在小鼠初级视觉皮层中,任务上下文的连续多重群体表示
Márton Albert Hajnal1, Duy Tran2,3, Michael Einstein2
1Department of Computational Sciences, Wigner Research Center for Physics, Budapest, 1121, Hungary.
Nature communications
|October 21, 2023
概括
主视觉皮层 (V1) 可以灵活地整合上下文和其他任务变量,而不会破坏视觉处理. 这种复杂化策略允许V1处理多个信号,提高任务性能.
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:
- 有效的任务执行依赖于表示多个与任务相关的变量.
- 众所周知,主要视觉皮层 (V1) 代表了视觉输入之外的变量,包括期望,选择和上下文.
- 目前尚不清楚V1如何灵活地适应这些多样化的变量而不会影响视觉表示.
研究的目的:
- 研究主要视觉皮层 (V1) 如何将与视觉信息相关的非视觉任务相关的变量,如上下文,与视觉信息相结合.
- 确定V1在没有干扰的情况下维护任务相关信息的神经机制.
- 在V1.1中探索上下文信号的行为相关性.
主要方法:
- 训练小鼠完成一个具有挑战性的背景切换跨模式决策任务.
- 在V1中,神经活动在任务执行期间被记录下来.
- 分析的重点是识别和表征上下文信号,以及它们与行为和其他神经表征的关系.
主要成果:
- 在V1中出现了一个上下文信号,它与行为相关,并且与任务性能有很强的相关性,独立于运动.
- 这种上下文信号通过多重复的机制集成到V1表示中,视觉和上下文信号占据直角子空间.
- 听觉和选择信号也被发现是多重复的,与上下文表示是正交的.
结论:
- 主要视觉皮层 (V1) 采用多重复合来将视觉信息与其他感觉模式和认知变量 (如上下文和选择) 结合起来.
- 这种多重复合机制可以防止V1.1内不同类型的神经表示之间的干扰.
- 对于有效的任务执行和决策,V1能够灵活地容纳和维护任务相关的变量是至关重要的.
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