论文标题
秀丽隐杆线虫连接组中抑制性神经元的分布促进了协调的神经活动的自我优化
The distribution of inhibitory neurons in the C. elegans connectome facilitates self-optimization of coordinated neural activity
论文作者
论文摘要
线虫土壤蠕虫秀丽隐杆线虫的神经系统表现出显着的复杂性，尽管蠕虫的尺寸很小。一个普遍的挑战是更好地了解系统级别的神经组织与神经活动之间的关系，包括抑制连接的功能作用。在这里，我们实施了秀丽隐杆线虫连接组的抽象模拟模型，该模型近似于每个神经元的神经递质身份，并探讨了这些生理差异在神经活动中的功能作用。特别是，我们创建了一个Hopfield神经网络，在该网络中，以抑制性神经递质为特征的所有蠕虫神经元都分配了抑制性向外发出的连接。然后，我们创建了一个控制条件，在该条件下，在整个网络中任意分布相同数量的抑制连接。对这两个条件的比较表明，与抑制性连接的任意分布相比，抑制性联系的生物学分布有助于协调神经活动的自选。
The nervous system of the nematode soil worm Caenorhabditis elegans exhibits remarkable complexity despite the worm's small size. A general challenge is to better understand the relationship between neural organization and neural activity at the system level, including the functional roles of inhibitory connections. Here we implemented an abstract simulation model of the C. elegans connectome that approximates the neurotransmitter identity of each neuron, and we explored the functional role of these physiological differences for neural activity. In particular, we created a Hopfield neural network in which all of the worm's neurons characterized by inhibitory neurotransmitters are assigned inhibitory outgoing connections. Then, we created a control condition in which the same number of inhibitory connections are arbitrarily distributed across the network. A comparison of these two conditions revealed that the biological distribution of inhibitory connections facilitates the self-optimization of coordinated neural activity compared with an arbitrary distribution of inhibitory connections.
