Search Results for author: Abdullah Makkeh

Found 4 papers, 3 papers with code

Partial Information Decomposition Reveals the Structure of Neural Representations

no code implementations21 Sep 2022 David A. Ehrlich, Andreas C. Schneider, Michael Wibral, Viola Priesemann, Abdullah Makkeh

However, the specific way in which the information is distributed among the individual neurons is not well understood: While parts of it may only be obtainable from specific single neurons, other parts are carried redundantly or synergistically by multiple neurons.

Bits and Pieces: Understanding Information Decomposition from Part-whole Relationships and Formal Logic

1 code implementation21 Aug 2020 Aaron J. Gutknecht, Michael Wibral, Abdullah Makkeh

In this paper we show, first, that the entire theory of partial information decomposition can be derived from considerations of elementary parthood relationships between information contributions.

Formal Logic

Introducing a differentiable measure of pointwise shared information

1 code implementation9 Feb 2020 Abdullah Makkeh, Aaron J. Gutknecht, Michael Wibral

We here present a novel measure that satisfies this property, emerges solely from information-theoretic principles, and has the form of a local mutual information.

Information Theory Information Theory

MAXENT3D_PID: An Estimator for the Maximum-entropy Trivariate Partial Information Decomposition

2 code implementations10 Jan 2019 Abdullah Makkeh, Daniel Chicharro, Dirk Oliver Theis, Raul Vicente

Chicharro (2017) introduced a procedure to determine multivariate partial information measures within the maximum entropy framework, separating unique, redundant, and synergistic components of information.

Computation Optimization and Control

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