Python library for analysis of neuroanatomical data.
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Updated
Jun 11, 2024 - Python
Python library for analysis of neuroanatomical data.
Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.
Create indexes of simple shapes and find all indexed elements that intersect with a query region
Methods for estimating time-varying functional connectivity (TVFC)
Tools to work with the FlyWire connectome. Fully interoperable with navis.
Efficient meta learning of synaptic plasticity from experimental data using artificial neural network models
Simulate the C. Elegans worm brain in your browser and interact with the worm as it moves around
A prediction-based extension of network-based statistics.
LaTeX code for my PhD thesis.
Supplemental source code for Nern et al. 2024: "Connectome-driven neural inventory of a complete visual system"
Supplemental "Cell Type Explorer" for Nern et al. 2024: "Connectome-driven neural inventory of a complete visual system"
micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
A paper investigating bilateral symmetry of connectome networks.
Graph theory analysis of brain MRI data
Zebrafish Hindbrain Connectome
[WIP] Fast core functions for navis re-implemented in Cython.
A multipurpose matlab-based MEG/EEG overlay & network plotter
A (soon to be) lightweight Python package for accessing single-cell connectome networks with metadata.
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
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