ahrends

actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

AllenNeurons

biobankAccelerometerAnalysis

Extracting meaningful health information from large accelerometer datasets

DynamicFC_examples

Examples for dynamic FC analysis of fMRI data

FisherKernel

Code to construct Fisher Kernels from HMMs obtained from the HMM-MAR toolbox to predict phenotypes from models of brain dynamics.

glhmm

GLHMM_paper

Hierarchical_Bayesian_Model

mixing

Code for paper "Data and model considerations for estimating time-varying functional connectivity in fMRI" (Ahrends et al. 2021)

retreat2024

ahrends/DynamicFC_examples

Examples for dynamic FC analysis of fMRI data

ahrends/FisherKernel

Code to construct Fisher Kernels from HMMs obtained from the HMM-MAR toolbox to predict phenotypes from models of brain dynamics.

ahrends/retreat2024

ahrends/actinet

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

ahrends/AllenNeurons

ahrends/biobankAccelerometerAnalysis

Extracting meaningful health information from large accelerometer datasets

ahrends/glhmm

ahrends/GLHMM_paper

ahrends/Hierarchical_Bayesian_Model

ahrends/HMM-MAR

Toolbox for segmentation and characterisation of transient connectivity

ahrends/mixing

Code for paper "Data and model considerations for estimating time-varying functional connectivity in fMRI" (Ahrends et al. 2021)

ahrends/PyPhyPred

A toolbox for predicting phenotypes based on brain imaging data