A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data
{{output}}
We present a novel framework for automatically constraining parameters of compartmental models of neurons, given a large set of experimentally measured responses of these neurons. In experiments, intrinsic noise gives rise to a large variability (e.g., in firi... ...
