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.

Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity (TMI, 2022)

Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.

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

A GLM based approach to measure CFC

Collection of Matlab functions for denoising fMRI data

The neural basis of intelligence in fine-grained cortical topographies

Python library to compute functional connectivity measures from EEG

Supporting code for https://www.biorxiv.org/content/10.1101/796714v4

Connectome-based Hopfiled Neural Networks (fcHNN)

Project repository of the Matters Arising commentary "Multivariate BWAS can be replicable with moderate sample sizes in some cases""

EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters

Methods for estimating time-varying functional connectivity (TVFC)

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…

Machine learning pipelines with K-fold cross-validation library for FC data