Integration of optic flow into the sky compass network in the brain of the desert locust.

IF 3.4 3区 医学 Q2 NEUROSCIENCES Frontiers in Neural Circuits Pub Date : 2023-01-01 DOI:10.3389/fncir.2023.1111310
Frederick Zittrell, Kathrin Pabst, Elena Carlomagno, Ronny Rosner, Uta Pegel, Dominik M Endres, Uwe Homberg
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引用次数: 6

Abstract

Flexible orientation through any environment requires a sense of current relative heading that is updated based on self-motion. Global external cues originating from the sky or the earth's magnetic field and local cues provide a reference frame for the sense of direction. Locally, optic flow may inform about turning maneuvers, travel speed and covered distance. The central complex in the insect brain is associated with orientation behavior and largely acts as a navigation center. Visual information from global celestial cues and local landmarks are integrated in the central complex to form an internal representation of current heading. However, it is less clear how optic flow is integrated into the central-complex network. We recorded intracellularly from neurons in the locust central complex while presenting lateral grating patterns that simulated translational and rotational motion to identify these sites of integration. Certain types of central-complex neurons were sensitive to optic-flow stimulation independent of the type and direction of simulated motion. Columnar neurons innervating the noduli, paired central-complex substructures, were tuned to the direction of simulated horizontal turns. Modeling the connectivity of these neurons with a system of proposed compass neurons can account for rotation-direction specific shifts in the activity profile in the central complex corresponding to turn direction. Our model is similar but not identical to the mechanisms proposed for angular velocity integration in the navigation compass of the fly Drosophila.

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将光流集成到沙漠蝗大脑中的天空罗盘网络中。
通过任何环境的灵活定向需要基于自我运动更新的当前相对航向感。来自天空或地球磁场的全局外部线索和局部线索为方向感提供了参考框架。在局部,光流可以告知转弯机动、行驶速度和覆盖距离。昆虫大脑中的中枢复合体与定向行为有关,在很大程度上起着导航中心的作用。来自全球天体线索和当地地标的视觉信息被整合到中央综合体中,形成当前航向的内部表示。然而,目前尚不清楚光流是如何集成到中央复杂网络中的。我们记录了蝗虫中央复合体神经元的细胞内,同时呈现了模拟平移和旋转运动的横向光栅模式,以识别这些整合位点。某些类型的中枢复合体神经元对光流刺激敏感,与模拟运动的类型和方向无关。支配结节的柱状神经元,成对的中央复合亚结构,被调整到模拟水平转弯的方向。用罗盘神经元系统对这些神经元的连通性进行建模,可以解释中枢复合体活动剖面中与旋转方向对应的旋转方向特定变化。我们的模型与果蝇导航罗盘中角速度整合的机制相似,但并不完全相同。
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来源期刊
CiteScore
6.00
自引率
5.70%
发文量
135
审稿时长
4-8 weeks
期刊介绍: Frontiers in Neural Circuits publishes rigorously peer-reviewed research on the emergent properties of neural circuits - the elementary modules of the brain. Specialty Chief Editors Takao K. Hensch and Edward Ruthazer at Harvard University and McGill University respectively, are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Frontiers in Neural Circuits launched in 2011 with great success and remains a "central watering hole" for research in neural circuits, serving the community worldwide to share data, ideas and inspiration. Articles revealing the anatomy, physiology, development or function of any neural circuitry in any species (from sponges to humans) are welcome. Our common thread seeks the computational strategies used by different circuits to link their structure with function (perceptual, motor, or internal), the general rules by which they operate, and how their particular designs lead to the emergence of complex properties and behaviors. Submissions focused on synaptic, cellular and connectivity principles in neural microcircuits using multidisciplinary approaches, especially newer molecular, developmental and genetic tools, are encouraged. Studies with an evolutionary perspective to better understand how circuit design and capabilities evolved to produce progressively more complex properties and behaviors are especially welcome. The journal is further interested in research revealing how plasticity shapes the structural and functional architecture of neural circuits.
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