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  Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers

Sukenik, N., Vinogradov, O., Weinreb, E., Segal, M., Levina, A., & Moses, E. (2021). Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers. Proceedings of the National Academy of Sciences of the United States of America, 118(12): e2018459118. doi:10.1073/pnas.2018459118.

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Sukenik, N, Author
Vinogradov, O1, Author           
Weinreb, E, Author
Segal, M, Author
Levina, A1, Author           
Moses, E, Author
Affiliations:
1Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3505519              

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 Abstract: The interplay between excitation and inhibition is crucial for neuronal circuitry in the brain. Inhibitory cell fractions in the neocortex and hippocampus are typically maintained at 15 to 30%, which is assumed to be important for stable dynamics. We have studied systematically the role of precisely controlled excitatory/inhibitory (E/I) cellular ratios on network activity using mice hippocampal cultures. Surprisingly, networks with varying E/I ratios maintain stable bursting dynamics. Interburst intervals remain constant for most ratios, except in the extremes of 0 to 10% and 90 to 100% inhibitory cells. Single-cell recordings and modeling suggest that networks adapt to chronic alterations of E/I compositions by balancing E/I connectivity. Gradual blockade of inhibition substantiates the agreement between the model and experiment and defines its limits. Combining measurements of population and single-cell activity with theoretical modeling, we provide a clearer picture of how E/I balance is preserved and where it fails in living neuronal networks.

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 Dates: 2021-03
 Publication Status: Issued
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 Identifiers: DOI: 10.1073/pnas.2018459118
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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : PNAS
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: 9 Volume / Issue: 118 (12) Sequence Number: e2018459118 Start / End Page: - Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230