Zeigar's starred repositories
ai-for-grant-writing
A curated list of resources for using LLMs to develop more competitive grant applications.
europond-software
Description of the toolbox of computational models emanating from the EuroPOND consortium
neural_timeseries_diffusion
This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probabilistic models". @jsvetter
scfc-coupling
Code for paper Heritability and interindividual variability of regional structure-function coupling.
review
Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Domenico, James P. Gleeson, Hernán A. Makse, Giuseppe Mangioni, Matjaž Perc and Filippo Radicchi, published at Nature Review Physics (2024). https://doi.org/10.1038/s42254-023-00676-y
integrated-info-decomp
Python package for Integrated Information Decomposition (PhiID)
brain-coloring
BrainPainter - Brain Visualisation Software
SuStaInMatlab
Subtype and Stage Inference [Young+, Nature Communications 2018]
Disease-Progress-Model
Data and code supporting Jiang et al., 2023 "Neuroimaging biomarkers define neurophysiological subtypes with distinct trajectories in schizophrenia"
NeuroGNN
NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.
neuroCombat
Harmonization of multi-site imaging data with ComBat (Python)
hansen_receptors
Data and code supporting Hansen et al., 2022 Nature Neuroscience "Mapping neurotransmitter systems to the structural and functional organization of the human neocortex"
mat_py_mat
Examples and tooling for using spectral parameterization within a Matlab workflow.
Targeted-Functional-Network-Stimulation
Code for implementing the Targeted Functional Network Stimulation (TANS) approach described in "Automated optimization of TMS coil placement for personalized functional network engagement", Lynch et al. 2022 (Neuron).