Ocular Following Response for natural-statistic visual stimuli
- Claudio Simoncini, Laurent U. Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S. Masson. Ocular Following Response for natural-statistic visual stimuli. In Vision Science Society, 2011 abstractSpeed is an essential piece of information to control action in a dynamical environment. In order to measure speed and direction of moving objects, the cortical motion system pools information across different spatiotemporal channels. These channels are constituted of populations of speed-tuned neurons in Medio Temporal cortex. The Ocular Following Response (OFR) is driven by speed information extracted by these channels. We analysed human OFR while varying the spatial frequency bandwidth (Bsf) of natural-statistic stimuli for different: speeds, central spatial frequencies and contrasts. We found that a larger Bsf elicits stronger initial eye velocity during the open-loop part of tracking responses, and that this response changes as a function of spatial frequency, contrast and speed. Furthermore we found that with a larger Bsf the response variability decreases and this effect produces a better discrimination between stimuli with very close speeds. We proposed a likelihood model to explain how the visual system pools motion information from the spatiotemporal channels for this oculomotor task..
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This work was supported from the European Community’s Seventh Framework Program FP7/2007-2013 under grant agreement number 214728-2, "CODDE".