A large-scale spiking model of the vision-related areas of macaque cortex.
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Updated
Apr 17, 2024 - Python
A large-scale spiking model of the vision-related areas of macaque cortex.
A dynamic connectome mapping module in python.
Small Animal Magnetic Resonance Imaging via Python.
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Framework for Information Theoretical analysis of Electrophysiological data and Statistics
Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.
A GLM based approach to measure CFC
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
Brainstorm plug-ins for MEG and EEG source imaging, including (1) maximum contrast beamformer (MCB) for the use in localization of brain sources, (2) spatiotemporal imaging of linearly-related source components (SILSC) for the use in identification of sources linearly correlated to the activity of a seed, and (3) beamformer-based imaging of phas…
Connectome-based Hopfiled Neural Networks (fcHNN)
Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)
Python library to compute functional connectivity measures from EEG
Code for: "Flexible coordinator and switcher hubs for adaptive task control". Cocuzza et al., 2020 (In Press). Journal of Neuroscience.
a simple C++ graph analysis library
some of the work I've done with resting-state fMRI
Sensing the functional connectivity of the brain
A Quality Control database for the HCP resting-state scans
Source code of "Machine learning evaluates changes in functional connectivity under a prolonged cognitive load"
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