Constructing and Forgetting Temporal Context in the Human Cerebral Cortex
Constructing and Forgetting Temporal Context in the Human Cerebral Cortex
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DOI：
10.1016/j.neuron.2020.02.013
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发表时间：
2020-05-20
期刊：
影响因子：
16.2
通讯作者：
Honey, Christopher J.
中科院分区：
文献类型：
--
作者：
Chien, Hsiang-Yun Sherry;Honey, Christopher J.
几秒钟前的信息如何影响新皮层对新输入的反应？我们发现，当两组参与者听到叙述中的同一句话时，前面有不同的上下文，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：感觉皮层对齐最快，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。什么样的计算可以解释这种等级时间组织？线性整合模型预测，整合新信息较慢的区域也应该较慢地忘记旧信息。然而，我们发现高阶区域可以迅速忘记先前的上下文。相反，来自皮层层级的数据由一个模型捕获，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积分，并且这种积分由局部预测误差进行门控。
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.