predictive machine learning classification and data processing on neuroscience brain image data
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Updated
May 21, 2024 - Python
predictive machine learning classification and data processing on neuroscience brain image data
This repository is associated with the manuscript: “Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder”
Code for my Master's Thesis "Deep Neural Encoding Models of the Human Visual Cortex to Predict fMRI Responses to Natural Visual Scenes" and my submission for the "Algonauts Project 2023 Challenge".
Generate a package-manager-friendly archive of ABI connectivity maps registered in SAMRI standard space.
A novel method for sampling the active and noisy areas is proposed by using the purification of gray and non-gray matter areas of fMRI data. Also, a data-driven network is proposed in a parallel, multi-step and integrated manner for optimal noise reduction of t-fMRI data.
This is the repository for paper `Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks'.
This code repository contains a collection of Python scripts for classifying autistic and control conditions using Support Vector Machines (SVM), leveraging preprocessed functional MRI (fMRI) data from the ABIDE dataset.
Diffusion Weighted Imaging (DWI) line artifact removal
Source code for <Thinking Fast and Slow - A novel multi-region computational-modelling framework for conceptual knowledge learning and consolidation> (WIP)
Source code for brain data processing and analysis in paper <A controller-peripheral architecture and costly energy principle for learning>
Generate a package-manager-friendly archive of ABI gene expression maps registered in SAMRI standard space.
fMRI data processing pipelines
Resting state HRF estimation from BOLD-fMRI signal
[NeurIPS 2022] "Convergent Representations of Computer Programs in Human and Artificial Neural Networks" by Shashank Srikant*, Benjamin Lipkin*, Anna A. Ivanova, Evelina Fedorenko, Una-May O'Reilly.
An analysis of representations of computer programs learned by ML models and those seen in our brains
ASD diagnosis on ABIDE I
Haemodynamic Response Function estimation from fMRI in Python
Code for our pilot study on social closeness, trust, and aging.
Python implementation of Functional Magnetic Resonance Imaging data augmentation through conditional ICA (MICCAI2021-Oral)
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