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耦合振荡协调视觉皮层中的选择性信息传递。

Coupled oscillations orchestrate selective information transmission in visual cortex.

作者信息

Khamechian Mohammad Bagher, Daliri Mohammad Reza, Treue Stefan, Esghaei Moein

机构信息

Neuroscience and Neuroengineering Research Laboratory, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology (IUST), Dardasht St., District 8, Tehran 16846-13114, Iran.

School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Opposite the ARAJ, Artesh Highway, Aghdassieh, Tehran 1956836613, Iran.

出版信息

PNAS Nexus. 2024 Jul 31;3(8):pgae288. doi: 10.1093/pnasnexus/pgae288. eCollection 2024 Aug.

DOI:10.1093/pnasnexus/pgae288
PMID:39161729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11331424/
Abstract

Performing visually guided behavior involves flexible routing of sensory information towards associative areas. We hypothesize that in visual cortical areas, this routing is shaped by a gating influence of the local neuronal population on the activity of the same population's single neurons. We analyzed beta frequencies (representing local population activity), high-gamma frequencies (representative of the activity of local clusters of neurons), and the firing of single neurons in the medial temporal (MT) area of behaving rhesus monkeys. Our results show an influence of beta activity on single neurons, predictive of behavioral performance. Similarly, the temporal dependence of high-gamma on beta predicts behavioral performance. These demonstrate a unidirectional influence of network-level neural dynamics on single-neuron activity, preferentially routing relevant information. This demonstration of a local top-down influence unveils a previously unexplored perspective onto a core feature of cortical information processing: the selective transmission of sensory information to downstream areas based on behavioral relevance.

摘要

执行视觉引导行为涉及将感觉信息灵活地路由到联合区域。我们假设在视觉皮层区域，这种路由是由局部神经元群体对同一群体单个神经元活动的门控影响所塑造的。我们分析了恒河猴在行为过程中内侧颞叶（MT）区域的β频率（代表局部群体活动）、高γ频率（代表局部神经元簇的活动）以及单个神经元的放电情况。我们的结果显示β活动对单个神经元有影响，可预测行为表现。同样，高γ对β的时间依赖性也可预测行为表现。这些结果证明了网络水平神经动力学对单个神经元活动的单向影响，优先路由相关信息。这种局部自上而下影响的证明揭示了一个以前未被探索的关于皮层信息处理核心特征的观点：根据行为相关性将感觉信息选择性地传输到下游区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/8adcd2089d21/pgae288f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/d245b01939e8/pgae288f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/4ad3c48f1894/pgae288f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/5dd9845f50eb/pgae288f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/0ae6dae578ea/pgae288f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/918368f88eaf/pgae288f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/8adcd2089d21/pgae288f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/d245b01939e8/pgae288f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/3c8ce57baa3f/pgae288f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/4ad3c48f1894/pgae288f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/5dd9845f50eb/pgae288f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/0ae6dae578ea/pgae288f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/918368f88eaf/pgae288f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b1/11331424/8adcd2089d21/pgae288f7.jpg

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