The use of extraretinal information to compensate for self-movement
It is essential for the brain to keep track of self-movement in order to establish a stable percept of the environment. The major source of information about self-movement is vision. However, non visual (extraretinal) information can also contribute to the sense of motion. This thesis investigated the role of extraretinal signals to account for self-generated motion in the case of eye movements. The interaction of two types of eye movements, i.e. smooth pursuit and saccades, was used to investigate the system's capacity to keep track of self-motion. This work focused in particular on the ability of the saccadic system to account for smooth pursuit eye movements in darkness. A detailed analysis of the saccade metrics allowed the identification of a novel neural mechanism for smooth eye movement integration. As a result, the saccadic system could compensate for smooth eye displacements and thus was able to ensure space constancy across different eye movements. In addition to the experimental approach of this thesis, a mathematical model was developed that described all current findings.
School:Université catholique de Louvain
Source Type:Master's Thesis
Keywords:eye model behaviour extraretinal retinal movement smooth pursuit saccade
Date of Publication:10/19/2004