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首页> 外文会议>Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES) >Understanding interactions between networks controlling distinct behaviours: Escape and swimming in larval zebrafish
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Understanding interactions between networks controlling distinct behaviours: Escape and swimming in larval zebrafish

机译：了解控制不同行为的网络之间的相互作用：幼虫斑马鱼的逃生和游泳

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摘要

Spinal neural networks in larval zebrafish generate a variety of movements such as escape, struggling, and swimming. There have been a number of untested proposals regarding possible mechanisms at both the network and neural levels to account for switches between these behaviours. However, there are currently no detailed demonstrations of such mechanisms, so it is not possible to determine which are plausible and which are not. Here we propose a detailed, biologically plausible model of the interactions between the swimming and escape networks in the larval zebrafish. This model shows how distinct behaviours can be controlled by anatomically overlapping networks. More generally, this paper demonstrates a method for constructing spiking networks consistent with both high-level behavioural descriptions and available neural data.
机译：幼虫斑马鱼的脊髓神经网络会产生各种运动，例如逃跑，挣扎和游泳。关于在网络和神经层次上考虑这些行为之间切换的可能机制，已经有许多未经测试的提议。但是，目前尚无此类机制的详细说明，因此无法确定哪些是合理的，哪些不是。在这里，我们提出了一个详细的，生物学上可行的幼体斑马鱼的游泳和逃逸网络之间相互作用的模型。该模型显示了如何通过解剖上重叠的网络来控制不同的行为。更一般而言，本文演示了一种构建与高级行为描述和可用神经数据一致的尖峰网络的方法。

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