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| DOI | 10.1073/pnas.2101043118 |
| Recurrent dynamics in the cerebral cortex: Integration of sensory evidence with stored knowledge | |
| Singer W. | |
| 发表日期 | 2021 |
| ISSN | 0027-8424 |
| 卷号 | 118期号:33 |
| 英文摘要 | Current concepts of sensory processing in the cerebral cortex emphasize serial extraction and recombination of features in hierarchically structured feed-forward networks in order to capture the relations among the components of perceptual objects. These concepts are implemented in convolutional deep learning networks and have been validated by the astounding similarities between the functional properties of artificial systems and their natural counterparts. However, cortical architectures also display an abundance of recurrent coupling within and between the layers of the processing hierarchy. This massive recurrence gives rise to highly complex dynamics whose putative function is poorly understood. Here a concept is proposed that assigns specific functions to the dynamics of cortical networks and combines, in a unifying approach, the respective advantages of recurrent and feed-forward processing. It is proposed that the priors about regularities of the world are stored in the weight distributions of feed-forward and recurrent connections and that the high-dimensional, dynamic space provided by recurrent interactions is exploited for computations. These comprise the ultrafast matching of sensory evidence with the priors covertly represented in the correlation structure of spontaneous activity and the context-dependent grouping of feature constellations characterizing natural objects. The concept posits that information is encoded not only in the discharge frequency of neurons but also in the precise timing relations among the discharges. Results of experiments designed to test the predictions derived from this concept support the hypothesis that cerebral cortex exploits the high-dimensional recurrent dynamics for computations serving predictive coding. © 2021 National Academy of Sciences. All rights reserved. |
| 英文关键词 | Neuronal dynamics; Predictive coding; Rate codes; Recurrent networks; Temporal codes |
| 语种 | 英语 |
| scopus关键词 | article; brain cortex; prediction; structure activity relation |
| 来源期刊 | Proceedings of the National Academy of Sciences of the United States of America
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/238831 |
| 作者单位 | Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, 60438, Germany; Max Planck Institute for Brain Research, Frankfurt am Main, 60438, Germany; Frankfurt Institute for Advanced Studies, Frankfurt am Main, 60438, Germany |
| 推荐引用方式 GB/T 7714 | Singer W.. Recurrent dynamics in the cerebral cortex: Integration of sensory evidence with stored knowledge[J],2021,118(33). |
| APA | Singer W..(2021).Recurrent dynamics in the cerebral cortex: Integration of sensory evidence with stored knowledge.Proceedings of the National Academy of Sciences of the United States of America,118(33). |
| MLA | Singer W.."Recurrent dynamics in the cerebral cortex: Integration of sensory evidence with stored knowledge".Proceedings of the National Academy of Sciences of the United States of America 118.33(2021). |
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