接下来是什么? 可预测的视觉序列被编码为预期偏差和减少的神经反应
Songyun Bai1,2, Maëlan Q Menétrey1,3,4, David Pascucci1,3,4
1Laboratory of Psychophysics, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
iScience
|February 9, 2026
概括
大脑通过创建预测性神经表示来预测移动的物体,这些预测性神经表示在参与可预测的运动时显示活动减少和预测性转移. 这表明内部化动态有助于稳定的感知.
科学领域:
- 认知神经科学 认知神经科学
- 计算神经科学是一种神经科学.
- 视觉感知 视觉感知 视觉感知
背景情况:
- 大脑预测物体运动的能力对于稳定的感知和与环境的相互作用至关重要.
- 代表动量 (RM) 描述了一个感知偏差,在这个偏差中,在运动中的物体在其轨迹上被误认为是错误的.
- 了解视觉运动感知中的预测处理的神经基础仍然是一个活跃的研究领域.
研究的目的:
- 调查视觉运动感知中代表动量 (RM) 背后的神经机制.
- 检查注意力如何调节可预测与随机视觉运动的神经表征.
- 为了确定早期的神经反应是否反映了导向表示中的预期偏差.
主要方法:
- 使用脑电图 (EEG) 在视觉感知任务中记录稳定状态视觉唤起潜能 (SSVEPs).
- 使用解码分析来追踪来自EEG数据的方向神经表示.
- 呈现给参与者同时流出可预测的旋转和随机格子,操纵注意力集中.
主要成果:
- 与随机 (RDD) 序列相比,参加可预测的旋转 (RTT) 序列导致神经响应幅度降低.
- 在RTT期间观察到神经对方向表示的系统预测转变,反映了行为RM.
- 这些预测性神经偏差在早期的刺激后延迟期出现,表明快速的预测处理.
结论:
- 大脑利用内化运动动态来产生稳定,预测的神经表征.
- 注意地选择可预测的运动会导致更高效的神经处理,其特点是反应强度降低.
- 代表势头的神经机制涉及到感官表示的早期预测性转变.
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