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María-José Escobar, Ph. D. Project NeuroMathComp, INRIA Sophia-Antipolis 2004 route des Lucioles, BP 93 06902,Sophia-Antipolis Cedex - France Tel: +33 - (0) 492387837 Fax: +33 - (0) 492387845 Maria-Jose.Escobar@sophia.inria.fr |
| During my PhD I studied bio-inspired models for motion processing, entitled Development of Bio-Inspired Models for Motion Estimation: Analysis and Applications. I work in NeuroCompMath Project Team (former Odyssée) and my thesis was supervised by Pierre Kornprobst and co-supervised by Thierry Viéville . I previously obtained the Ms. in Electronic Engineer and Electronic Engineer title in Universidad Técnica Federico Santa María |
| About my PhD |
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A bio-inspired V1 and MT model working in an analog way: each V1 and MT neurons are modeled as conductance based integrate and fire neurons. We also propose in MT different center-surround interactions varying the shape of the surrounds, these different configurations code different aspects of motion analysis.
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A bio-inspired V1 and MT model working in a fully spiking model: our MT layer receives spiking inputs coming from a previous spiking V1 layer. MT layer integrates this information to produce spikes as output. In this configuration we also tried different center-surround interactions in MT cells, but now the focus is the role of integrative and inhibitory surrounds. The Human Action Recognition task was also used to validate this model. Using the spike trains output of MT cells we propose two different methods to interpret the information here contained, one using the mean firing rate of the spike trains and one using synchrony between those spike trains.
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Study of cell's dynamics for the aperture problem solution: Work done in collaboration with G. S. Masson (INCM/CNRS Marseille), which consists in try to explain, through different cell's connectivity within and between different brain areas, the solution of the aperture problem seen in real cell's measurements, visual perception and in ocular following recordings (OFR). A simple model was already published in Neurocomp 2008 (link). Now, as last part of my thesis we are proposing a neural mass model as formalization of the previous work done for Neurocomp 2008. I am currently working on this and the results have not been published.
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