计算机科学
人工智能
代表(政治)
背景(考古学)
情景记忆
跟踪(教育)
人工神经网络
机器学习
神经系统
认知科学
动力学(音乐)
模式识别(心理学)
作者
Sze Chai Kwok,Regina C. Lapate,John J. Sakon,Virginie van Wassenhove,Gui Xue,Jie Zheng
标识
DOI:10.1523/jneurosci.1397-25.2025
摘要
Inspired by recent discoveries of neural populations that track time for specific moments (time cells) and elapsed durations (temporal context and periodic time cells), this review, based on a minisymposium presented at the 2025 annual meeting of the Society for Neuroscience, brings together macro-, meso-, and micro-scale neural evidence to formulate hypotheses about how episodic time—the tracking and organizing of events in time as we experience, store, and retrieve them from memory—is coded and processed in the mammalian brain. We also discuss computational principles and relationships to other related phenomena such as memory replay and emotional states.
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