Excerpts were normalized so that their root-mean-square power values were equal, and a 50 ms quarter-sine ramp was applied at the start and end of each excerpt to suppress transients. Spectrograms for all 25 stimuli showing structural differences in the time-frequency characteristics of the five musical genres.Įach stimulus was a six second excerpt from the middle of a distinct musical piece. They were five natural, stereo, high-quality music stimuli (6 s duration 44.1 kHz sampling rate) for each of five different musical genres: 1) Ambient, 2) Roots Country 3) Heavy Metal, 4) 50s Rock’n’Roll, and 5) Symphonic (seeįigure 1 for details). StimulusĪll stimuli employed in this study are identical to those used in a previous study. All data acquisitions were jointly approved by the ethics committee of the Otto-von-Guericke-University of Magdeburg, Germany (approval reference 37/13). They were fully instructed about the nature of the study and were paid a total of 100 EUR for their participation, which included the previously reported data acquisitions, as well as the one described herein. The participants in this data release are identical to those previously reported. Lastly, these data can also serve as a public resource for benchmarking algorithms for functional alignment, or other analyses, and thus, further the availability of resources for the investigation of real-life cognitionĪcquisition of the data described herein was part of a previously published studyġ, and took place in close temporal proximity (no more than a few weeks apart).
It is hoped that providing these example features will catalyze discoveries of auditory stimulus codes in neural populations. The views are mapped to different perceptually-motivated scales (mel and decibel scales) and via a decorrelating linear transformation (DCT-II). To this end, we include extracted audio features that represent the time-frequency information of each stimulus in four different views. For example, the development of encoding models for cortical representations of music in complex auditory stimuli (the audio-movie contains several dozen musical excerpts from a broad range of genres). In conjuction with the previous data releases, it will also further expand the continuum of research question that can be approached with the joint dataset.
The present data release enables comparative studies of the representation of musical genres (spectrum, timbre, vocal content) with ultra high-field, high resolution fMRI data from a larger sample of participants. We employed a proven paradigm and stimuli that have been previously shown to enable investigation of distributed population codes of musical timbre in bilateral superior temporal cortices Here we further amend this dataset with additional high-resolution fMRI data from the same participants on the perception of musical genres. Recently, we have extended this initial release with a detailed annotation of the emotional content of the stimulusĢ to broaden the range of research questions that could be addressed with these data. Previously, we have released a large, high-resolution, 7 Tesla fMRI dataset on the processing of natural auditory stimuli – a two-hour audio movieġ.
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