关于侧连通性在视网膜预期中的潜在作用。

IF 2.3 4区 医学 Q1 Neuroscience Journal of Mathematical Neuroscience Pub Date : 2021-01-09 DOI:10.1186/s13408-020-00101-z
Selma Souihel, Bruno Cessac
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引用次数: 5

摘要

我们分析了侧连通性(无突细胞和间隙连接)对视网膜运动预期的潜在影响。我们的主要结果是,在论文中分析的条件下,横向连通性可以触发一波活动,增强局部增益控制提供的预期机制(Berry等人,Nature 398(6725):334-338, 1999;神经科学学报,33(1):120-132,2013。我们通过实验文献中研究的两个例子来说明这些预测:微分运动敏感细胞(Baccus和Meister在Neuron 36(5):909-919, 2002)和方向敏感细胞,其中方向敏感性遗传自间隙连接的不对称性(Trenholm等人在Nat. Neurosci. 16:154-156, 2013)。我们最后展示了视网膜对2D视觉输入的反应重建,以评估我们的模型在三种不同的2D刺激情况下预测运动的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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On the potential role of lateral connectivity in retinal anticipation.

We analyse the potential effects of lateral connectivity (amacrine cells and gap junctions) on motion anticipation in the retina. Our main result is that lateral connectivity can-under conditions analysed in the paper-trigger a wave of activity enhancing the anticipation mechanism provided by local gain control (Berry et al. in Nature 398(6725):334-338, 1999; Chen et al. in J. Neurosci. 33(1):120-132, 2013). We illustrate these predictions by two examples studied in the experimental literature: differential motion sensitive cells (Baccus and Meister in Neuron 36(5):909-919, 2002) and direction sensitive cells where direction sensitivity is inherited from asymmetry in gap junctions connectivity (Trenholm et al. in Nat. Neurosci. 16:154-156, 2013). We finally present reconstructions of retinal responses to 2D visual inputs to assess the ability of our model to anticipate motion in the case of three different 2D stimuli.

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来源期刊
Journal of Mathematical Neuroscience
Journal of Mathematical Neuroscience Neuroscience-Neuroscience (miscellaneous)
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审稿时长
13 weeks
期刊介绍: The Journal of Mathematical Neuroscience (JMN) publishes research articles on the mathematical modeling and analysis of all areas of neuroscience, i.e., the study of the nervous system and its dysfunctions. The focus is on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behaviours in neuroscience at all relevant scales, from the molecular world to that of cognition. The aim is to publish work that uses advanced mathematical techniques to illuminate these questions. It publishes full length original papers, rapid communications and review articles. Papers that combine theoretical results supported by convincing numerical experiments are especially encouraged. Papers that introduce and help develop those new pieces of mathematical theory which are likely to be relevant to future studies of the nervous system in general and the human brain in particular are also welcome.
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