellum. Journal of Neurophysiology 82(2), 999–1018 (1999)
Reuschel, J., Rösler, F., Henriques, D.Y.P., Fiehler, K.: Spatial updating depends on gaze direction even after loss of vision. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience 32(7), 9–2422 (2012)
Sandamirskaya, Y., Zibner, S.K.U., Schneegans, S., Schöner, G.: Using Dynamic Field Theory to extend the embodiment stance toward higher cognition. New Ideas in Psychology 31(3), 322–339 (2013)
Schöner, G.: Dynamical Systems Approaches to Cognition. Dynamical Systems (2008)
Schweighofer, N., Arbib, M.A., Dominey, P.F.: A model of the cerebellum in adaptive control of saccadic gain. Biological Cybernetics 75(1), 19–28 (1996)
Sparks, D.L.: Conceptual issues related to the role of the superior colliculus in the control of gaze. Current Opinion in Neurobiology 9(6), 698–707 (1999)
Srimal, R., Diedrichsen, J., Ryklin, E.B., Curtis, C.E.: Obligatory adaptation of saccade gains. Journal of Neurophysiology 99(3), 8–1554 (2008)
Trappenberg, T.P., Dorris, M.C., Munoz, D.P., Klein, R.M.: A model of saccade initiation based on the competitive integration of exogenous and endogenous signals in the superior colliculus. Journal of Cognitive Neuroscience 13(2), 71–256 (2001)
Wallman, J., Fuchs, A.F.: Saccadic gain modification: Visual error drives motor adaptation. Journal of Neurophysiology 80(5), 2405–2416 (1998)
Wilimzig, C., Schneider, S., Schöner, G.: The time course of saccadic decision making: dynamic field theory. Neural networks: The official Journal of the International Neural Network Society 19(8), 74–1059 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Bell, C., Storck, T., Sandamirskaya, Y. (2014). Learning to Look: A Dynamic Neural Fields Architecture for Gaze Shift Generation. In: Wermter, S., et al. Artificial Neural Networks and Machine Learning – ICANN 2014. ICANN 2014. Lecture Notes in Computer Science, vol 8681. Springer, Cham. https://doi.org/10.1007/978-3-319-11179-7_88
Download citation
DOI: https://doi.org/10.1007/978-3-319-11179-7_88
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11178-0
Online ISBN: 978-3-319-11179-7
eBook Packages: Computer ScienceComputer Science (R0)