Une approche computationnelle de la dépendance au mouvement du codage de la position dans la système visuel
- par Mina Aliakbari khoei sous la direction de Laurent Perrinet - Aix-Marseille Université
Thèse de Neurosciences PDF
- Soutenue le 06-10-2014
- Mina A. Khoei. Motion-based prediction model for flash lag effect, URL . 2014 abstractCoding the position of moving objects is an essential ability of the visual system in fulfilling precise and robust tracking tasks. In daily vision, low contrast conditions introduce sensory noise and transient interruptions or occlusions may temporally block the sensory flow. Moreover, due to neural delays, the visual system has a retarded access to motion information and needs to compensate for the induced positional error. This thesis is focused upon this question: How does the visual system efficiently encode the position of moving objects, despite various sources of uncertainty?This study deploys the hypothesis that the visual systems uses prior knowledge on the temporal coherency of motion (Burgi, Yuille, and Grzywacz, 2000; Yuille and Grzywacz, 1989). We implemented this prior by extending the modeling framework previously proposed to explain the aperture problem (Perrinet and Masson, 2012), so-called motion-based prediction (MBP). This latter model is a Bayesian motion estimation framework implemented by particle filtering. Based on that, we have introduced a theory on motion-based position coding, to investigate how neural mechanisms encoding the instantaneous position of moving objects might be affected by motion..
All material (c) L. Perrinet. Please check the copyright notice.
This work was supported by European Union project Number FP7-269921, "BrainScales".