Effects of neuromodulation on excitatory-inhibitory neural network dynamics depend on network connectivity structure (Q2022712)

The proposed investigation is done by means of a computer simulation of the excitatory-inhibitory E-I network dynamics where the neurons are modeled by a Hodkin-Huxley system of partial differential equations. The effect of the neuromodulator acetylcholine (Ach) is simulated by blocking an M-type potassium current in the neuron models. The network structure, neuron models, the measures quantifying the dynamics of the network activity and simulation details are presented in the second section. The E-I networks consist of 1000 neurons, 800 excitatory and 200 inhibitory. One investigates excitatory and inhibitory cells with high, Type I, or low, Type II, modulatory tone. Different options of varying network connectivity structures are considered. Interpretations based on numerical results, tables, graphs are largely discussed in the third section. Final comments and a short review of neighboring results can be found in the fourth section.