The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements

Anthony Mouraud 1, * Hélène Paugam-Moisy 1, 2 Alain Guillaume 3
* Corresponding author
1 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : The DAMNED simulator is a Distributed And Multithreaded Neural Event-Driven framework designed for implementing Spiking Neuron Networks (SNNs). This paper shows the power of DAMNED for simulating the temporal dynamics of a biologically inspired model of the system controlling saccadic eye movements. A fundamental neural structure for the saccade generation is the Superior Colliculus (SC). The proposed model relies on two pathways leaving this structure: A first one supervises the motor error and the movement initiation and a second one provides a direct drive to premotor centers. This simple model, its SNN implementation and its dynamic behaviour reproduce the evolution of movement amplitude as a function of activity location in the SC. It also accounts for classical results obtained when the SC is subjected to electrical stimulations.
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Anthony Mouraud, Hélène Paugam-Moisy, Alain Guillaume. The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements. ICANN'2010, International Conference on Artificial Neural Networks, Sep 2010, Thessaloniki, Greece. ⟨inria-00545670⟩

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