Pinned Repositories
jidt
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
ComputationalNeurodynamics
Code and exercises for the Computational Neurodynamics course at Imperial College London
EntRate
Entropy rate estimators for neuroscience
helicopterRL
Reinforcement Learning for Autonomous Helicopter Control
NeMo
NeMo Spiking Neural Network Simulator (by Andreas Fidjeland)
PhiID
Code to compute Integrated Information Decomposition (PhiID) from data.
ReconcilingEmergences
Measures of causal emergence from multivariate time series data.
syndisc
Synergistic information via data disclosure.
WasteBot
Keep track of big phat wasteman points
IDTxl
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
pmediano's Repositories
pmediano/ReconcilingEmergences
Measures of causal emergence from multivariate time series data.
pmediano/EntRate
Entropy rate estimators for neuroscience
pmediano/ComputationalNeurodynamics
Code and exercises for the Computational Neurodynamics course at Imperial College London
pmediano/helicopterRL
Reinforcement Learning for Autonomous Helicopter Control
pmediano/syndisc
Synergistic information via data disclosure.
pmediano/NeMo
NeMo Spiking Neural Network Simulator (by Andreas Fidjeland)
pmediano/PhiID
Code to compute Integrated Information Decomposition (PhiID) from data.
pmediano/WasteBot
Keep track of big phat wasteman points
pmediano/jidt
JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems
pmediano/Abzinger.github.io
pmediano/IDTxl
pmediano/infotheoretic
Study of various information-theoretic measures in neural populations.
pmediano/LanguagePredictability
Project about predictability in language production and comprehension.
pmediano/partial-info-decomp
Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures