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20192026
most citedThe Structure of Infinitesimal Homeostasis in Input-Output Networks

32 citations · 41 across the 6 of their papers we have counts for

collaborators

7 papers

math.DS2026

Period Homeostasis Near Hopf Bifurcation

Steve Manns, Janet Best, Martin Golubitsky

Homeostasis is a biological phenomenon in which a function of the state of the system remains approximately constant as an input parameter varies. Recent mathematical work has deve…

q-bio.MN2024★ 3 cited

Homeostasis in Input-Output Networks: Structure, Classification and Applications

Fernando Antoneli, Martin Golubitsky, Jiaxin Jin +1

Homeostasis is concerned with regulatory mechanisms, present in biological systems, where some specific variable is kept close to a set value as some external disturbance affects t…

q-bio.MN2023★ 2 cited

Homeostasis in Gene Regulatory Networks

Fernando Antoneli, Martin Golubitsky, Jiaxin Jin +1

In this paper, we use the framework of infinitesimal homeostasis to study general design principles for the occurrence of homeostasis in gene regulatory networks. We assume that th…

math.DS2023★ 4 cited

Homeostasis Patterns

William Duncan, Fernando Antoneli, Janet Best +5

Homeostasis is a regulatory mechanism that keeps a specific variable close to a set value as other variables fluctuate. The notion of homeostasis can be rigorously formulated when…

math.DS2022

Breaking indecision in multi-agent, multi-option dynamics

Alessio Franci, Martin Golubitsky, Ian Stewart +2

How does a group of agents break indecision when deciding about options with qualities that are hard to distinguish? Biological and artificial multi-agent systems, from honeybees a…

q-bio.MN2020★ 32 cited

The Structure of Infinitesimal Homeostasis in Input-Output Networks

Yangyang Wang, Zhengyuan Huang, Fernando Antoneli +1

Homeostasis refers to a phenomenon whereby the output of a system is approximately constant on variation of an input . Homeostasis occurs frequently in biochemic…

math.OC2019

A model-independent theory of consensus and dissensus decision making

Alessio Franci, Martin Golubitsky, Anastasia Bizyaeva +1

We develop a model-independent framework to study the dynamics of decision-making in opinion networks for an arbitrary number of agents and an arbitrary number of options. Model-in…