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ca_tarining

cpm

dyn-conn

Dynamic Connectivity pipeline scripts. So far reads in specific fMRI data by subject (exploration phase bold data), and runs it through a pipeline to spit out a binary thresholded node-node adjacency matrix for use in the Dynamic Connectivity Matlab toolbox. [IN THE WORKS]

dynamic-connectivity

Streamlined pipeline for preparing 3D Arrays of Dynamic Connectomes for Dynamic Network analysis. Python based.

fconn

Functional Connectivity

hellman

introcompneuro

This repository contains all the MATLAB files containing neuron simulation models and solutions for tutorials found in Paul Miller's Introductory Course in Computational Neuroscience.

mlindiv

Maze Learning and Individual Differences. This is a repository containing the scripts that extract, tidy, and consolidate metrics on behavioral EPrime data from the Spatial Neuroscience Lab's (Dr. Elizabeth Chrastil, UC Irvine) fMRI Maze Task Experiment. This also contains the shell scripts for qsubbing the functional data (n=113) through fmriprep.

mlindiv-1

Maze Learning - Individual Differences (MLINDIV) is an expansive project that employs neuroimaging, behavioral testing, and computational methods to tease out individual differences in spatial navigation. More specifically, this project uses MRI data obtained from nearly 100 subjects before, during, and after their participation in a maze navigation experiment to explore neurological and behavioral differences in memory, learning, decision making, and other cognitive processes. This repository is meant to hold the most up to date scripts necessary for each subproject tied to MLINDIV.

nsd-annotate

A toolkit for annotating contours and boundaries on the cortical surface.

oft

C#, PHP, and R scripts for the Open Field Task project

perception

sot

Scripts for running the Spatial Orientation Task on Unity WebGL. Will be hosted alongside spatialneuroscience.bio.uci.edu/OFT, meant for online use with our MTurk project.

tensorflow_cert_deeplearningai

Lab projects from courses in DeepLearning.AI's Tensorflow Developer Professional Certificate