在任务编码维度之外的神经动力学通过短暂放大驱动决策轨迹
Ulises Pereira-Obilinovic1, Kayvon Daie1, Susu Chen2
1Allen Institute for Neural Dynamics, Seattle, WA, United States of America.
bioRxiv : the preprint server for biology
|December 3, 2025
概括
与任务相关的"编码维度"之外的神经活动关键地驱动行为. 经常被忽视的剩余维度通过影响神经动力学来因果地塑造决策,挑战神经计算的传统观点.
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:
- 神经活动发生在高维空间中.
- 任务对齐的子空间 (编码维度) 通常用于决策.
- 在这些子空间 (剩余维度) 外的神经活动的作用尚不清楚.
研究的目的:
- 调查编码和残留神经维度在决策中的因果作用.
- 在单个试验中模拟这些子空间之间的动态相互作用.
- 在理解神经计算方面挑战对低维编码子空间的关注.
主要方法:
- 开发了一个循环神经网络模型,以适应人口活动.
- 将模型应用于来自小鼠前侧运动皮质和运动体的电生理记录.
- 扰乱编码和残余维度以观察对行为的影响.
主要成果:
- 剩余维度的扰动改变了行为选择,而选择维度的扰动无效.
- 在吸引力状态崩之前,残余维度驱动了跨维度的短暂放大.
- 错误试验显示轨迹沿剩余维度移动,影响决策.
- 甲状腺残留活性影响皮层决策动态.
结论:
- 以前被认为与任务无关的神经维度 (残余维度) 在驾驶行为中起着至关重要的作用.
- 这项研究挑战了低维编码子空间对于解释神经计算的充分性.
- 选择性较弱的甲状腺群体有助于皮质的决策和选择性.
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