Noetiko Convergence

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

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Authors: André Kappe
DOI: 10.5281/zenodo.18394098
Cited by: 0

Abstract

Noetiko Convergence is a Python toolkit for reproducible analysis and simulation of phase synchronization under noise, with a focus on scientifically auditable metrics, surrogate testing, and clear reporting artifacts for open science workflows. This repository is the software companion to the Noetiko Convergence paper series on Zenodo (Paper I–IV).

Fields of Study & Subjects

Neural dynamics and brain function Chaos control and synchronization Computational Physics and Python Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026