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01-homework

Homework for Advanced fMRI data course at Nicolaus Copernicus University

02-homework

03-homework

04-homework

05-homework

all-contributors

✨ Recognize all contributors, not just the ones who push code ✨

amcos_booklet

LaTeX template for scientific conference booklet, or book of abstracts

ants_youtube_videos

The code and data files that accompany a 9-part lecture series on analyzing M/EEG/LFP data.

assael2022

Restoring and attributing ancient texts using deep neural networks

awesome-bci

Curated Collection of BCI resources

bids-specification

Brain Imaging Data Structure (BIDS) Specification

bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

bids-validator

Validator for the Brain Imaging Data Structure

bmd

Implementation of the Bayesian Microsaccade Detection algorithm described in Mihali, van Opheusden, and Ma, 2017, Journal of Vision

book

Sources for the DataLad handbook

brainiak-tutorials

caiman

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

cognitivemaps

complexity

Scripts needed to perform MMSE complexity analysis.

computational-modelling

Code and website accompanying Farrell & Lewandowsky's (2017) book

course-content

Summer course content for Neuromatch Academy

coursera_reinforcement_learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

cv

ds001612

eda-on-netflix---data-literacy-ws2021-22

eeg

Python toolbox for EEG analysis

eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

electrophysiology-tutorial-for-neuroscience

This is a tutorial for key data analysis steps used by neuroscientists - filtering, spike extraction, PCA, clustering, and spectral analysis. It applies to neuroscientists who deal with spikes, LFPs, EEGs and EMGs

findinglandmarks_a_publication_repository

Repository for the publication "Finding landmarks – an investigation of viewing behavior during spatial navigation in VR using a graph-theoretical analysis approach". Contains all scripts used in the publication, for example the pre-processing pipeline and graph theoretical analysis

fmri-analysis-course

Materials from fMRI data analysis course for cognitive science students.