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The Neurodynamic Decision Variable in Human Multi-alternative Perceptual Choice

机译:人类多种替代感知选择中的神经动力学决策变量

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The neural dynamics underpinning binary perceptual decisions and their transformation into actions are well studied, but real-world decisions typically offer more than two response alternatives. How does decision-related evidence accumulation dynamically influence multiple action representations in humans? The heightened conservatism required in multiple compared with binary choice scenarios suggests a mechanism that compensates for increased uncertainty when multiple choices are present by suppressing baseline activity. Here, we tracked action representations using corticospinal excitability during four- and two-choice perceptual decisions and modeled them using a sequential sampling framework. We found that the predictions made by leaky competing accumulator models to accommodate multiple choices (i.e., reduced baseline activity to compensate increased uncertainty) were borne out by dynamic changes in human action representations. This suggests a direct and continuous influence of interacting evidence accumulators, each favoring a different decision alternative, on downstream corticospinal excitability during complex choice.
机译:研究了基于二元感知决策的神经动力学及其转变为行动,但实际决定通常提供超过两个响应替代品。决策相关的证据如何积累动态影响人类的多个行动表示?与二元选择场景相比,多重所需的保守主义提出了一种补偿通过抑制基线活动存在多种选择时增加不确定性的机制。在这里,我们在四个和两个选择的感知决策期间跟踪使用心电图兴奋的动作表示,并使用顺序采样框架建模它们。我们发现,通过人体行动表示的动态变化,泄漏竞争累积器模型的预测以适应多种选择(即,降低基线活动以补偿增加的不确定性)。这表明在复杂的选择期间,相互作用的证据累积器互动累积器的互动累积器的直接和持续的影响。

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