#计算机科学#Machine learning for NeuroImaging in Python
Workflows and interfaces for neuroimaging packages
Python package to access a cacophony of neuro-imaging file formats
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.
翻译 - fMRIPrep是用于预处理各种fMRI数据的强大且易于使用的管道。透明的工作流程无需人工干预，从而确保了结果的可重复性。
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
A toolbox for comparing brain maps
Graph theory analysis of brain MRI data
#计算机科学#Framework for the reproducible processing of neuroimaging data with deep learning methods
Automated anatomical brain label/shape analysis software (+ website)
BIDScoin converts your source-level neuroimaging data to BIDS
Easy to use web database for statistical maps.
#计算机科学#PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Code supporting 'Geometric constraints on human brain function'
#计算机科学#A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.
The TemplateFlow Archive - A DataLad super-dataset
Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)
Useful tools from the Network Neuroscience Lab
BrainPainter - Brain Visualisation Software