对于小鼠上级结合体和灵长类群体定向选择性的共享计算原则
bioRxiv : the preprint server for biology
|June 26, 2025
概括
计算模型调和了老鼠和灵长类动物视觉系统之间的方向选择性差异. 这项研究表明神经处理的共享原则,使得发现能够跨物种概括.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 视觉系统研究 视觉系统研究
背景情况:
- 鼠标和灵长类动物的视觉系统表现出差异,特别是在上层结合体 (SC) 内的方向选择性.
- 灵长类的SC通常缺乏方向选择性,与小鼠的表面SC不同,这引发了对保存的计算原理的质疑.
研究的目的:
- 为了协调小鼠和灵长类动物视觉系统之间的定向选择性观察到的差异.
- 调查是否保留的计算原则背后的方向选择性,尽管物种特定的变化.
主要方法:
- 开发了使用固定,刺激不变受体场 (RF) 的小鼠表面SC种群的计算模型.
- 模拟不同空间频率的神经反应,以评估方向选择性.
- 在空间频域中可视化刺激-射频相互作用.
主要成果:
- 模型射频显示出与空间频率不同而变化的定向选择性,与实验性成像数据相匹配.
- 灵长类动物侧面生殖核 (LGN) 和V1中常见的刺激不变射频解释了小鼠SC数据的大部分.
- 在非偏好的空间频率上观察到反向方向选择性.
结论:
- 一种节的群体建模方法解释了小鼠表面SC中的刺激依赖性定向选择性.
- 单个细胞的内在导向选择性不需要解释人口级数据.
- 该研究提供了一个框架,用于识别跨物种视觉系统的共享计算原则.
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