Neural circuits for evidence accumulation and decision making in larval zebrafish
Neural circuits for evidence accumulation and decision making in larval zebrafish
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DOI：
10.1038/s41593-019-0534-9
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发表时间：
2020-01-01
影响因子：
25
通讯作者：
Engert, Florian
中科院分区：
文献类型：
--
作者：
Bahl, Armin;Engert, Florian
为了做出正确的决定，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，但底层计算如何在大脑中机械地实现仍然知之甚少。在这里，我们通过适应随机点运动歧视范例，经典的灵长类动物研究中使用的方法来解决这个问题，幼斑马鱼。使用他们的先天optomotor反应作为决策的措施，我们发现，幼斑马鱼积累和记住运动的证据在许多秒，行为是密切一致的有界泄漏积分模型。通过使用全脑功能成像，我们确定了三个神经元簇在前后脑，非常适合执行底层计算。通过将这些结构内的动态与个体行为选择相关联，我们提出了一种生物药理学上合理的电路安排，其中证据整合器与动态决策阈值竞争以激活下游motor command.Bahl和Engert表明，斑马鱼幼虫可以暂时整合感觉信息。然后，作者使用全脑功能成像来搜索、表征和建模非常适合实现潜在过程的大脑区域。
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.Bahl and Engert show that larval zebrafish can temporally integrate sensory information. The authors then use brain-wide functional imaging to search for, characterize and model brain areas that are well-suited to implement the underlying processes.