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Vortrag

Balance and adaptation in neuronal systems

MPG-Autoren
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Vinogradov,  O
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Levina, A., Vinogradov, O., Sukenik, N., & Moses, E. (2022). Balance and adaptation in neuronal systems. Talk presented at NEST Conference 2022. 2022-06-23 - 2022-06-24.


Zitierlink: https://hdl.handle.net/21.11116/0000-000B-2F2D-0
Zusammenfassung
The balance of excitation and inhibition in neuronal circuits is essential for stable dynamics. This is probably
why various brain regions show distinct and highly conserved ratios of excitatory and inhibitory neurons.
However, it is unclear if biological neuronal networks with artificial ratios of inhibitory and excitatory neu-
rons would exhibit changes in dynamics. Moreover, it is unclear whether the artificial ratios would jeopardize
the balance of excitation and inhibition on a synaptic level. To investigate these questions, we recorded the
Ca-activity of hippocampal cultures with various fractions
of inhibitory neurons. All cultures developed spontaneous network bursting. The cultures with various frac-
tions of inhibitory neurons showed stable mean inter-burst intervals. However, the variance of inter-burst
intervals grew with the number of inhibitory neurons. We reproduced the results of experiments in a model
network of adaptive leaky integrate-and-fire neurons with different numbers of inhibitory neurons but the
balanced numbers of excitatory and inhibitory synapses.
Overall, our results suggest that hippocampal cultures with various cellular compositions tend to maintain
the balance of excitation and inhibition.