Literature DB >> 24893678

Feedback control as a framework for understanding tradeoffs in biology.

Noah J Cowan1, Mert M Ankarali2, Jonathan P Dyhr2, Manu S Madhav2, Eatai Roth2, Shahin Sefati2, Simon Sponberg2, Sarah A Stamper2, Eric S Fortune2, Thomas L Daniel2.   

Abstract

Control theory arose from a need to control synthetic systems. From regulating steam engines to tuning radios to devices capable of autonomous movement, it provided a formal mathematical basis for understanding the role of feedback in the stability (or change) of dynamical systems. It provides a framework for understanding any system with regulation via feedback, including biological ones such as regulatory gene networks, cellular metabolic systems, sensorimotor dynamics of moving animals, and even ecological or evolutionary dynamics of organisms and populations. Here, we focus on four case studies of the sensorimotor dynamics of animals, each of which involves the application of principles from control theory to probe stability and feedback in an organism's response to perturbations. We use examples from aquatic (two behaviors performed by electric fish), terrestrial (following of walls by cockroaches), and aerial environments (flight control by moths) to highlight how one can use control theory to understand the way feedback mechanisms interact with the physical dynamics of animals to determine their stability and response to sensory inputs and perturbations. Each case study is cast as a control problem with sensory input, neural processing, and motor dynamics, the output of which feeds back to the sensory inputs. Collectively, the interaction of these systems in a closed loop determines the behavior of the entire system.
© The Author 2014. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

Mesh:

Year:  2014        PMID: 24893678     DOI: 10.1093/icb/icu050

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  20 in total

1.  Walking dynamics are symmetric (enough).

Authors:  M Mert Ankaralı; Shahin Sefati; Manu S Madhav; Andrew Long; Amy J Bastian; Noah J Cowan
Journal:  J R Soc Interface       Date:  2015-07-06       Impact factor: 4.118

2.  Snake robot uncovers secrets to sidewinders' maneuverability.

Authors:  Sarah A Stamper; Shahin Sefati; Noah J Cowan
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-01       Impact factor: 11.205

3.  A systems approach to integrative biology: an overview of statistical methods to elucidate association and architecture.

Authors:  Mark F Ciaccio; Justin D Finkle; Albert Y Xue; Neda Bagheri
Journal:  Integr Comp Biol       Date:  2014-05-09       Impact factor: 3.326

4.  Limitations of rotational manoeuvrability in insects and hummingbirds: evaluating the effects of neuro-biomechanical delays and muscle mechanical power.

Authors:  Pan Liu; Bo Cheng
Journal:  J R Soc Interface       Date:  2017-07       Impact factor: 4.118

5.  Dynamic modulation of visual and electrosensory gains for locomotor control.

Authors:  Erin E Sutton; Alican Demir; Sarah A Stamper; Eric S Fortune; Noah J Cowan
Journal:  J R Soc Interface       Date:  2016-05       Impact factor: 4.118

6.  The roles of vision and antennal mechanoreception in hawkmoth flight control.

Authors:  Ajinkya Dahake; Anna L Stöckl; James J Foster; Sanjay P Sane; Almut Kelber
Journal:  Elife       Date:  2018-12-10       Impact factor: 8.140

7.  Abdominal Movements in Insect Flight Reshape the Role of Non-Aerodynamic Structures for Flight Maneuverability I: Model Predictive Control for Flower Tracking.

Authors:  Jorge Bustamante; Mahad Ahmed; Tanvi Deora; Brian Fabien; Thomas L Daniel
Journal:  Integr Org Biol       Date:  2022-09-16

8.  Eupnea, tachypnea, and autoresuscitation in a closed-loop respiratory control model.

Authors:  Casey O Diekman; Peter J Thomas; Christopher G Wilson
Journal:  J Neurophysiol       Date:  2017-07-19       Impact factor: 2.714

9.  A physical model of mantis shrimp for exploring the dynamics of ultrafast systems.

Authors:  Emma Steinhardt; Nak-Seung P Hyun; Je-Sung Koh; Gregory Freeburn; Michelle H Rosen; Fatma Zeynep Temel; S N Patek; Robert J Wood
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-17       Impact factor: 11.205

10.  Predicting performance and plasticity in the development of respiratory structures and metabolic systems.

Authors:  Kendra J Greenlee; Kristi L Montooth; Bryan R Helm
Journal:  Integr Comp Biol       Date:  2014-05-08       Impact factor: 3.326

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.