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Neural circuits for evidence accumulation and decision making in larval zebrafish.
Nature Neuroscience ( IF 21.2 ) Pub Date : 2019-12-02 , DOI: 10.1038/s41593-019-0534-9
Armin Bahl 1 , Florian Engert 1
Affiliation  

To make appropriate decisions, animals need to accumulate sensory evidence. Simple integrator models can explain many aspects of such behavior, but how the underlying computations are mechanistically implemented in the brain remains poorly understood. Here we approach this problem by adapting the random-dot motion discrimination paradigm, classically used in primate studies, to larval zebrafish. Using their innate optomotor response as a measure of decision making, we find that larval zebrafish accumulate and remember motion evidence over many seconds and that the behavior is in close agreement with a bounded leaky integrator model. Through the use of brain-wide functional imaging, we identify three neuronal clusters in the anterior hindbrain that are well suited to execute the underlying computations. By relating the dynamics within these structures to individual behavioral choices, we propose a biophysically plausible circuit arrangement in which an evidence integrator competes against a dynamic decision threshold to activate a downstream motor command.

中文翻译:

用于幼虫斑马鱼证据积累和决策的神经回路。

为了做出适当的决定,动物需要积累感官证据。简单的积分器模型可以解释这种行为的许多方面,但如何在大脑中机械地实现底层计算仍然知之甚少。在这里,我们通过将灵长类研究中经典使用的随机点运动识别范式应用于幼虫斑马鱼来解决这个问题。使用其先天的视运动反应作为决策制定的衡量标准,我们发现幼虫斑马鱼在数秒内积累并记住运动证据,并且该行为与有界泄漏积分器模型非常一致。通过使用全脑功能成像,我们确定了前后脑中非常适合执行基础计算的三个神经元簇。
更新日期:2019-12-02
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