ArticleIntegrative and comparative biology2012
Using computational and mechanical models to study animal locomotion.
Article in Integrative and comparative biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
12 citing papers in PubMed.
- Kinematics and Flow Field Analysis ofBiomimetics (Basel, Switzerland) · 2024Article
- Comparative analysis of tardigrade locomotion across life stage, species, and disulfiram treatment.PloS one · 2024Article
- Linking neural circuits to the mechanics of animal behavior inFrontiers in neural circuits · 2023Review
- Review
- A neuromechanical model for Drosophila larval crawling based on physical measurements.BMC biology · 2022Article
- Swimming and defence: competing needs across ontogeny in armoured fishes (Agonidae).Journal of the Royal Society, Interface · 2020Article
- Red muscle activity in bluegill sunfish Lepomis macrochirus during forward accelerations.Scientific reports · 2019Article
- Neuromusculoskeletal model that walks and runs across a speed range with a few motor control parameter changes based on the muscle synergy hypothesis.Scientific reports · 2019Article
- The role of curvature feedback in the energetics and dynamics of lamprey swimming: A closed-loop model.PLoS computational biology · 2018Article
- Measuring behavior across scales.BMC biology · 2018Review
- Ontogenetic changes in larval swimming and orientation of pre-competent sea urchin Arbacia punctulata in turbulence.The Journal of experimental biology · 2016Article
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Recent advances in computational methods have made realistic large-scale simulations of animal locomotion possible. This has resulted in numerous mathematical and computational studies of animal movement through fluids and over substrates with the purpose of better understanding organisms' performance and improving the design of vehicles moving through air and water and on land. This work has also motivated the development of improved numerical methods and modeling techniques for animal locomotion that is characterized by the interactions of fluids, substrates, and structures. Despite the large body of recent work in this area, the application of mathematical and numerical methods to improve our understanding of organisms in the context of their environment and physiology has remained relatively unexplored. Nature has evolved a wide variety of fascinating mechanisms of locomotion that exploit the properties of complex materials and fluids, but only recently are the mathematical, computational, and robotic tools available to rigorously compare the relative advantages and disadvantages of different methods of locomotion in variable environments. Similarly, advances in computational physiology have only recently allowed investigators to explore how changes at the molecular, cellular, and tissue levels might lead to changes in performance at the organismal level. In this article, we highlight recent examples of how computational, mathematical, and experimental tools can be combined to ultimately answer the questions posed in one of the grand challenges in organismal biology: "Integrating living and physical systems."
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.