parenthetical-e/boldR
A R package for plotting high dimensional fMRI data
Discovered public repositories for parenthetical-e in the GitHub catalog.
A R package for plotting high dimensional fMRI data
Project specific functions for finding Wheeler Lab fMRI data
Classification experiments and controls.
Use fMRI data with sklearn.
The beginnings of a toy deep learning implementation.
Some similarity measures for perceptual categories.
Experimental files for, "A Precise Problem with Model-Based fMRI".
A module for the conversion and manipulation of fidl files. Intended (mostly) for Wheeler Lab in-house use.
A set of R functions for sorting, filtering, and plotting of fMRI HRF timecourses. The goal is make visualizing various properties of the timecourses simple, while producing clean, yet dense, displays.
A specialized module for doing parametric ROI analyses of fMRI data.
Compare decision making theories baed on information accumulation across every possible 2 choice trial (of length L).
fMRI preprocessing, data, and analysis code for 'Rewards are categories?'
A module for calculating statistics, incrementally.
Erik Peterson's dissertation entitled, Rewards are categories?
Create and analyze artificial grammars
Simulate fMRI data and statistical analyses.
Simulate behavioral measures, primarily accuracy.
Fit reinforcement learning models to behavioral data
A set of functions for interfacing BrainVoyager/NIFTI files with PyML and (eventually) PyMVPA.
First, second and third order effects in behavioral (or other) data.
A set of simple functions for doing common tasks with Psychtoolbox.