The ability to accurately localize sound sources is crucial for human and other animals. An important question is: how could the brain calibrate its space map in response to changes to acoustic cues during a lifetime (e.g. in development, aging, sensory loss)? Currently we still lack a comprehensive answer. Existing models have focused on supervised learning, in which the auditory system is calibrated by exactly matching feedback signals from the precise visual system. But such cross-sensory calibration is not always feasible. It is unclear how to calibrate the auditory map when sounds come from directions outside the visual field, or how do congenitally blind people develop equivalent or in some cases superior auditory localization skills. Therefore, the question to ask is: are there alternative mechanisms beside supervised learning? More specifically, without precise cross-sensory feedback, can the auditory system efficiently calibrate it- self? To address these questions, we propose various self-calibration mechanisms using only simple uni-sensory neural components, such as a circuit composed of ipsilateral excitation and contralateral inhibition that can only distinguish left from right(e.g. circuits for the lateral superior olive). At first glance, it seems unlikely that such a simple circuit can be sufficient to calibrate a precise audi- tory space map, since the simple circuit itself is noisy and much less precise than the needed map. But surprisingly, numerical experiments show that a precise map can actually be bootstrapped from a simple circuit alone, without exact external feedback. This finding suggests an unexpected role of innate circuits for self-calibration within the auditory system, prompting further investigation via psychological and physiological experiments. It also reveals a broader di- versity of potential learning mechanisms than previously assumed. Numerous questions remain open for future research: When will a learning mechanism be activated? Are different mechanisms competitive or complementary? Answers to such questions may shed light on general learning mechanisms of sensory systems and help with clinical practices for development and rehabilitation.