Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions
Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions
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DOI：
10.1016/j.neuron.2019.08.025
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发表时间：
2019-11-20
期刊：
影响因子：
16.2
通讯作者：
Brody, Carlos D.
中科院分区：
文献类型：
--
作者：
Pinto, Lucas;Rajan, Kanaka;Brody, Carlos D.
整个大脑皮层的神经活动与感知决策相关，但失活研究表明，只有少数区域对这些行为是必要的。在这里，我们表明，所需的皮层区域的数量和它们的动态变化与不同的认知计算相关的任务。在视觉引导的虚拟T-迷宫任务中，只有少数背侧皮层区域的双侧失活损害性能。相比之下，在需要证据积累和/或刺激后记忆的任务中，广泛的皮层区域的失活与不同模式的行为缺陷跨区域和任务的性能受损。宽场成像显示，在积累和视觉引导的任务中，Ca 2+活动的广泛斜坡。此外，在积累过程中，不同区域的活动分布更加多样化，导致区域间相关性降低。使用一个训练来执行类似任务的模块化递归神经网络模型，我们认为仅计算策略的差异就可以解释这些发现。
Neural activity throughout the cortex is correlated with perceptual decisions, but inactivation studies suggest that only a small number of areas are necessary for these behaviors. Here we show that the number of required cortical areas and their dynamics vary across related tasks with different cognitive computations. In a visually guided virtual T-maze task, bilateral inactivation of only a few dorsal cortical regions impaired performance. In contrast, in tasks requiring evidence accumulation and/or post-stimulus memory, performance was impaired by inactivation of widespread cortical areas with diverse patterns of behavioral deficits across areas and tasks. Wide-field imaging revealed widespread ramps of Ca2+ activity during the accumulation and visually guided tasks. Additionally, during accumulation, different regions had more diverse activity profiles, leading to reduced inter-area correlations. Using a modular recurrent neural network model trained to perform analogous tasks, we argue that differences in computational strategies alone could explain these findings.