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Visual Target Selection Emerges from a Bio-inspired Network Topology

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Computational Intelligence (IJCCI 2010)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 399))

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Abstract

The orientation of sensors toward regions of interest of the environment is an important motor activity, monitored by ancient structures of the brainstem. Particularly, the superior colliculus is known to be deeply involved in visual saccadic behavior. Target selection relies on various hints including exogenous information about the nature and the position of candidate targets and endogenous information about current motivations. We present a model of the collicular structure based on biological data, the specificity of which is related to the homogeneity of the underlying substratum of computation. This makes it more suitable to process massive visual flows on a distributed architecture, as it could be requested in a realistic task in autonomous robotics. The present model is restricted to the exogenous part of the visual pathway, from the retina to the superior colliculus. A realistic behavior for the selection of exogenous targets is reported here.

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References

  1. Ungerleider, L., Mishkin, M.: Two Cortical Visual Systems. In: Ingle, D.J., Goodale, M., Mansfield, R.J.W. (eds.) Analysis of Visual Behaviour, pp. 549–586 (1982)

    Google Scholar 

  2. Milner, A., Goodale, M.: The Visual Brain in Action. Oxford University Press (1995)

    Google Scholar 

  3. Goodale, M., Humphrey, G.: The objects of action and perception. Cognition 67, 181–207 (1998)

    Article  Google Scholar 

  4. Ballard, D., Hayhoe, M., Pook, P., Rao, R.: Deictic Codes for the Embodiment of Cognition. Behavioral and Brain Sciences 20, 723–767 (1997)

    Article  Google Scholar 

  5. Rizzolatti, G., Riggio, L., Dascola, I., Umil, C.: Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention. Neuropsychologia 25, 31–40 (1987)

    Article  Google Scholar 

  6. Lettvin, J., Maturana, H., Mcculloch, W., Pitts, W.: What the frog’s eye tells the frog’s brain. In: Corning, W.C., Balaban, M. (eds.) The Mind: Biological Approaches to its Functions, pp. 233–258 (1968)

    Google Scholar 

  7. Isa, T.: Intrinsic processing in the mammalian superior colliculus. Current Opinion in Neurobiogy 12, 668–677 (2002)

    Article  Google Scholar 

  8. Girard, B., Berthoz, A.: From brainstem to cortex: computational models of saccade generation circuitry. Progress in Neurobiology 77, 215–251 (2005)

    Article  Google Scholar 

  9. Muller, J., Philiastides, M., Newsome, W.: Microstimulation of the superior colliculus focuses attention without moving the eyes. Proceedings of the National Academy of Sciences 102, 524–529 (2005)

    Article  Google Scholar 

  10. Findlay, J., Walker, R.: A model of saccade generation based on parallel processing and competitive inhibition. Behavioral and Brain Sciences 22, 661–674 (1999)

    Article  Google Scholar 

  11. Kramer, A.F., Irwin, D.E., Theeuwes, J., Hahn, S.: Oculomotor capture by abrupt onsets reveals concurrent programming of voluntary and involuntary saccades. Behavioral and Brain Sciences 22, 689–690 (1999)

    Article  Google Scholar 

  12. Godijn, R., Theeuwes, J.: Programming of endogenous and exogenous saccades: evidence for a competitive integration model. Journal of Experimental Psychology: Human Perception and Performance 28, 1039–1054 (2002)

    Google Scholar 

  13. Amari, S.I.: Dynamics of pattern formation in lateral-inhibition type neural fields. Biological Cybernetics 27, 77–87 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  14. Trappenberg, T., Dorrisn, M., Munoz, D., Klein, R.: A model of saccade initiation based on the competitive integration of exogenous and endogenous signals in the superior colliculus. Journal of Cognitive Neuroscience 13, 256–271 (2001)

    Article  Google Scholar 

  15. Schneider, S., Erlhagen, W.: A neural field model for saccade planning in the superior colliculus: speed-accuracy tradeoff in the double-target paradigm. Neurocomputing 44-46, 623–628 (2002)

    Article  MATH  Google Scholar 

  16. Wurtz, R., Optican, L.: Superior colliculus cell types and models of saccade generation. Current Opinion in Neurobiology 4, 857–861 (1994)

    Article  Google Scholar 

  17. Marilly, E., Mercier, A., Coroyer, C., Faure, A., Cachard, O.: Propriétés d’un pré-processeur de vision fovéale. Dix-septiéme colloque GRETSI (1999)

    Google Scholar 

  18. Purves, D.: Neurosciences, 2nd edn. De Boeck (2004)

    Google Scholar 

  19. Robinson, D.: Eye movements evoked by collicular stimulation in the alert monkey. Vision Research 12, 1795–1808 (1972)

