Excitatory/Inhibitory networks
Negative feedback is a crucial component of neuronal networks that stabilizes activity, dramatically extends dynamical repertoire, and helps to implement various computations. One of the most common types of negative feedback in brain circuits is neural inhibition.
In this project we are looking at how various excitatory-inhibitory network compositions affect neuronal dynamics. More specifically, we are modelling spontaneous activity of cultured hippocampal networks with precisely controlled excitatory-inhibitory composition.
Sub-projects:
- Effects of the cellular E/I composition on collective dynamics
- Bistability and bursting dynamics in cultured neuronal networks
- Mapping spontaneous network events in neuronal cultures
Selected presentations and publications:
- N Sukenik*,O. Vinogradov,*,E Weinreb, M Segal, A Levina** & E Moses** (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),
- Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Effects of cellular excitatory‑inhibitory composition on neuronal dynamics. 28th Annual Computational Neuroscience Meeting (CNS*2019), Barcelona, Spain (2019)
- Vinogradov, O.; Sukenik, N.; Moses, E.; Levina, A.: Bursting behavior in sparse random networks of excitatory and inhibitory neurons. Bernstein Conference 2018, Berlin, Germany (2018)