Data and code for "Reservoir computing with collective dynamics of active colloidal oscillators"
Tovey Samuel·
Heuthe Veit-Lorenz·
Bechinger Clemens·
Lukas Seemann
2025
2025/12/15
Switzerland, Geneva
Creative Commons Attribution 4.0 International
数据描述

The dataset provides open data and code for the research paper "Reservoir computing with collective dynamics of active colloidal oscillators." It includes experimental and simulation data, along with evaluation and plotting code in both Python and MATLAB. The total dataset size is approximately 2.3 GB, containing files such as exp_data.zip, sim_data.zip, data_evaluation_python.zip, data_evaluation_matlab.zip, and plot_figures.zip. The purpose of this dataset is to reproduce the results and figures from the associated study, which explores using active colloidal oscillators for reservoir computing.
数据列表
1data_evaluation_matlab.zip
格式ZIP
大小67.7 MB
DOI: 10.5281/ZENODO.17913226
zenodo.org
IP: 137.138.76.77
加载中...
相关论文
1Reservoir computing from collective dynamics of active colloidal oscillators
Veit-Lorenz Heuthe•Lukas Seemann•Samuel Tovey•Clemens Bechinger
Communications Ai & Computing
2026
•2026/7/23
•Vol.1 No.1 p.60
Physical reservoir computing is a computational framework that offers an energy- and computation-efficient alternative to conventional training of neural networks. In reservoir computing, input signals are mapped into the high-dimensional dynamics of a nonlinear system, and only a simple readout lay...
Mathematics and computingPhysics
10.1038/S44488-026-00001-3
ISSN:3091-292X