Publications

Here’s a relatively recent list of my publications.

Encoding and Decoding Models in Cognitive Electrophysiology

Published in Frontiers in Systems Neuroscience, 2017 (paper link)

A practical methods paper for fitting predictive models of the brain.

Recommended citation: Holdgraf, C. R., Rieger, J. W., Micheli, C., Martin, S., Knight, R. T., & Theunissen, F. E. (2017). Encoding and decoding models in cognitive electrophysiology. Frontiers in Systems Neuroscience, 11. http://doi.org/10.3389/fnsys.2017.00061 https://www.frontiersin.org/articles/10.3389/fnsys.2017.00061/full

Portable learning environments for hands-on computational instruction using container-and cloud-based technology to teach data science.

Published in ACM International Conference Proceeding Series, 2017 (paper link)

This paper covers recent work at UC Berkeley using cloud resources and open-source tools for teaching data analytics.

Recommended citation: Holdgraf, C. R., Culich, A., Rokem, A., Deniz, F., Alegro, M., & Ushizima, D. (2017). Portable learning environments for hands-on computational instruction using container-and cloud-based technology to teach data science. In ACM International Conference Proceeding Series (Vol. Part F1287). https://arxiv.org/pdf/1703.04900.pdf

Rapid tuning shifts in human auditory cortex enhance speech intelligibility

Published in Nature Communications, 2016 (paper link)

Using machine learning and predictive models to study how the brain uses experience to understand noisy speech.

Recommended citation: Holdgraf, C. R., de Heer, W., Pasley, B. N., Rieger, J. W., Crone, N., Lin, J. J., … Theunissen, F. E. (2016). Rapid tuning shifts in human auditory cortex enhance speech intelligibility. Nature Communications, 7(May), 13654. http://doi.org/10.1038/ncomms13654 https://www.nature.com/articles/ncomms13654

Decoding spectrotemporal features of overt and covert speech from the human cortex

Published in Frontiers in Neuroengineering, 2014 (paper link)

Using machine learning and predictive models to study how the brain uses experience to understand noisy speech.

Recommended citation: Martin, S., Brunner, P., Holdgraf, C. R., Heinze, H.-J., Crone, N. E., Rieger, J. W., … Pasley, B. N. (2014). Decoding spectrotemporal features of overt and covert speech from the human cortex. Frontiers in Neuroengineering, 7(May), 14. http://doi.org/10.3389/fneng.2014.00014 https://www.frontiersin.org/articles/10.3389/fneng.2014.00014/full