Self-organization of neuronal networks

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.


Selected presentations and publications:

  • 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)