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Context-Dependence and Context-Invariance in the Neural Coding of Intentional Action

机译:意图动作的神经编码中的上下文依赖和上下文不变性

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摘要

Maintaining intentions over time is fundamental to goal-directed action, and previous research demonstrated that intentions are encoded and maintained in a fronto-parietal network including e.g., the dlPFC and IPS. Yet, intention maintenance is highly challenging in the constantly changing environments we experience every day. While we might have formed an intention under specific conditions, this context can change rapidly and unexpectedly. Some suggested that intentions representations in the fronto-parietal cortex change flexibly when external demands change (context-dependent coding). Others suggested that these representations are encoded in an abstract format that is not affected by changes in external demands (context-invariant coding). Here, I will first outline an analysis approach using multivariate pattern analysis of fMRI data to comprehensively assess the context-dependence / invariance of intention representations in the fronto-parietal cortex. I will then highlight some research following the proposed analysis strategy. Results to date are mixed, showing context-dependence in some, but context-invariance in other cases. In an attempt to synthesize these somewhat divergent results, I will argue that depending on characteristics of the intentions as well as the environment, intentions can either be encoded in a context-dependent or a context-invariant format. This enables us to achieve both stability and flexibility of behavior under constantly changing external demands.
机译:随着时间的推移保持意图是目标导向行动的基础,先前的研究表明,意图是在包括dlPFC和IPS在内的额顶网络中编码和保持的。然而,在我们每天经历的不断变化的环境中,意图维护非常具有挑战性。尽管我们可能在特定条件下形成了意图,但这种情况可能会迅速而出乎意料地发生变化。一些人建议,当外部需求变化时,额顶皮质中的意图表示会灵活变化(取决于上下文的编码)。其他人则建议将这些表示形式以不受外部需求变化影响的抽象格式进行编码(上下文不变编码)。在这里,我将首先概述一种使用fMRI数据的多模式分析的分析方法,以全面评估额顶皮质中意图表示的上下文相关性/不变性。然后,我将根据建议的分析策略重点介绍一些研究。迄今为止的结果是混合的,在某些情况下显示上下文相关,而在其他情况下则显示上下文不变。为了合成这些稍微不同的结果,我将争辩说,根据意图和环境的特征,意图可以以上下文相关或上下文不变的格式进行编码。这使我们能够在不断变化的外部需求下实现行为的稳定性和灵活性。

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