Neuroscience in a Pyshell
Keywords: neuroscience, python, medical
TL;DR: A comprehensive tutorial repository bridging coding and neuroscience, providing essential resources for MRI preprocessing and deep learning with PyTorch, tailored for both coders and neuroscientists.
Abstract: This tutorial repository bridges the gap between coding and neuroscience, offering a comprehensive resource for both coders new to neuroscience and neuroscientists seeking to enhance their PyTorch skills. While it does not aim to unify the diverse processes in neuroimage processing, it introduces a wide array of methods to equip users with the necessary tools. The repository focuses on MRI scan preprocessing, analysis, and visualization using PyTorch, reflecting the author's journey as a student researcher tackling the challenges of deep learning explainability with medical images. The repository includes tutorials on bash basics, MRI preprocessing techniques such as skull stripping and motion correction, and Python libraries for brain processing. Additionally, it provides coding examples in Colab, making it a valuable resource for anyone looking to navigate the intersection of neuroscience and deep learning.
Please ignore the uploaded PDF, but refer to github repository: https://github.com/1pha/neuroscience-in-a-pyshell
Website: https://github.com/1pha/neuroscience-in-a-pyshell
Submission Number: 1
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