Previous studies suggested that acoustic stimulation can be used to modulate cognition, to reduce anxiety level as well as to enhance mood. In this study we investigated whether acoustic stimulation can modulate response inhibition and error monitoring in a continuous performance task. Using the Go-NoGo paradigm in healthy adults during MEG recordings, Mazaheri et al. (2009) was able to predict errors during response inhibition by theta-alpha coupling. Thus, it seems likely that frontal theta activity after an error may boost an adjustment of the mental state of individuals towards more preparatory alertness resulting in alpha decrease and better sustained performance. Here, we investigated whether acoustic stimulation can modulate theta-alpha-coupling and thereby have an effect on error processing. 20 healthy young adults (18–30 years) participated in the crossover study. They ran through four conditions (randomized order): no stimulation, white noise, binaural beats at a frequency of 6 Hz and monaural beats at a frequency of 6 Hz. For all time points first, an EEG recording at rest with eyes closed (“Resting state”-EEG, 5 min) with stimulation (at 3 conditions) was performed. This is followed by an acoustic stimulation simultaneously with the implementation of an inhibition task (Go-NoGo task). Go/NoGo task: Each stimulus (numbers 1–9) was displayed for 0.2 s and the inter-trial interval was 1.5 s. Participants were asked to respond to all digits except of “5” by pressing a button with the right index finger. Digits “1–4” and “6–9” are thus the Go stimuli and digit “5” the NoGo stimulus. Correct Go-trials were categorized as “hits”, correct No-Go-trials as “withholds”, and responses on No-Go as “false alarms”. Stimulation: Acoustic stimulation was performed in different ways. Binaural beats were generated by presenting one ear with a different tone than the other ear. The difference in frequencies, in our case 6 Hz, results in a beating sensation. Whereas the prior superimposition of two tones with different frequencies result in a monaural beat, again at 6 Hz, that is then presented to the subject. Additionally we use white noise and no noise as a control condition. Preliminary behavioral results show a tendency towards improvement of the number of false alarms during the three noise conditions. However, there are no significant findings. Looking at reaction times in false alarms, stimulation conditions have longer reaction times than no stimulation. Especially white noise shows longer reaction times while having the lowest variability in reaction times. Additionally the monaural beat stands out with a very high variability in reaction times. Our behavioral results so far show that acoustic stimulation could have the potential of modulating behavioral responses. So far, white noise seems to be a stimulation that might be able to stabilize performance variability in subjects. As a next step EEG-data as correlates of the behavioral data will be analyzed. These results shall be the basis for further studies, for example, with ADHD subjects.