通过向量计算构建一个全中心的行驶方向信号
Cheng Lyu1, L F Abbott2, Gaby Maimon3
1Laboratory of Integrative Brain Function and Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA.
Nature
|December 16, 2021
概括
这项研究揭示了Drosophila大脑如何执行导航的矢量算法. 一个新发现的神经信号和电路使用以身体为中心到以世界为中心的转换来计算的移动方向.
科学领域:
- 神经科学
- 计算神经科学
- 动物的行为
背景情况:
- 行为任务通常需要向量操纵,但向量操作的神经机制在计算模型之外基本上是未知的.
- 在Drosophila中,中心复合体与目标导航有关,这表明它在空间计算中具有潜在的作用.
- 之前的研究发现神经元跟踪相对于外部线索的方向角, 但如何调和行驶和方向角差异尚不清楚.
研究的目的:
- 阐明大脑中矢量算法的神经机制,特别是在Drosophila中心复合体内.
- 识别和表征神经信号和涉及自我中心到非中心坐标转换的电路,用于导航.
主要方法:
- 在风扇形体中识别了一种新的神经信号,
- 执行坐标转换和向量的神经回路的表征.
- 在神经元群体中使用侧面活动模式建模矢量运算.
主要成果:
- 一个神经信号明确地跟踪了偏心的行驶角度,当行驶和方向角度分离时更新空间感.
- 一个电路执行自我中心到非中心的坐标转换和向量加法来计算非中心的移动方向.
- 二维向量被映射到正弦活动模式上,其中幅度编码向量的长度和相位编码向量的角度.
结论:
- 德洛索菲拉中心复合体执行向量算术, 这对于目标导航至关重要.
- 识别的电路提供了基于移动的空间表示的更新机制.
- 侧面向量编码的原理可以泛用于需要向量操作或参考框架转换的其他大脑区域和功能.
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