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Dual Compartment Computational Modeling of Cortical Neurons in the Zebra Finch

While the nonlinearity and complexity of biological phenomena keeps much of the intricate details of science mysterious, computational modeling can help unveil the dynamics and functionalities of such complex phenomena by studying the various parts orchestrating the system and leading eventually to its overall behavior. In this work, we develop a dual-compartment conductance-based model to replicate the neurophysiological firing patterns and properties seen in cortical neurons of the zebra finch, which are responsible for the bird’s song. The model’s aim is to capture the timing of the action potentials in the spike train for various stimuli and the intricate details of spikes’ morphology.