在实时解码和扰乱决策状态
Diogo Peixoto1,2,3, Jessica R Verhein4,5,6, Roozbeh Kiani7
1Neurobiology Department, Stanford University, Stanford, CA, USA. dpeixoto@stanford.edu.
中的神经活动波动 (DV) 可以实时预测选择,为决策过程和思维变化提供新的见解.
科学领域:
- 神经科学
- 认知科学
- 如何做出决定
背景情况:
- 试验对象将多个信号样本整合在一起,
- 来自神经活动的决策变量 (DV) 可以预测选择,但试验内波动的理解很差.
研究的目的:
- 研究试验内决策变量波动的行为意义.
- 实时检查神经活动,决策状态和行为选择之间的关系.
主要方法:
- 在中利用神经反控制刺激持续时间.
- 从运动皮层神经群体活动中解码决策变量.
- 应用弱刺激脉冲来探测单个试验的决策动态.
主要成果:
- 在试验中,来自运动皮层的DV波动强烈地预测了行为选择.
- 视频频率的波动比条件平均值或仅视觉刺激更具预测性.
- 观察到的DV标志的变化与行为"心态变化"一致.
结论:
- 试验中的神经波动对于在动态环境中预测决策至关重要.
- 证明了时间变化的决策边界,区分决策模式.
- 提供了一种探索单一审判决策动态的新方法.
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