SourRook
Neuroscientist/ baker: closed-loop control of brains and bread Skills and expertise: Computational Neuroscience, Electrophysiology, Neuromodulation
Imperial College London
SourRook's Stars
gallantlab/pycortex
Pycortex is a python-based toolkit for surface visualization of fMRI data
cesc14/RippaExtCV
amir-cardiolab/Py4SciComp
Python for Scientific Computing (FEniCS, PyTorch, VTK)
chebfun/examples
Chebfun examples collection
gpeyre/matlab-toolboxes
Contains all my Matlab toolboxes.
agosztolai/RVGP
A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis and to regularise vector fields using global structures.
ImperialCollegeLondon/freqmix
Decomposing frequency mixing in time-series data.
agosztolai/MARBLE
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
raymonraymon/matlabMesh
matlabMesh
BrainDynamicsUSYD/BrainVortexToolbox
AdaptiveMotorControlLab/CEBRA
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
brincolab/High-Order-interactions
High-Order interactions
danielemarinazzo/dynamic_O_information
code for dynamic O information
nmtimme/Neuroscience-Information-Theory-Toolbox
A MATLAB toolbox for performing information theory analyses of neuroscience data
seanbow/multiclass-svm
Efficient MATLAB implementations of several multiclass (and binary) SVM methods
PranavMahajan25/HOI_toolbox
Higher-order interactions toolbox
danielemarinazzo/HOI
Retrieving high-order information multiplets from data using the O-information
robince/gcmi
Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.
robince/partial-info-decomp
Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures
sccn/eeglab_tutorial_scripts
Scripts for the EEGLAB tutorial
AwhVogelLab/EEGLAB-Pipeline
A standardized pipeline for EEG preprocessing and artifact rejection using EEGLAB
Pegahka/Recursive_Feature_Elimination
Recursive Feature Elimination for MATLAB's "fitcsvm" SVM classifier, based on the method by Guyon et al.
jlizier/jidt
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
mfbalin/Concrete-Autoencoders
ivanbrugere/matlab-networks-toolbox
A set of graph/networks analysis functions in Octave. This fork focuses on MATLAB compatibility.
ChrisWLynn/Network_compressibility
Data and code for "Compressibility of complex networks" by Christopher W. Lynn and Danielle S. Bassett
brain-modelling-group/brainwaves
Simulate metastable brain waves, plus analysis tools to quantify the dynamics.
OHBA-analysis/HMM-MAR
Toolbox for segmentation and characterisation of transient connectivity
brain-modelling-group/neural-flows
Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
Conxz/multiBrain
A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!