Givon Lev E, Lazar Aurel A, Yeh Chung-Heng
The Charles Stark Draper Laboratory, Inc.Cambridge, MA, United States.
Bionet Group, Department of Electrical Engineering, Columbia UniversityNew York, NY, United States.
Front Behav Neurosci. 2017 May 30;11:102. doi: 10.3389/fnbeh.2017.00102. eCollection 2017.
The central complex (CX) is a set of neuropils in the center of the fly brain that have been implicated as playing an important role in vision-mediated behavior and integration of spatial information with locomotor control. In contrast to currently available data regarding the neural circuitry of neuropils in the fly's vision and olfactory systems, comparable data for the CX neuropils is relatively incomplete; many categories of neurons remain only partly characterized, and the synaptic connectivity between CX neurons has yet to be fully determined. Successful modeling of the information processing functions of the CX neuropils therefore requires a means of easily constructing and testing a range of hypotheses regarding both the high-level structure of their neural circuitry and the properties of their constituent neurons and synapses. To this end, we have created a web application that enables simultaneous graphical querying and construction of executable models of the CX neural circuitry based upon currently available information regarding the geometry and polarity of the arborizations of identified local and projection neurons in the CX. The application's novel functionality is made possible by the Fruit Fly Brain Observatory, a platform for collaborative study and development of fruit fly brain models.
中央复合体(CX)是果蝇大脑中心的一组神经纤维网,被认为在视觉介导的行为以及空间信息与运动控制的整合中发挥重要作用。与目前关于果蝇视觉和嗅觉系统中神经纤维网神经回路的可用数据相比,CX神经纤维网的可比数据相对不完整;许多类别的神经元仍仅部分得到表征,CX神经元之间的突触连接尚未完全确定。因此,要成功模拟CX神经纤维网的信息处理功能,需要一种能够轻松构建和测试一系列关于其神经回路的高级结构以及其组成神经元和突触特性的假设的方法。为此,我们创建了一个网络应用程序,该程序能够基于目前关于CX中已识别的局部和投射神经元树突分支的几何形状和极性的可用信息,同时进行图形查询并构建CX神经回路的可执行模型。该应用程序的新颖功能得益于果蝇大脑观测站,这是一个用于果蝇大脑模型协作研究和开发的平台。