• Corpus ID: 239052826

Internal Feedback in Biological Control: Architectures and Examples

@inproceedings{Sarma2021InternalFI,
  title={Internal Feedback in Biological Control: Architectures and Examples},
  author={Anisha Sarma and Jing Shuang Li and Josefin Stenberg and Gwyneth M. Card and Ellie S. Heckscher and Narayanan Kasthuri and Terrence J. Sejnowski and John C. Doyle},
  year={2021}
}
  • A. Sarma, Jing Shuang Li, +5 authors J. Doyle
  • Published 11 October 2021
  • Engineering, Computer Science, Biology
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… 

Figures from this paper

Internal Feedback in Biological Control: Diversity, Delays, and Standard Theory
TLDR
It is claimed that IFPs are crucial architectural features that strategically combine highly diverse components to give rise to optimal performance in any complex system with diverse components, such as organisms and cyberphysical systems.
Internal Feedback in Biological Control: Locality and System Level Synthesis
  • Jing Shuang Li
  • Engineering, Computer Science
  • 2021
TLDR
This is the first theory that can replicate the massive amounts of IFPs in the brain purely from a priori principles, providing a new and promising theoretical basis upon which to build to better understand the inner workings of the brain.

References

SHOWING 1-10 OF 35 REFERENCES
Internal Feedback in Biological Control: Diversity, Delays, and Standard Theory
TLDR
It is claimed that IFPs are crucial architectural features that strategically combine highly diverse components to give rise to optimal performance in any complex system with diverse components, such as organisms and cyberphysical systems.
Robust perfect adaptation in bacterial chemotaxis through integral feedback control.
TLDR
Using techniques from control and dynamical systems theory, it is demonstrated that integral control is structurally inherent in the Barkai-Leibler model and identified and characterize the key assumptions of the model.
Internal Feedback in Biological Control: Locality and System Level Synthesis
  • Jing Shuang Li
  • Engineering, Computer Science
  • 2021
TLDR
This is the first theory that can replicate the massive amounts of IFPs in the brain purely from a priori principles, providing a new and promising theoretical basis upon which to build to better understand the inner workings of the brain.
A universal biomolecular integral feedback controller for robust perfect adaptation
TLDR
It is proved mathematically that there is a single fundamental biomolecular controller topology that realizes integral feedback and achieves robust perfect adaptation in arbitrary intracellular networks with noisy dynamics.
Fundamental limits on the suppression of molecular fluctuations
TLDR
It is shown, by developing mathematical tools that merge control and information theory with physical chemistry, that seemingly mild constraints on these rates place severe limits on the ability to suppress molecular fluctuations.
Hard limits on robust control over delayed and quantized communication channels with applications to sensorimotor control
TLDR
This work addresses a fundamental tradeoff when robust control is done using communication with both delay and quantization error, which are both extremely heterogeneous and highly constrained in human and animal nervous systems.
A System-Level Approach to Controller Synthesis
TLDR
A new “system level” (SL) approach involving three complementary SL elements that provide an alternative to the Youla parameterization of all stabilizing controllers and the responses they achieve, and combine with SL constraints (SLCs) to parameterize the largest known class of constrained stabilization controllers that admit a convex characterization, generalizing quadratic invariance.
Robustness in bacterial chemotaxis
TLDR
This work focuses on how response and adaptation to attractant signals vary with systematic changes in the intracellular concentration of the components of the chemotaxis network, and finds that some properties show strong variations in response to varying protein concentrations.
Separable and Localized System-Level Synthesis for Large-Scale Systems
TLDR
Many optimal control problems of interest, such as (localized) LQR and LQG, satisfy notions of separability for control objective functions and system constraints, and are used to explore tradeoffs in performance, actuator, and sensing density, and average versus worst-case performance for a large-scale power inspired system.
Robustness in simple biochemical networks
TLDR
It is argued that the key properties of biochemical networks should be robust in order to ensure their proper functioning, and it is shown that this applies in particular to bacterial chemotaxis.
...
1
2
3
4
...