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Farai Mberi's Projects

afni icon afni

Official AFNI source and documentation

anatomical-imbalance-mapping icon anatomical-imbalance-mapping

code related to publication "Morphological integration of the human brain across adolescence and adulthood", PNAS, 2021

ants icon ants

Advanced Normalization Tools (ANTs)

autolfads icon autolfads

Generalized modeling of single-trial neural population dynamics.

autolfads-tf2 icon autolfads-tf2

A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

bctpy icon bctpy

brain connectivity toolbox for python

brainconn icon brainconn

Brainconn - an R package for visualising brain connectivity data in 2D and interactive 3D

brainstat icon brainstat

A statistics and context decoding toolbox for neuroimaging.

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

connectivity_analysis icon connectivity_analysis

The scripts and templates in this respository were used in "Prenatal stress exposure and multimodal assessment of amygdala–medial prefrontal cortex connectivity in infants"

dipy icon dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

faraix icon faraix

Config files for my GitHub profile.

fod-net icon fod-net

FOD-Net: A Deep Learning Method for Fiber Orientation Distribution Angular Super Resolution

ggsegdkt icon ggsegdkt

Desikan-Killiany-Tourville cortical atlas for ggseg and ggseg3d

hmm-mar icon hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

jax-lfads icon jax-lfads

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

latexify_py icon latexify_py

Generates LaTeX math description from Python functions.

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