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Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers
by
Weinreb, Eyal
, Levina, Anna
, Segal, Menahem
, Moses, Elisha
, Sukenik, Nirit
, Vinogradov, Oleg
in
Biological Sciences
/ Biophysics and Computational Biology
/ Neuroscience
/ Physical Sciences
2021
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Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers
by
Weinreb, Eyal
, Levina, Anna
, Segal, Menahem
, Moses, Elisha
, Sukenik, Nirit
, Vinogradov, Oleg
in
Biological Sciences
/ Biophysics and Computational Biology
/ Neuroscience
/ Physical Sciences
2021
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Do you wish to request the book?
Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers
by
Weinreb, Eyal
, Levina, Anna
, Segal, Menahem
, Moses, Elisha
, Sukenik, Nirit
, Vinogradov, Oleg
in
Biological Sciences
/ Biophysics and Computational Biology
/ Neuroscience
/ Physical Sciences
2021
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Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers
Journal Article
Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers
2021
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Overview
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.
Publisher
National Academy of Sciences
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