Torben Noto


Research Interests

I’m interested in using computational neuroscience to understand electrophysiological signals. In other words, if you give me an electrical recording from the brain, I want to (someday) be able to tell you about the underlying biology, network activity, cognition, and pathology underlying it. Additionally, I’m interested in algorithmic approaches to knowledge generation and validation. For instance, I built a discovery engine that can generate gene/function relationship hypotheses based on their spatial correlations in the human brain here

Stuff I do

Programming in Python and MATLAB

Digital signal processing

Statistics and Machine Learning, slowly figuring out deep learning

“Data Science”

Stuff I’ve Done

I’ve written some tutorials on basic approaches to electrophysiological analyses here Occasionally I blog about neuroscience and data science here

Someday I might even publish a paper.


  • 2016-Present Ph.D. Student, Neuroscience, Northwestern University
  • 2014-2015 Brad School (Lab manager in the Brad Voytek's Lab), UC San Diego
  • 2009-2013 B.S. in Neuroscience, Bates College
  • 2005-2009 Oregon Episcopal School, Portland, OR
  • Birth-2005 School of Hard Knocks, The Streets