Research


I spent some time as a Visiting Scholar at the Redwood Center for Theoretical Neuroscience at UC Berkeley, which produced some publications (see Google Scholar).

My core research interest is in understanding how the brain works when viewed as an information processing system, with a particular focus on the neural circuits underlying visual perception. I am also interested in human organizations when viewed as systems, and the use of technology to implement intelligent learning behavior.

My most recent neuroscience work has focused on biologically-realistic spiking network models of visual pattern detection and sparse code formation. Sparse coding is a method for representing information that appears to be used by the brain. Its key characteristic is that very few representation variables (neurons) are active at any given moment.

One research project is E-I Net, a neural circuit model and simulation engine written in MATLAB that learns sparse code patterns using an approach inspired by the brain's visual cortex. This was written up in a paper published in The Journal of Neuroscience (abstract, PDF).

Lately I have been answering neuroscience questions on the Q&A website Quora and was selected as a "Top Writer" for 2017, 2016, 2014, and 2013. See representative answers.

Over 60 Quora answers have been picked up and published by sites such as Forbes (20+), Huffington Post (10+), Slate (8+), and Business Insider (7+). See selected articles.

Systems neuroscience interests:

Computer science interests — machine learning:

Computer science interests — software architecture:

Attended research meetings: