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次级运动整合作为感觉运动决策的最终仲裁者。

Secondary motor integration as a final arbiter in sensorimotor decision-making.

机构信息

School of Psychology and Neuroscience, University of Glasgow, Glasgow, United Kingdom.

Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.

出版信息

PLoS Biol. 2023 Jul 17;21(7):e3002200. doi: 10.1371/journal.pbio.3002200. eCollection 2023 Jul.

Abstract

Sensorimotor decision-making is believed to involve a process of accumulating sensory evidence over time. While current theories posit a single accumulation process prior to planning an overt motor response, here, we propose an active role of motor processes in decision formation via a secondary leaky motor accumulation stage. The motor leak adapts the "memory" with which this secondary accumulator reintegrates the primary accumulated sensory evidence, thus adjusting the temporal smoothing in the motor evidence and, correspondingly, the lag between the primary and motor accumulators. We compare this framework against different single accumulator variants using formal model comparison, fitting choice, and response times in a task where human observers made categorical decisions about a noisy sequence of images, under different speed-accuracy trade-off instructions. We show that, rather than boundary adjustments (controlling the amount of evidence accumulated for decision commitment), adjustment of the leak in the secondary motor accumulator provides the better description of behavior across conditions. Importantly, we derive neural correlates of these 2 integration processes from electroencephalography data recorded during the same task and show that these neural correlates adhere to the neural response profiles predicted by the model. This framework thus provides a neurobiologically plausible description of sensorimotor decision-making that captures emerging evidence of the active role of motor processes in choice behavior.

摘要

感觉运动决策被认为涉及一个随时间积累感觉证据的过程。虽然目前的理论假设在计划公开的运动反应之前存在一个单一的积累过程,但在这里,我们通过一个二级漏动作积累阶段提出了运动过程在决策形成中的主动作用。该运动泄漏调整了二次累加器重新整合主要累加的感觉证据的“记忆”,从而调整了运动证据中的时间平滑度,相应地调整了主要和运动累加器之间的滞后。我们使用正式的模型比较、拟合选择和响应时间,将该框架与不同的单累加器变体进行比较,在该任务中,人类观察者根据不同的速度-准确性权衡指令,对嘈杂的图像序列进行分类决策。我们表明,调整二次运动累加器中的泄漏而不是边界调整(控制用于决策承诺的证据量)可以更好地描述不同条件下的行为。重要的是,我们从同一任务中记录的脑电图数据中得出了这些 2 个整合过程的神经相关物,并表明这些神经相关物符合模型预测的神经反应特征。因此,该框架为感觉运动决策提供了一个神经生物学上合理的描述,该描述捕捉到了运动过程在选择行为中的主动作用的新证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6df8/10393169/2b2a9f65a813/pbio.3002200.g001.jpg

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