Abstract
In this paper we explore the possibility that some of the dynamic properties of the neural activity in the gaze-related motor map (located in the intermediate layers of the superior colliculus) might be mediated by local interactions between movement-related neurons and fixation neurons. More specifically, the goal of this research is to demonstrate, from a computational standpoint, which classes of dynamic behaviour of the collicular neurons can be obtained without the intervention of feedback signals, and hence to begin to explore the extent to which the gaze system needs feedback in order to operate. We modelled: (i) the collicular motor map as dynamical system realized with a recurrent neural network: (ii) the dynamics of the neural activity in the map as the trnnsients of that system towards an equilibrium configuration which the network learnt with a recurrent learning algorithm (recurrent backpropagation). The results of our simulations demonstrate the following. (i) The transients of the trained n...
Published Version
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