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Modularity and robustness of frontal cortical networks
Author(s) -
Guang Chen,
Byungwoo Kang,
Jack Lindsey,
Shaul Druckmann,
Nuo Li
Publication year - 2021
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2021.05.026
Subject(s) - robustness (evolution) , biology , neuroscience , modular design , lateralization of brain function , modularity (biology) , artificial neural network , brain activity and meditation , computer science , artificial intelligence , electroencephalography , evolutionary biology , biochemistry , gene , operating system
Neural activity underlying short-term memory is maintained by interconnected networks of brain regions. It remains unknown how brain regions interact to maintain persistent activity while exhibiting robustness to corrupt information in parts of the network. We simultaneously measured activity in large neuronal populations across mouse frontal hemispheres to probe interactions between brain regions. Activity across hemispheres was coordinated to maintain coherent short-term memory. Across mice, we uncovered individual variability in the organization of frontal cortical networks. A modular organization was required for the robustness of persistent activity to perturbations: each hemisphere retained persistent activity during perturbations of the other hemisphere, thus preventing local perturbations from spreading. A dynamic gating mechanism allowed hemispheres to coordinate coherent information while gating out corrupt information. Our results show that robust short-term memory is mediated by redundant modular representations across brain regions. Redundant modular representations naturally emerge in neural network models that learned robust dynamics.

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