Computation Neuroscience Lab
Shared code from the computational neuroscience group of Gustavo Deco, Center for Brain and Cognition, Pompeu Fabra University
Barcelona, Spain
Pinned Repositories
cb-longrange
cb-neuromod
Code for Deco et al 2018 Current Biology
cr-turbulence
Code for paper in Cell Reports 2020
Effective-Connectivity--Hopf
A Hopf oscillator-based method for estimating effective connectivity. Uses the particle swarm algorithm to fit the model. Groups of effective connectivity estimates may be compared using the network-based statistic. This repository is meant to be used in conjunction with the concurrent Functions repository.
Functions
This repository contains functions necessary for the LEICA and Effective Connectivity: Hopf respositories' function.
gec
Hopf_consciousness
insideout
Code for Deco et al paper in Communications Biology
LEICA
This respository contains the most up-to-date version of the LEICA (Leading Eigenvector Independent Component Analysis)
pnas-neuromod
Code for paper in PNAS 2020
Computation Neuroscience Lab 's Repositories
decolab/pnas-neuromod
Code for paper in PNAS 2020
decolab/cb-neuromod
Code for Deco et al 2018 Current Biology
decolab/cr-turbulence
Code for paper in Cell Reports 2020
decolab/Effective-Connectivity--Hopf
A Hopf oscillator-based method for estimating effective connectivity. Uses the particle swarm algorithm to fit the model. Groups of effective connectivity estimates may be compared using the network-based statistic. This repository is meant to be used in conjunction with the concurrent Functions repository.
decolab/insideout
Code for Deco et al paper in Communications Biology
decolab/LEICA
This respository contains the most up-to-date version of the LEICA (Leading Eigenvector Independent Component Analysis)
decolab/cb-longrange
decolab/Functions
This repository contains functions necessary for the LEICA and Effective Connectivity: Hopf respositories' function.
decolab/gec
decolab/Hopf_consciousness
decolab/megturbulence
decolab/charm
decolab/Psilodep2
decolab/pyGAlib
Graph Analisys library based on Python / NumPy
decolab/pyMOU
Light package for connectivity estimation and analysis of neuroimaging data (e.g. fMRI). It relies on the multivariate Ornstein-Uhlenbeck process (MOU).