Method to measure the quality of a neuron model compared to recorded data
In this thesis, a method for evaluating the accuracy of mathematical neuron models is developed, with the objective to both improve the quality and the speed of parameter optimization. To evaluate the method, we used a conductance based model of the cuneate nucleus. The model behavior was evaluated against neurons recorded in vivo. A big challenge when modeling neurons is the timing of the action