Internal Feedback in Biological Control: Architectures and Examples

TL;DR

This paper explores internal feedback pathways in biological control systems, highlighting their complexity, tradeoffs, and how control theory can help understand them, with implications across various biological scales.

Contribution

It introduces the concept of internal feedback pathways in biology, discusses their complexity and tradeoffs, and applies control theory to analyze these systems, expanding understanding of biological feedback.

Findings

Internal feedback pathways are complex and widespread in biology.

Tradeoffs like speed-accuracy significantly constrain biological control hardware.

Control theory, including System Level Synthesis, offers insights into biological internal feedbacks.

Abstract

Feedback is ubiquitous in both biological and engineered control systems. In biology, in addition to typical feedback between plant and controller, we observe feedback pathways within control systems, which we call internal feedback pathways (IFPs), that are often very complex. IFPs are most familiar in neural systems, our primary motivation, but they appear everywhere from bacterial signal transduction to the human immune system. In this paper, we describe these very different motivating examples and introduce the concepts necessary to explain their complex IFPs, particularly the severe speed-accuracy tradeoffs that constrain the hardware in biology. We also sketch some minimal theory for extremely simplified toy models that nevertheless highlight the importance of diversity-enabled sweet spots (DESS) in mitigating the impact of hardware tradeoffs. For more realistic models, standard modern and robust control theory can give some insights into previously cryptic IFPs, and the new System Level Synthesis theory expands this substantially. These additional theories explaining IFPs will be explored in more detail in several companion papers.