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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:在幼虫斑马鱼中逃脱和游泳

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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:幼虫斑马鱼的脊柱神经网络产生各种运动,如逃避,挣扎和游泳。有许多未经测试的提案有关网络和神经水平的可能机制,以解释这些行为之间的交换机。但是,目前没有这样的机制的详细示威,因此无法确定哪些是合理的并且不是。在这里,我们提出了一种详细的,生物合理的模型的游泳和逃生网络之间的相互作用模型。该模型显示了如何通过解剖数据重叠网络来控制不同的行为。更一般地,本文演示了一种构造与高级行为描述和可用神经数据一致的尖刺网络的方法。

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