Michael Waskom's starred repositories
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
cheatsheets
Official Matplotlib cheat sheets
course-content
NMA Computational Neuroscience course
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
python-versioneer
version-string management for VCS-controlled trees
sphinx-bootstrap-theme
Sphinx Bootstrap Theme
pydata-sphinx-theme
A clean, three-column Sphinx theme with Bootstrap for the PyData community
spherecluster
Clustering routines for the unit sphere
TenSimpleRulesModeling
Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.
PsyNeuLink
A block modeling system for cognitive neuroscience
ActflowToolbox
The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine how connections contribute to specific brain functions.
lab-manual
Lab manual for the Contextual Dynamics Laboratory at Dartmouth College
workshop-nyu-2019
Introductory workshop to modeling and model fitting in cognitive and computational neuroscience
Waskom_JVision_2018
Code and data from Waskom, Asfour, and Kiani (2018) J Vision
accumulation-model
Code for forward and backwards analytical solution to a drift diffusion advection model with pulse-based evidence
Waskom_CurrBiol_2018
Data and code from Waskom and Kiani (2018) Current Biology
Fit_DTB_ChoiceRT
Fit a diffusion-to-bound model to choice & reaction-time data
old_website
Stanford Psych 251 Website