Peer-reviewedCC BY-NC-ND 4.0Communications Biology
Self-regulated emergence of heavy-tailed weight distributions in evolving complex network architectures
Related
- Evolving Hybrid Quantum-Classical Architectures for Image Classification
- Efficient LLM-Generated Shuttling Compilers for Complex Trapped-Ion Architectures
- Exact probability distributions of complex spacing ratios in non-Hermitian random matrices
- A density-regulated non-phantom dark-energy background tested with DESI DR2 and three supernova compilations
- Photonic Cavity Architectures for Enhanced Rydberg Atom Based Electrometry: A Numerical Study
BibTeX
@article{li2026selfregulated,
title = {{Self-regulated emergence of heavy-tailed weight distributions in evolving complex network architectures}},
author = {Jia Li and Cees van Leeuwen and Roman Bauer and Ilias Rentzeperis},
journal = {Communications Biology},
year = {2026},
month = oct,
doi = {10.1038/s42003-026-11161-4},
url = {https://www.nature.com/articles/s42003-026-11161-4},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Self-regulated emergence of heavy-tailed weight distributions in evolving complex network architectures
AU - Jia Li
AU - Cees van Leeuwen
AU - Roman Bauer
AU - Ilias Rentzeperis
PY - 2026
DA - 2026/10/12
JO - Communications Biology
DO - 10.1038/s42003-026-11161-4
UR - https://www.nature.com/articles/s42003-026-11161-4
SN - 2399-3642
ER -