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Predicting episodic memory formation for movie events

机译:预测电影事件的情景记忆形成

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Episodic memories are long lasting and full of detail, yet imperfect and malleable. We quantitatively evaluated recollection of short audiovisual segments from movies as a proxy to real-life memory formation in 161 subjects at 15?minutes up to a year after encoding. Memories were reproducible within and across individuals, showed the typical decay with time elapsed between encoding and testing, were fallible yet accurate, and were insensitive to low-level stimulus manipulations but sensitive to high-level stimulus properties. Remarkably, memorability was also high for single movie frames, even one year post-encoding. To evaluate what determines the efficacy of long-term memory formation, we developed an extensive set of content annotations that included actions, emotional valence, visual cues and auditory cues. These annotations enabled us to document the content properties that showed a stronger correlation with recognition memory and to build a machine-learning computational model that accounted for episodic memory formation in single events for group averages and individual subjects with an accuracy of up to 80%. These results provide initial steps towards the development of a quantitative computational theory capable of explaining the subjective filtering steps that lead to how humans learn and consolidate memories.
机译:情景记忆是持久的,充满细节,但不完美且具有延展性。我们定量评估了电影中短时视听片段的回忆,以代替编码后一年内15分钟内161个对象的真实记忆形成。记忆在个体内和个体之间是可再现的,显示出随着编码和测试之间时间的流逝而发生的典型衰减,容易出错但准确,并且对低级刺激操作不敏感,但对高级刺激特性不敏感。值得注意的是,即使是编码后一年,单个电影帧的记忆力也很高。为了评估什么因素决定了长期记忆形成的功效,我们开发了一套内容广泛的注释,其中包括动作,情绪价,视觉提示和听觉提示。这些注释使我们能够记录与识别记忆具有更强相关性的内容属性,并建立一种机器学习计算模型,该模型可解释单个事件中组平均值和单个主题的情节性记忆形成,其准确性最高可达80%。这些结果为定量计算理论的发展提供了初步步骤,该理论能够解释导致人类如何学习和巩固记忆的主观过滤步骤。

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