GidLev
Ph.D. candidate at The Department of Brain and Cognitive Sciences, BGU. Interested in Brain Connectivity, Deep Learning, Visual Perception & Interoception.
Ben Gurion University of the Negev
Pinned Repositories
brain_gastric_synchronization_2023
The code for Levakov et al. 2023 gastric-brain synchronization paper
cepy
Implementation of the connectome embedding framework
consensus-thresholding
Python implementation of Betzel et al. (2018) distance-dependent consistency matrices
dynamic_faces_2022
Code and data of the Levakov et al. 2022 dynamic faces paper
functional_brain_aging
The code for Levakov et al. 2023 brain aging paper
Machine-learning-Representation-and-Computer-Vision
Machine-learning-Representation-and-Computer-Vision course tasks
NBS-correlation
Python implementation of Network-based statistic for correlation testing
pubmed-rct
PubMed 200k RCT dataset: a large dataset for sequential sentence classification.
systole
A python toolbox for preprocessing, analyzing, and synchronizing cardiac data.
trends_predict
Code for Kaggle's Trends neuroimaging challenge - predicting age with 4D group ICA volumes
GidLev's Repositories
GidLev/NBS-correlation
Python implementation of Network-based statistic for correlation testing
GidLev/cepy
Implementation of the connectome embedding framework
GidLev/consensus-thresholding
Python implementation of Betzel et al. (2018) distance-dependent consistency matrices
GidLev/brain_gastric_synchronization_2023
The code for Levakov et al. 2023 gastric-brain synchronization paper
GidLev/dynamic_faces_2022
Code and data of the Levakov et al. 2022 dynamic faces paper
GidLev/functional_brain_aging
The code for Levakov et al. 2023 brain aging paper
GidLev/Machine-learning-Representation-and-Computer-Vision
Machine-learning-Representation-and-Computer-Vision course tasks
GidLev/pubmed-rct
PubMed 200k RCT dataset: a large dataset for sequential sentence classification.
GidLev/systole
A python toolbox for preprocessing, analyzing, and synchronizing cardiac data.
GidLev/trends_predict
Code for Kaggle's Trends neuroimaging challenge - predicting age with 4D group ICA volumes
GidLev/ZDHHC9_connectome