Abstract

How is binocular motion information integrated in the bilateral network of wide-field motion-sensitive neurons, called lobula plate tangential cells (LPTCs), in the visual system of flies? It is possible to construct an accurate model of this network because a complete picture of synaptic interactions has been experimentally identified. We investigated the cooperative behavior of the network of horizontal LPTCs underlying the integration of binocular motion information and the information representation in the bilateral LPTC network through numerical simulations on the network model. First, we qualitatively reproduced rotational motion-sensitive response of the H2 cell previously reported in vivo experiments and ascertained that it could be accounted for by the cooperative behavior of the bilateral network mainly via interhemispheric electrical coupling. We demonstrated that the response properties of single H1 and Hu cells, unlike H2 cells, are not influenced by motion stimuli in the contralateral visual hemi-field, but that the correlations between these cell activities are enhanced by the rotational motion stimulus. We next examined the whole population activity by performing principal component analysis (PCA) on the population activities of simulated LPTCs. We showed that the two orthogonal patterns of correlated population activities given by the first two principal components represent the rotational and translational motions, respectively, and similar to the H2 cell, rotational motion produces a stronger response in the network than does translational motion. Furthermore, we found that these population-coding properties are strongly influenced by the interhemispheric electrical coupling. Finally, to test the generality of our conclusions, we used a more simplified model and verified that the numerical results are not specific to the network model we constructed.

Highlights

  • For many living beings, binocular visual perception is one of the most important functions of their visual systems

  • We focused on the network of horizontal lobula plate tangential cells (LPTCs) that mainly contributes to binocular motion integration and constructed a bilateral network model that takes into account all synaptic connections that have experimentally identified in the actual network

  • We carried out numerical simulations of the detailed model to analyze how the activity of single LPTCs of one hemisphere in response to the preferred direction (PD) motion stimulus presented in the ipsilateral visual hemi-field are modified by changes in the contralateral LPTCs activities depending on motion stimuli in the contralateral visual hemi-field

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Summary

Introduction

Binocular visual perception is one of the most important functions of their visual systems. The retinal images in the eyes are slightly different from each other, which is referred to as binocular disparity, and this difference provides information that the brain can use to calculate the depth of objects in the visual field. Forward or backward translation of animals (translational ego-motion) elicits an optic flow directed either from front-to-back or from back-to-front on both eyes. The combination of optic flow fields in the eyes provides information that the brain can use to distinguish whether they are rotating or translating. To achieve this computation, motion information from the eyes has to be integrated in the brain. We study the visual system of flies, an ideal model system to analyze such a binocular computation [7,8,9,10,11,12,13,14,15]

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