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
Supplementary scripts for Step-by-step active inference modelling tutorial
Python package for information theory.
Uncertainty and causal emergence in complex networks
Fast Lempel-Ziv complexity library in C, with MATLAB interface
Get the EEG sleep data from OSF "Nap EEG"
Gnuplot API for MATLAB
MATLAB interface for some GraphViz functionality
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
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.
The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.
The MVGC Multivariate Granger Causality toolbox (Version 2) for Granger-causal inference from time-series data. CURRENTLY IN EARLY DEVELOPMENT - UNTESTED!
A toolbox for integrated information theory.
Measures of causal emergence from multivariate time series data.
Systems Identification Package for PYthon
this code allows to compute the spectral exponent of the resting EEG, based on the Power Spectral Density, over a given scaling region.
Implement Dynamical Independence computation for linear state-space systems
Main TVB codebase