    Article  Google Scholar 

  20. Ottes, F., Gisbergen, J.V., Eggermont, J.: Visuomotor fields of the superior colliculus: a quantitative model. Vision Res. 26, 857–873 (1986)

    Article  Google Scholar 

  21. Bear, M., Connors, B., Paradiso, M.: Neuroscience: Exploring the Brain. Lippincott Williams & Wilkins (1996)

    Google Scholar 

  22. Wilson, H., Cowan, J.: A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Biological Cybernetics 13, 55–80 (1973)

    MATH  Google Scholar 

  23. Taylor, J.: Neural bubble dynamics in two dimensions: foundations. Biological Cybernetics 80, 393–409 (1999)

    Article  MATH  Google Scholar 

  24. Rougier, N., Vitay, J.: Emergence of attention within a neural population. Neural Networks 19, 573–581 (2006)

    Article  MATH  Google Scholar 

  25. Munoz, D., Istvan, P.: Lateral inhibitory interactions in the intermediate layers of the monkey superior colliculus. J. Neurophysiol. 79, 1193–1209 (1998)

    Article  Google Scholar 

  26. Sparks, D., Lee, C., Rohrer, W.: Population coding of the direction, amplitude, and velocity of saccadic eye movements by neurons in the superior colliculus. Cold Spring Harbor Symposia on Quantitative Biology 55, 805–811 (1990)

    Article  Google Scholar 

  27. McIlwain, J.: Large receptive fields and spatial transfor- mations in the visual system. Int. Rev. Physiol. 10, 223–248 (1976)

    Google Scholar 

  28. Sparks, D., Holland, R., Guthrie, B.: Size and distribution of movement fields in the monkey superior colliculus. Brain Res. 113, 21–34 (1976)

    Article  Google Scholar 

  29. Lee, C., Rohrer, W., Sparks, D.: Population coding of saccadic eye movements by neurons in the superior colliculus. Nature 332, 357–360 (1988)

    Article  Google Scholar 

  30. Yarbus, A.: Eye movements and vision, 1st edn. Plenum Press (1967)

    Google Scholar 

  31. Noton, D., Stark, L.: Scanpaths in eye movements during pattern perception. Science 13, 149–177 (1971)

    Google Scholar 

  32. Levy-Schoen, A.: Le champ d’activité du regard: données expérimentales. Année Psychol. 74, 43–66 (1974)

    Article  Google Scholar 

  33. Fix, J., Vitay, J., Rougier, N.: A computational model of spatial memory anticipation during visual search. In: Anticipatory Behavior in Adaptive Learning Systems (2006)

    Google Scholar 

  34. O’Regan, J., Noe, A.: A sensorimotor account of vision and visual consciousness. Behavioral and Brain Sciences 24, 939–1031 (2001)

    Article  Google Scholar 

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Authors and Affiliations

  1. Université Henri Poincaré- LORIA, Campus Scientifique, Vandoeuvre-lès-Nancy Cedex, France

    Wahiba Taouali, Nicolas Rougier & Frédéric Alexandre

  2. Grand Est Research Center, INRIA Nancy, Villers les Nancy Cedex, France

    Wahiba Taouali, Nicolas Rougier & Frédéric Alexandre

Authors
  1. Wahiba Taouali
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  2. Nicolas Rougier
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  3. Frédéric Alexandre
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Corresponding author

Correspondence to Wahiba Taouali .

Editor information

Editors and Affiliations

  1. , Images, Signals and Intelligence, University Paris-Est Creteil (UPEC), LISSI EA 3956, Paris, 77127, France

    Kurosh Madani

  2. , Departamento de Engenharia Informatica, University of Coimbra, Polo II - Pinhal de Marrocos, Coimbra, 3030, Portugal

    António Dourado Correia

  3. Systems and Robotics Institute, Evolutionary Systems and Biomedical, Instituto Superior Tecnico IST, Av. Rovisco Pais, Lisboa, 1049-001, Portugal

    Agostinho Rosa

  4. INSTICC, Polytechnic Institute of Setúbal, Setubal, 2910-595, Portugal

    Joaquim Filipe

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Taouali, W., Rougier, N., Alexandre, F. (2012). Visual Target Selection Emerges from a Bio-inspired Network Topology. In: Madani, K., Dourado Correia, A., Rosa, A., Filipe, J. (eds) Computational Intelligence. IJCCI 2010. Studies in Computational Intelligence, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27534-0_21

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  • DOI: https://doi.org/10.1007/978-3-642-27534-0_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27533-3

  • Online ISBN: 978-3-642-27534-0

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