  Despite the rapid advances in Brain-computer Interfacing (BCI) and continuous
effort to improve the accuracy of brain decoding systems, the urge for the
systems to reconstruct the experiences of the users has been widely
acknowledged. This urge has been investigated by some researchers during the
past years in terms of reconstruction of the naturalistic images, abstract
images, video and audio. In this study, we try to tackle this issue by
regressing the stimuli spectrogram using the spectrogram analysis of the brain
signals. The results of our regression-based method suggest the feasibility of
such reconstructions using the neuroimaging techniques that are appropriate for
out-of-lab scenarios.
