I am a PhD candidate in Psychological and Brain Sciences at the Dartmouth Social Systems Lab with Professor Thalia Wheatley. My research focuses on communication—how emotions are communicated across the senses, and how models of the world are shared within social groups. I can be found on Twitter and I am (very occasionally) writing a blog about my research.
I am an occasional composer, and help organize Indexical along with Andrew C. Smith and David Kant.
Please feel free to email me.
- Sievers, B. & Wheatley, T. (2018). Visual and auditory brain areas share a neural code for perceived emotion. Stimuli. Software. Open access preprint.
- Sievers, B., Lee, C., Haslett, W., & Wheatley, T. (2017). A supramodal code for emotional arousal. Data, code, and materials. Open access preprint.
- Sievers, B., Parkinson, C., Walker, T., Haslett, W., & Wheatley, T. (2017). Low-level percepts predict emotion concepts across modalities and cultures. Open access preprint.
- Wheatley, T. & Sievers, B. (2015). Toward a neuroscience of social resonance. In Greene, Morrison & Seligman (Eds.) Positive Neuroscience. Oxford: Oxford University Press.
- Sievers, B., Polansky, L., Casey, M., & Wheatley, T. (2013). Music and movement share a dynamic structure that supports universal expressions of emotion. Proceedings of the National Academy of Sciences (110)1 70–75. Software. Open access PDF.
- Parkinson, C., Kohler, P., Sievers, B., & Wheatley, T. (2012). Associations between auditory pitch and visual elevation do not depend on language: Evidence from a remote population. Perception (41) 854–861. PDF.
fmri_go is open source software for presenting timelocked stimuli in an fMRI scanner and recording participant responses using PsychoPy. This software is in active development—use at your own risk.
Bouncing Ball is open source software for comparing the dynamics of music and movement as described in Sievers, B., Polansky, L., Casey, M., & Wheatley, T. (2013). Music and movement share a dynamic structure that supports universal expressions of emotion. Proceedings of the National Academy of Sciences, 110(1), 70-75.
Morphological Metrics is a Ruby implementation of metrics described in Larry Polansky's article Morphological Metrics. Larry's work on Morphological Metrics is of interest for anybody who wants to quantitatively compare contours; I came to it as a composer and continue to return regularly as a scientist.
Ruby PCSet is a simple Ruby library for performing musical pitch-class set theory operations. It has a few nice things which similar tools lack, including evaluation of some properties described by Balzano (coherence, uniqueness) and Huron (aggregate dyadic consonance).