Departments of Psychology and Cognitive Sciences, Hebrew University of Jerusalem, Jerusalem, Israel.
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.
Elife. 2020 Jun 17;9:e56911. doi: 10.7554/eLife.56911.
Animals and humans replay neural patterns encoding trajectories through their environment, both whilst they solve decision-making tasks and during rest. Both on-task and off-task replay are believed to contribute to flexible decision making, though how their relative contributions differ remains unclear. We investigated this question by using magnetoencephalography (MEG) to study human subjects while they performed a decision-making task that was designed to reveal the decision algorithms employed. We characterised subjects in terms of how flexibly each adjusted their choices to changes in temporal, spatial and reward structure. The more flexible a subject, the more they replayed trajectories during task performance, and this replay was coupled with re-planning of the encoded trajectories. The less flexible a subject, the more they replayed previously preferred trajectories during rest periods between task epochs. The data suggest that online and offline replay both participate in planning but support distinct decision strategies.
动物和人类在解决决策任务和休息时都会重新播放编码轨迹的神经模式。人们认为,无论是在任务期间还是在任务之外进行回放,都有助于灵活决策,但它们的相对贡献如何不同仍不清楚。我们通过使用脑磁图(MEG)来研究人类受试者,当他们执行一个旨在揭示所使用的决策算法的决策任务时,我们研究了这个问题。我们根据每个受试者如何灵活地根据时间、空间和奖励结构的变化调整他们的选择来对受试者进行特征描述。一个受试者越灵活,他们在任务执行期间就会回放越多的轨迹,并且这种回放与所编码轨迹的重新规划相关联。一个受试者越不灵活,他们在任务周期之间的休息期间就会回放以前更喜欢的轨迹越多。这些数据表明,在线回放和离线回放都参与了计划,但支持不同的决策策略。