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在人类大脑皮层中构建和遗忘时间上下文。

Constructing and Forgetting Temporal Context in the Human Cerebral Cortex.

机构信息

Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA.

Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD 21218, USA.

出版信息

Neuron. 2020 May 20;106(4):675-686.e11. doi: 10.1016/j.neuron.2020.02.013. Epub 2020 Mar 11.

Abstract

How does information from seconds earlier affect neocortical responses to new input? We found that when two groups of participants heard the same sentence in a narrative, preceded by different contexts, the neural responses of each group were initially different but gradually fell into alignment. We observed a hierarchical gradient: sensory cortices aligned most quickly, followed by mid-level regions, while some higher-order cortical regions took more than 10 seconds to align. What computations explain this hierarchical temporal organization? Linear integration models predict that regions that are slower to integrate new information should also be slower to forget old information. However, we found that higher-order regions could rapidly forget prior context. The data from the cortical hierarchy were instead captured by a model in which each region maintains a temporal context representation that is nonlinearly integrated with input at each moment, and this integration is gated by local prediction error.

摘要

前几秒钟的信息如何影响新输入对新皮质的反应?我们发现,当两组参与者在不同的背景下听到同一个叙述中的句子时,每组的神经反应最初是不同的,但逐渐趋于一致。我们观察到一个层次梯度:感觉皮层最快对齐,其次是中级区域,而一些高级皮层区域需要超过 10 秒才能对齐。什么计算可以解释这种分层的时间组织?线性积分模型预测,新信息集成速度较慢的区域也应该较慢地忘记旧信息。然而,我们发现,高级区域可以快速忘记先前的上下文。皮质层次结构的数据反而可以通过一个模型来捕获,在该模型中,每个区域都保持一个时间上下文表示,该表示在每个时刻与输入进行非线性整合,并且这种整合受到局部预测误差的限制。

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