Cem Tabakci's starred repositories
cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
course-content
NMA Computational Neuroscience course
the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science
continual_learning_papers
Relevant papers in Continual Learning
LaPreprint
📝 A nicely formatted LaTeX preprint template
bids-specification
Brain Imaging Data Structure (BIDS) Specification
continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
statistical_inferences
Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens
MI-EEG-1D-CNN
A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430
Seizure-Detection-Tutorials
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
A-Psychologists-Guide-to-R
A repository containing the course notes and worked examples for a six week course in the R statistical programming language aimed at helping psychology students and faculty to learn R. This course was taught live at the University of Melbourne, Australia in 2016.
NSCI801-QuantNeuro
NSCI 801 (Queen's U) Quantitative Neuroscience course materials
bayescogsci
Draft of book entitled An Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
statsthinking21
Main web site for Statistical Thinking for the 21st Century
princeton-mvpa-toolbox
Automatically exported from code.google.com/p/princeton-mvpa-toolbox
BuildingExperimentsPsychoPy_materials
The materials that go with the book Building Experiments in PsychoPy (Peirce and MacAskill)
hddm_tutorial
Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)