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.

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

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