Neural Network Activity: Modeling and Analysis

This lecture delves into the intricacies of neural network activity modeling and analysis, exploring strategies to mimic brain regions' responses through current injection and fiber stimulation. The discussion covers the importance of sensitivity analysis, the role of calcium concentrations in simulations, and the significance of replicating experimental conditions. The lecture emphasizes the need to validate network models, make predictions, and explore complex scenarios that are challenging to replicate experimentally, shedding light on the interplay between model parameters and emergent properties.