Lslipski

Principles-of-fMRI-1

This repo contains jupyter notebooks corresponding to notes and code created while studying the the following coursera course

Grand_Sentence

A life-long effort to write the perfect sentence

cai_practice

canlab_analysis

CANlab_help_examples

How-to examples that publish HTML files with code and output

CanlabCore

For an introduction to how to use these tools, go here:

Computational_Neuroscience

Course notes and programs written for the computational neuroscience coursera course

Data-Science-with-Python

This repo contains sample code from the below coursera course as well as general use jupyter notebooks and associated files for working on data science projects in python

npssr_code

A study of using the neurological pain signature and non-negative matrix factorization components to classify neural representations of pain regulation

olp4cbp_hyperalignment

Using hyperalignment to investigate the neural representation of chronic low back pain in 200 patients and controls

trogan1

The first edition of the STAND Haiti patient tracking system

cpasr

fgf

Friendsgiving Data Analysis Notebooks

haxby_computational_methods

Personal repository for Jim Haxby's 2019-2020 computational methods course

InnovatorsInCogNeuro.github.io

Innovators in Cognitive Neuroscience webpage

lukeR

Principles-of-fMRI-2

This repo contains jupyter notebooks corresponding to notes and code created while studying the following coursera course

second_level_analysis

Various notebooks for concepts used in second level neuroimaging analysis. Especially using the tools found here: https://canlab.github.io/

self-ref-beh

stats

Scripts for PBS 110 psych stats course, Fall of 2020