anniegbryant
Hi! I'm a PhD candidate in the @DynamicsAndNeuralSystems lab, studying data science applications for neurodegenerative diseases, particularly Alzheimer's 👩🔬
University of SydneySydney, AU
Pinned Repositories
Cerebro_Viewer
A pythonic 3D viewer to visualize and plot brains and neuroimaging data
CNS_2022
CNS 2022: pyspi tutorial and workshop on highly comparative time series analysis to quantify resting-state dynamical signatures of schizophrenia
Cogitate_Connectivity_2024
Code to reproduce Bryant & Whyte submission to the 2024 Cogitate Connectivity Challenge with MEG data
CSYS5040_Demo
"Criticality in Dynamical Systems" demonstration for highly comparative time-series analysis of local dynamics and pairwise coupling in the brain
pycatch22
python implementation of catch22
pyspi
Comparative analysis of pairwise interactions in multivariate time series.
Directed_information_fMRI
fMRI_FeaturesDisorders
Code and data to reproduce Bryant et al. 2024 preprint "Extracting interpretable signatures of whole-brain dynamics through systematic comparison"
pyspi
Comparative analysis of pairwise interactions in multivariate time series.
pyspi_paper_code
All code to download datasets for the three classification case studies, compute SPIs, fit SVMs, and visualise results for pyspi publication
anniegbryant's Repositories
anniegbryant/CNS_2022
CNS 2022: pyspi tutorial and workshop on highly comparative time series analysis to quantify resting-state dynamical signatures of schizophrenia
anniegbryant/Cerebro_Viewer
A pythonic 3D viewer to visualize and plot brains and neuroimaging data
anniegbryant/Cogitate_Connectivity_2024
Code to reproduce Bryant & Whyte submission to the 2024 Cogitate Connectivity Challenge with MEG data
anniegbryant/CSYS5040_Demo
"Criticality in Dynamical Systems" demonstration for highly comparative time-series analysis of local dynamics and pairwise coupling in the brain
anniegbryant/pycatch22
python implementation of catch22
anniegbryant/pyspi
Comparative analysis of pairwise interactions in multivariate time series.
anniegbryant/catch22
catch-22: CAnonical Time-series CHaracteristics
anniegbryant/catchaMouse16
catchaMouse16: CAnonical Time-series CHaracteristics for Mouse fMRI
anniegbryant/cogitate-msp1
Repository containing code related to the Cogitate Main Scientific Paper 1.
anniegbryant/DA5020_Final_Project
DA5020 Fall 2019 Final Project
anniegbryant/DA5030_Final_Project
Final project to fulfill course requirements for DA5030: Introduction to Data Mining and Machine Learning at Northeastern University.
anniegbryant/ExSeqProcessing
anniegbryant/hctsa
Highly comparative time-series analysis
anniegbryant/humanStructureFunction
Analysis code for connecting time-series properties of BOLD dynamics to connectivity properties using human fMRI and DWI data from HCP
anniegbryant/PhD_courses
Code and reports corresponding to PhD coursework
anniegbryant/fmriprep
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
anniegbryant/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
anniegbryant/neuroparc
anniegbryant/pyspi-distribute
Simple scripts for submitting multiple parallel jobs to a HPC (using PBS)
anniegbryant/scikit-learn
scikit-learn: machine learning in Python
anniegbryant/theft
R package for Tools for Handling Extraction of Features from Time series (theft)