We aim to further enhance model development with NetPyNE’s “batch” subpackage by refactoring the code base for ease of use and scalability, then use the improved batch subpackage to explore and typify the effectiveness of various search algorithms (random, population based, various posterior based…) on a diverse model repository including: rodent motor(M1), rodent somatosensory(S1), and macaque auditory (A1) thalamocortical circuits to make NetPyNE’s capabilities more efficient for computational neuroscience research.