I work in research, in the area of computational and cognitive neuroscience. Below are some quick links to projects of interest.
You can also find information on my personal website, and/or check out a map of my work here on Github.
- specparam: parameterizing neural power spectra [Docs, Repo, Paper]
- spiketools: analyzing single-unit neural data [Docs, Repo, Paper]
- neurodsp: neural digital signal processing [Docs, Repo, Paper]
- lisc: collecting & analyzing scientific literature [Docs, Repo, Paper]
- AperiodicHistory: a historical overview of studies of aperiodic neural activity [Repo, Preprint]
- AperiodicClinical: a review of clinical investigations of aperiodic neural activity [Repo, Preprint]
- AperiodicMethods: methodological investigations for measuring aperiodic activity in neural data [Site, Repo, Preprint]
- OscillationMethods: methodological considerations for studying neural oscillations [Site, Repo, Paper]
- ERPscanr: automated meta-analysis of the event-related potential literature [Site, Repo, Paper]
- Band Ratios: methodological properties of electrophysiological band ratio measures [Site, Repo, Paper]
- Human Single-Unit Pipeline: a pipeline for projects analyzing single-unit activity collected from humans [Site]
- StructuredScience: a collection of tools and resources for organized computational science [Site]
- SigViz: animated visualizers to for exploring digital signal processing [Site]
- OpenLists: lists of openly available resources on a range of topics [Site]
- Introductory Python: introduction to the Python programming language [Site, Course]
- Data Science in Practice: introduction to data science in Python [Site, Course, Paper]