Data and trained models for: Structure, disorder, and dynamics in task-trained recurrent neural circuits

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: D Clark, Blake Bordelon, Jacob A. Zavatone-Veth, Cengiz Pehlevan
DOI: 10.5281/zenodo.18831814
Cited by: 0

Abstract

Trained RNN weights, SGLD sampling outputs, DMFT results, and precomputed analysis caches for reproducing all figures in Clark*, Bordelon*, Zavatone-Veth*, and Pehlevan (2026). See the GitHub repository at https://github.com/davidclark1/RNN-Learning-Theory for code and instructions.

Fields of Study & Subjects

Neural Networks and Applications Neural dynamics and brain function Neural Networks and Reservoir Computing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 March 2026
Language
EN
Document type
Dataset