David A. Ehrlich

According to our database, David A. Ehrlich authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Measure of the Complexity of Neural Representations based on Partial Information Decomposition.

David A. Ehrlich, Andreas C. Schneider, Viola Priesemann, Michael Wibral, Abdullah Makkeh

Trans. Mach. Learn. Res., 2023

Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation.

David A. Ehrlich, Kyle Schick-Poland, Abdullah Makkeh, Felix Lanfermann, Patricia Wollstadt, Michael Wibral

CoRR, 2023

Infomorphic networks: Locally learning neural networks derived from partial information decomposition.

Marcel Graetz, Abdullah Makkeh, Andreas C. Schneider, David A. Ehrlich, Viola Priesemann, Michael Wibral

CoRR, 2023

2022

Partial Information Decomposition Reveals the Structure of Neural Representations.

David A. Ehrlich, Andreas C. Schneider, Michael Wibral, Viola Priesemann, Abdullah Makkeh

CoRR, 2022