使用神经生物学启发的计算方法的持续行动揭示了选择历史的动态
Mukesh Makwana1, Fan Zhang2, Dietmar Heinke2
1Brown University, Providence, Rhode Island, United Kingdom.
PLoS computational biology
|July 17, 2023
概括
选择历史通过平衡目标促进和分散注意力的抑制来影响视觉引导的行动. 先前的分心因素比先前的目标更早地影响行动选择,指导目标导向的行为.
科学领域:
- 认知神经科学 认知神经科学
- 视觉感知 视觉感知 视觉感知
- 行动 选择 行动 选择
背景情况:
- 定向目标的行动往往需要从许多可能性中选择一个目标.
- 注意力控制框架包括感知突出性,当前目标和选择历史.
- 将选择历史与视觉指导行动联系在一起的机制尚不清楚.
研究的目的:
- 调查选择历史和视觉指导行动之间的相互作用.
- 解开先前目标和分散注意力的特征对行动选择的影响.
主要方法:
- 采用了一个初始化-的-popout (PoP) 的模式.
- 使用连续跟踪达到运动.
- 应用计算建模和主要组件回归.
主要成果:
- 达到的运动受到先前目标特征的吸引和先前分心特征的排斥的影响.
- 干扰因子抑制影响到达目标选择,而不是目标促进.
- 计算模型支持一个机制,在这种机制中,干扰器历史先于目标历史影响.
结论:
- 之前的选择历史动态调节目标促进和分散干扰因子的抑制,以实现成功的目标导向行动.
- 选择历史在指导复杂视觉环境中的行动中起着至关重要的作用.
- 综合方法是必要的,以了解视觉注意力和适应性行动之间的联系.
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