Network Simulation and Activity Dynamics

This lecture covers the simulation of neural networks, including the diverse components such as ion channels, morphologies, and synapses. It explores spontaneous and evoked network activity, in-vitro and in-vivo simulations, and the importance of replicating experimental conditions. The lecture delves into the challenges of studying network dynamics, the impact of different parameters, and the necessity of sensitivity analysis. It also discusses the reasons for simulating networks, the setup of simulations, and the validation process to ensure accurate predictions.