Visual Target Selection Emerges from a Bio-inspired Network Topology

Wahiba Taouali 1 Nicolas Rougier 2 Frédéric Alexandre 2, 3, 4
1 CORTEX - Neuromimetic intelligence
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
2 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : The orientation of sensors toward regions of interest of the environment is an important motor activity, monitored by ancient struc- tures 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 bio- logical data, the speci city of which is related to the homogeneity of the underlying substratum of computation. This makes it more suitable to process massive visual ows 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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Contributor : Wahiba Taouali <>
Submitted on : Thursday, October 27, 2011 - 4:13:36 PM
Last modification on : Friday, May 10, 2019 - 5:30:30 PM


  • HAL Id : inria-00636517, version 1


Wahiba Taouali, Nicolas Rougier, Frédéric Alexandre. Visual Target Selection Emerges from a Bio-inspired Network Topology. J. Kacprzyk. Studies in Computational Intelligence, Springer Verlag, 2012. ⟨inria-00636517⟩



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