Université Paris-Saclay, CNRS, Institut des Neurosciences Paris Saclay, Gif-sur-Yvette, France.
Decision and Bayesian Computation, UMR 3571 Neuroscience Department & USR 3756 (C3BI/DBC), Institut Pasteur & CNRS, Paris, France.
J Neurogenet. 2020 Mar;34(1):162-170. doi: 10.1080/01677063.2020.1719407. Epub 2020 Feb 13.
To study neural circuits underlying decisions, the model organism used for that purpose has to be simple enough to be able to dissect the circuitry neuron by neuron across the nervous system and in the same time complex enough to be able to perform different types of decisions. Here, I lay out the case: (1) that larva is an advantageous model system that balances well these two requirements and (2) the insights gained from this model, assuming that circuit principles may be shared across species, can be used to advance our knowledge of neural circuit implementation of decision-making in general, including in more complex brains.
为了研究决策背后的神经回路，用于该目的的模式生物必须足够简单，以便能够在整个神经系统中逐个神经元地解剖电路，同时又足够复杂，以便能够执行不同类型的决策。在这里，我提出了以下观点：（1）幼虫是一种有利的模型系统，它很好地平衡了这两个要求；（2）假设电路原理可能在物种间共享，从这个模型中获得的见解可以用于推进我们对决策的神经回路实现的一般认识，包括在更复杂的大脑中。
