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Boki Milinković photo

bmilinkovic Goto Github PK

followers: 2.0 following: 4.0 repos: 26.0 gists: 0.0

Name: Boki Milinković

Type: User

Company: The University of Melbourne

Bio: Doctoral researcher in computational neuroscience (of consciousness): emergence, higher-order networks, causality, whole-brain modelling, information dynamics

Twitter: MilinkovBorjan

Location: Melbourne, Victoria, Australia

Boki Milinković's Projects

dit icon dit

Python package for information theory.

einet icon einet

Uncertainty and causal emergence in complex networks

flzc icon flzc

Fast Lempel-Ziv complexity library in C, with MATLAB interface

gvmat icon gvmat

MATLAB interface for some GraphViz functionality

jidt icon jidt

JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Ipython Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mvgc1 icon mvgc1

The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.

mvgc2 icon mvgc2

The MVGC Multivariate Granger Causality toolbox (Version 2) for Granger-causal inference from time-series data. CURRENTLY IN EARLY DEVELOPMENT - UNTESTED!

pyphi icon pyphi

A toolbox for integrated information theory.

sippy icon sippy

Systems Identification Package for PYthon

spectralexponent icon spectralexponent

this code allows to compute the spectral exponent of the resting EEG, based on the Power Spectral Density, over a given scaling region.

ssdi-1 icon ssdi-1

Implement Dynamical Independence computation for linear state-space systems

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