行为分解揭示了在老鼠新皮质中使用的丰富的编码结构
Bartul Mimica1, Tuçe Tombaz2, Claudia Battistin2,3
1Princeton Neuroscience Institute, Princeton University, Washington Road, Princeton, 100190, NJ, USA. bmimica@princeton.edu.
Nature communications
|July 4, 2023
概括
大脑皮层的神经活动反映了运动,但其在自然行为中的作用尚不清楚. 这项研究揭示了不同大脑区域如何为特定计算编码运动和姿势.
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.
- 系统神经科学 系统神经科学
背景情况:
- 皮层人口代码通常包含与运动相关的活动.
- 这些神经信号与自然行为之间的关系尚未得到充分理解.
- 它们在感官皮层中的功能需要进一步研究.
研究的目的:
- 为了研究不同皮层区域的神经活动如何与自由食大鼠的自然行为有关.
- 确定运动和姿势信息是如何在视觉,听觉,体感和运动皮层组织的.
- 探索这个组织对本地计算的功能影响.
主要方法:
- 在雄性大鼠中,在四个皮质区域 (视觉,听觉,体感,运动) 进行了高密度的神经记录.
- 神经数据与感官调制,姿势,运动以及行为详细的方形图 (ethograms) 相比,进行了分析.
- 使用解码分析来识别所代表的行为特征.
主要成果:
- 像养和转动这样的瞬间行动在所有采样的皮质区域中被无处不在地编码.
- 运动和姿势的连续特征展示了特定区域的组织.
- 视觉和听觉皮层优先将头部的方向编码为世界参照坐标,而体感和运动皮层则将干部和头部编码为自我中心坐标.
- 突触结合的神经元显示了连接模式,表明了特定区域的运动和姿势信号的利用.
结论:
- 持续的行为在整个背皮质的多个层面上被编码.
- 低级别的行为特征由不同的皮质区域差异地处理和利用.
- 这种特定区域的编码支持每个皮质区域内的本地相关计算.
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