PyCon, the gathering for the community using and developing the open-source Python programming language. This is the first year of the PyCon Pune where the community will meet for two days of talks and working on upstream projects in two days of dev sprint. CFP ends on 30th November AoE.
Machine Learning for NeuroImaging data using nilearn
There is a growing interest in data-driven modelling and statistical learning for NeuroImaging. Datasets for NeuroImaging are also growing in size and complexity.
Nilearn was designed to combat these problems. The Python package provides nicely written methods for preprocessing, analysis and visualization of Neuroimaging results.
The talk aims to introduce people to Nilearn and its workings and how it can make data analysis easy for Neuroscientists. The talk will mostly consist of code-demos to show the various features of nilearn.
The intended audience for the talk are Python programmers who have an understanding of Machine Learning algorithms. A small understanding of Neuroimaging would be a plus.
To understand a few concepts on NeuroImaging, here are the suggested resources-
Brief Introduction on NeuroImaging- http://miykael.github.io/nipype-beginner-s-guide/neuroimaging.html
NIfTI file format- https://nifti.nimh.nih.gov. Give an understanding on the type of files used for NeuroImaging.
What is a Connectome?- https://youtube.com/watch?list=PLCEC78997E3E2DAB4&v=Rm1KLXIDS_Y. This video is for those who wish to have a deep understanding of what is a connectome and not for those who are looking for a quick understanding.
Another video on Connectome by Sebastian Seung for a simpler understanding- https://www.ted.com/talks/sebastian_seung
The talk will take in mind the background of the attendees and make it as simple as possible for attendees to understand NeuroImaging.
The talk will proceed as follows-
1) Introduction to Neuroimaging
2) Why is Machine Learning important for NeuroImaging?
3) Installation and Setup for nilearn
4) Plotting and Basic Image manipulation.
5) Brain decoding using SVM.
6) Building a connectome
If time allows, I will also cover spatial network extraction using ICA(Independent Component Analysis).
I am a student in Computer Science who is interested in the field of Machine Learning, Bioinformatics, Neuroinformatics and linguistics.
I have been a part of Django Girls Pune since two years as a mentor.
I often listen to Western Classical Music, practice Taekwondo and learning to speak Russian fluently during my free time.