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beamformer_examples

beamformer_simulation

Big simulation study for MNE-Python's LCMV and DICS beamformers

conpy

Python package for power mapping and functional connectivity using DICS

fbosc

fooof+BOSC: A repository for the robust detection of oscillations at the single-trial level

fooof

Parameterizing neural power spectra into periodic & aperiodic components.

hnn

The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.

hnn-core

Simulation and optimization of neural circuits for MEG/EEG source estimates

jumeg

MEG Data Analysis at FZJ

magnetometer-auto-calibration

An algorithm that learns the inherent offsets and biases from empirical magnetometer measurement data.

matlab-barplot

Automatic bar & violin plots with groups, whiskers, significance bridges

matlabautodiff

A matlab implementation of forward automatic differentiation with operator overloading and sparse jacobians

meg-simulations

MEG simulations in Matlab

neuroscience_tutorials

Some tutorials for students of neuroscience

opm

Tools for OPM processing using SPM

opm_resolution

paper

Repository for the Parameterizing Neural Power Spectra paper.

plotsurfaceroiboundary

Plot the boundaries of ROIs on a surface

pymultiobjective

A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA III; OMOPSO; PAES; RVEA; SMPSO; SMS-EMOA; SPEA2; U-NSGA III

python_for_brain

Various scripts and jupyter notebooks with python code for brain image analysis and visualization

sparse-evolutionary-artificial-neural-networks

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

study_template

A template for new data analysis pipelines