This page provides information about my previous life as academic faculty.
Delay discounting: interactive web apps
I have built a number of handy tools to interactively explore how discounting works. These are built using R and Shiny and the code is available here.
Bayesian analysis of delay discounting data
For people who don’t like coding
If you are a non-coder, I have produced a guide on how to run Bayesian analysis of delay discounting data using JASP. No coding required! Read about it here: https://github.com/drbenvincent/jasp_discounting.
For people who can do basic coding
I produced a package, currently implemented in Matlab, which conducts hierarchical Bayesian inference on delay discounting data. This package allows you to generate posterior distributions of discounting parameters.
Vincent, B. T. (2016). Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks. Behavior Research Methods. 48(4), 1608-1620. [pdf | code]
Since then, I have moved on to conduct Bayesian scoring of delay discounting data in Python for a number of other papers, for example here, here, and here.
Energy efficient receptive fields
rf-mono-matlab
: Matlab code to calculate receptive fields which balance a) encoding information from natural images, b) metabolic energy expense.