Here's a place to keep track of some projects that I'm currently working on, past and present.
Below is a list of papers and proceedings I've published. You can check out the full list at my google scholar page here.
- Rapid tuning shifts in human auditory cortex enhance speech intelligibility. CR Holdgraf, W De Heer, B Pasley, J Rieger, N Crone, JJ Lin, RT Knight, .... Nature Communications 7, 2016
- Evidence for Predictive Coding in Human Auditory Cortex. C Holdgraf, J Ridger, B Pasley, R Knight, F Theunissen. Society for Neuroscience, 2015
- Decoding spectrotemporal features of overt and covert speech from the human cortex. S Martin, P Brunner, C Holdgraf, HJ Heinze, NE Crone, J Rieger, .... Frontiers in neuroengineering 7, 14, 2014
- Combined process automation for large-scale EEG analysis. JL Sfondouris, TM Quebedeaux, C Holdgraf, AE Musto. Computers in biology and medicine 42 (1), 129-134, 2012
- I recently published a paper that uses encoding models of brain activity to detect a change in how your auditory cortex tunes itself to speech in order to understand noisy speech.
- I'm working on an introduction to data science in cognitive neuroscience class for undergraduates
- I'm writing a tutorial/methods paper along with example jupyter notebooks on predictive models for cognitive neuroscience.
- I'm working to build an open course in data science for neuroscience to be a public repository of tutorials and how-tos on studying the brain.
Meta- and Open-Science Projects
- The docathon is a week-long hackathon centered around improving documentation in the open-source world.
- I've been an advisor and manager for the UC Berkeley Data8 connector courses, which aim to teach students how data science is used in scientific fields.
- I'm also an instructor for software carpentry, which aims to teach scientists how to code and analyze their data more effectively.
Alternatively, if you want an old-fashioned CV, you can find a sort of up-to-date one here