# Description of problem

I am trying to randomly perturb my network with an input at a given time point - I want to figure out how far my network has diverged from its initial trajectory (i.e. without the random input). In order to do this I need to keep track of the network dynamics following input and the network dynamics had I never perturbed the system.

However my network is stochastic due to poisson input so I can’t just re-run the network. What im wondering is if there is any feature in Brian to keep multiple instances of the exact same network (with the same stochastic input) dynamics, one where I add input and one where I dont?

Thanks in advance!