Search Results for author: Dennis Voelkl

Found 1 papers, 0 papers with code

Quantifying and maximizing the information flux in recurrent neural networks

no code implementations30 Jan 2023 Claus Metzner, Marius E. Yamakou, Dennis Voelkl, Achim Schilling, Patrick Krauss

We find that in networks with moderately strong connections, the mutual information $I$ is approximately a monotonic transformation of the root-mean-square averaged Pearson correlations between neuron-pairs, a quantity that can be efficiently computed even in large systems.

Cannot find the paper you are looking for? You can Submit a new open access paper.