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. Studies show that humans and animals replay past experiences in their brain. To do this, the brain creates a pattern of electrical activity for each part of a multistep experience and then plays them back in order.
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The novel tells of a year-old man who dies and wakes up back in in his year-old body. He relives his life with all his memories of the previous 25 years intact. This happens repeatedly, with the man playing out his life differently in each cycle. The novel was a bestseller in Japan. Its time-loop concept has been referenced as a precursor of Harold Ramis ' comedy-drama Groundhog Day Richard A. Lupoff explored a similar premise in his short story " ". Replay is the account of year-old radio journalist Jeff Winston, who dies of a heart attack in and awakens back in in his year-old body as a student at Atlanta 's Emory University. He then begins to relive his life with intact memories of the next 25 years, until, despite his best efforts at cardiac health, he dies of a heart attack, again, in