PT  - JOURNAL ARTICLE
AU  - Rachel Ege
AU  - A. John Van Opstal
AU  - Marc M. Van Wanrooij
TI  - Perceived target range shapes human sound-localization behavior
AID  - 10.1523/ENEURO.0111-18.2019
DP  - 2019 Mar 13
TA  - eneuro
PG  - ENEURO.0111-18.2019
4099  - http://www.eneuro.org/content/early/2019/03/13/ENEURO.0111-18.2019.short
4100  - http://www.eneuro.org/content/early/2019/03/13/ENEURO.0111-18.2019.full
AB  - The auditory system relies on binaural differences and spectral pinna cues to localize sounds in azimuth and elevation. However, the acoustic input can be unreliable, due to uncertainty about the environment, and neural noise. A possible strategy to reduce sound-location uncertainty is to integrate the sensory observations with sensorimotor information from previous experience, to infer where sounds are more likely to occur. We investigated whether and how human sound localization performance is affected by the spatial distribution of target sounds, and changes thereof. We tested three different open-loop paradigms, in which we varied the spatial range of sounds in different ways. For the narrowest ranges, target-response gains were highly idiosyncratic and deviated from an optimal gain predicted by error-minimization; in the horizontal plane the deviation typically consisted of a response overshoot. Moreover, participants adjusted their behavior by rapidly adapting their gain to the target range, both in elevation and in azimuth, yielding behavior closer to optimal for larger target ranges. Notably, gain changes occurred without any exogenous feedback about performance. We discuss how the findings can be explained by a sub-optimal model in which the motor-control system reduces its response error across trials to within an acceptable range – rather than strictly minimizing the error.Significance statement Sensory observations can be noisy, leading to uncertainty in perceptual inferences and variable estimation errors. Theoretically, to reduce uncertainty, sensory information could be integrated with knowledge from prior experience, and with feedback about one’s own response behavior. Here we show, that for a basic and accurate sensorimotor task such as sound localization, humans indeed rely on perceived experience in the absence of exogenous feedback, as they rapidly changed their response sensitivity to experimental variations in the spatial distribution of targets. We argue that the auditory system reduces its estimated localization error close to its expected minimum across trials, allowing for idiosyncratic sub-optimal target response gains.