A dynamic connectome mapping module in python.
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Updated
Jul 24, 2023 - Python
A dynamic connectome mapping module in python.
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Framework for Information Theoretical analysis of Electrophysiological data and Statistics
A large-scale spiking model of the vision-related areas of macaque cortex.
Small Animal Magnetic Resonance Imaging via Python.
The neural basis of intelligence in fine-grained cortical topographies
Python library to compute functional connectivity measures from EEG
Methods for estimating time-varying functional connectivity (TVFC)
Functional connectivity and brain network analysis for motor imagery data in stroke patients
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters
Track and segment the dynamics of brain connectivity networks
A machine learning model to diagnose ADHD, using resting-state fMRI data.
Benchmarks for functional connectivity estimators and FCEst Python package
For local SC-FC subgraph extraction and counterfactual explanation.
Sensing the functional connectivity of the brain
Seed-based resting-state functional connectivity with Nilearn.
Bachelor thesis project analyzing fMRI connectivity and BOLD variability for CRCI biomarker discovery.
Code for the PNAS paper: Causal connectivity measures for pulse-output network reconstruction: Analysis and applications
For local SC-FC subgraph extraction and counterfactual explanation.
To investigate brain network dynamics linked with dimensionally-based symptom profiles exhibited across a transdiagnostic cohort of participants with and without psychiatric diagnoses.
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