Digital and Cognitive Musicology Lab

Laboratory

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Related publications (48)

Information Processing Biases: The Effects of Negative Emotional Symptoms on Sampling Pleasant and Unpleasant Information

Steffen Alexander Herff

Although theories of emotion associate negative emotional symptoms with cognitive biases in information processing, they rarely specify the details. Here, we characterize cognitive biases in information processing of pleasant and unpleasant information, and how these biases covary with anxious and depressive symptoms, while controlling for general stress and cognitive ability. Forty undergraduates provided emotional symptom scores (Depression Anxiety Stress Scale-21) and performed a statistical learning task that required predicting the next sound in a long sequence of either pleasant or unpleasant naturalistic sounds (blocks). We used an information weights framework to determine if the degree of behavioral change associated with observing either confirmatory ("B" follows "A") or disconfirmatory ("B" does not follow "A") transitions differs for pleasant and unpleasant sounds. Bayesian mixed-effects models revealed that negative emotional symptom scores predicted performance as well as processing biases of pleasant and unpleasant information. Further, information weights differed between pleasant and unpleasant information, and importantly, this difference varied based on symptom scores. For example, higher depressive symptom scores predicted a bias of underutilizing disconfirmatory information in unpleasant content. These findings have implications for models of emotional disorders by offering a mechanistic explanation and formalization of the associated cognitive biases.

AMER PSYCHOLOGICAL ASSOC2022

Musical Garden Paths: Evidence for Syntactic Revision Beyond the Linguistic Domain

Gabriele Cecchetti, Steffen Alexander Herff, Martin Alois Rohrmeier

While theoretical and empirical insights suggest that the capacity to represent and process complex syntax is crucial in language as well as other domains, it is still unclear whether specific parsing mechanisms are also shared across domains. Focusing on the musical domain, we developed a novel behavioral paradigm to investigate whether a phenomenon of syntactic revision occurs in the processing of tonal melodies under analogous conditions as in language. We present the first proof-of-existence for syntactic revision in a set of tonally ambiguous melodies, supporting the relevance of syntactic representations and parsing with language-like characteristics in a nonlinguistic domain. Furthermore, we find no evidence for a modulatory effect of musical training, suggesting that a general cognitive capacity, rather than explicit knowledge and strategies, may underlie the observed phenomenon in music.

Wiley2022

We introduce phantom curves, a novel music-theoretical concept based on the discrete Fourier transform (DFT), and document the creative process that led to their discovery. In particular, we emphasize the importance of interactive web applications for music visualization and analysis. This is demonstrated using the example of the application midiVERTO which affords interactions with the pitch-class content of musical pieces encoded in MIDI format without requiring in-depth understanding of the underlying mathematics. We illustrate the analytical value of studying families of phantom curves by applying the concept to music from a Broadway musical, a video game, and a Hollywood movie. This process of discovery thus testifies to the fact that digital tools can bridge disciplinary boundaries between music theory and mathematics, and this interaction can generate new scientific knowledge.

ACM2022