Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics

Homeostasis is indispensable to counteract the destabilizing effects of Hebbian plasticity. Although it is commonly assumed that homeostasis modulates synaptic strength, membrane excitability, and firing rates, its role at the neural circuit and network level is unknown. Here, we identify changes in...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 117; no. 39; pp. 24514 - 24525
Main Authors Wu, Yue Kris, Hengen, Keith B., Turrigiano, Gina G., Gjorgjieva, Julijana
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 29.09.2020
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Summary:Homeostasis is indispensable to counteract the destabilizing effects of Hebbian plasticity. Although it is commonly assumed that homeostasis modulates synaptic strength, membrane excitability, and firing rates, its role at the neural circuit and network level is unknown. Here, we identify changes in higher-order network properties of freely behaving rodents during prolonged visual deprivation. Strikingly, our data reveal that functional pairwise correlations and their structure are subject to homeostatic regulation. Using a computational model, we demonstrate that the interplay of different plasticity and homeostatic mechanisms can capture the initial drop and delayed recovery of firing rates and correlations observed experimentally. Moreover, our model indicates that synaptic scaling is crucial for the recovery of correlations and network structure, while intrinsic plasticity is essential for the rebound of firing rates, suggesting that synaptic scaling and intrinsic plasticity can serve distinct functions in homeostatically regulating network dynamics.
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Edited by Terrence J. Sejnowski, Salk Institute for Biological Studies, La Jolla, CA, and approved August 04, 2020 (received for review October 20, 2019)
Author contributions: Y.K.W. and J.G. designed research; Y.K.W. performed research; Y.K.W., K.B.H., and J.G. contributed new reagents/analytic tools; Y.K.W. and J.G. analyzed data; Y.K.W. and J.G. wrote the paper; K.B.H. and G.G.T. provided experimental data; and G.G.T. provided input during writing of the paper.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1918368117