Abstract
We propose an integrated model of the saccadic circuitry involved in target selection and motor command. It includes the Superior Colliculus and the Basal Ganglia in both cortical and subcortical loops. This model has spatial and feature-based learning capabilities which are demonstrated on various saccade tasks on a robotic platform. Results show that it is possible to learn to select saccades based on spatial information, feature-based information and combinations of both, without the necessity to explicitly pre-define eye-movement strategies.
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N’Guyen, S., Pirim, P., Meyer, JA., Girard, B. (2010). An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot. In: Doncieux, S., Girard, B., Guillot, A., Hallam, J., Meyer, JA., Mouret, JB. (eds) From Animals to Animats 11. SAB 2010. Lecture Notes in Computer Science(), vol 6226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15193-4_11
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DOI: https://doi.org/10.1007/978-3-642-15193-4_11
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