Binocular Mirror-Symmetric Microsaccadic Sampling EnablesDrosophilaHyperacute 3D-Vision

Autor: Jouni Takalo, James Hurcomb, Jasper Frohn, Chi-Hon Lee, Paulus Saari, Andra Antohi, Rajmund Mokso, Marko Huttula, Keivan Razban Haghighi, Zhuoyi Song, Mikko Juusola, Neveen Mansour, Fabian Westermeier, James McManus, Jussi-Petteri Suuronen, Mark Hampton, Marina Eckermann, Gábor Lékó, Hugo Hoekstra, Roger C. Hardie, Florence Blanchard, Joni Kemppainen, Ben Scales
Rok vydání: 2021
Předmět:
Popis: Neural mechanisms behind stereopsis, which requires simultaneous disparity inputs from two eyes, have remained mysterious. Here we show how ultrafast mirror-symmetric photomechanical contractions in the frontal forward-facing left and right eye photoreceptors giveDrosophilasuper-resolution 3D-vision. By interlinking multiscalein vivoassays with multiscale simulations, we reveal how these photoreceptor microsaccades - by verging, diverging and narrowing the eyes’ overlapping receptive fields - channel depth information, as phasic binocular image motion disparity signals in time. We further show how peripherally, outside stereopsis, microsaccadic sampling tracks a flying fly’s optic flow field to better resolve the world in motion. These results change our understanding of how insect compound eyes work and suggest a general dynamic stereo-information sampling strategy for animals, robots and sensors.Significance statementTo move efficiently, animals must continuously work out their x,y,z-positions in respect to real-world objects, and many animals have a pair of eyes to achieve this. How photoreceptors actively sample the eyes’ optical image disparity is not understood because this fundamental information-limiting step has not been investigatedin vivoover the eyes’ whole sampling matrix. This integrative multiscale study will advance our current understanding of stereopsis from static image disparity comparison to a new morphodynamic active sampling theory. It shows how photomechanical photoreceptor microsaccades enableDrosophilasuper-resolution 3D-vision and proposes neural computations for accurately predicting these flies’ depth-perception dynamics, limits, and visual behaviors.
Databáze: OpenAIRE