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A neuromechanical model for Drosophila larval crawling based on physical measurements.
BMC Biol
June 2022
Department of Complexity Science and Engineering, Graduate School of Frontier Science, the University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8561, Japan.
Background: Animal locomotion requires dynamic interactions between neural circuits, the body (typically muscles), and surrounding environments. While the neural circuitry of movement has been intensively studied, how these outputs are integrated with body mechanics (neuromechanics) is less clear, in part due to the lack of understanding of the biomechanical properties of animal bodies. Here, we propose an integrated neuromechanical model of movement based on physical measurements by taking Drosophila larvae as a model of soft-bodied animals.
View Article and Find Full Text PDFComplementary feedback control enables effective gaze stabilization in animals.
Proc Natl Acad Sci U S A
May 2022
Department of Mechanical Engineering, Pennsylvania State University, University Park, PA 16802.
Article Synopsis
- Animals like fruit flies use coordination of head, body, and eye movements to stabilize their gaze while navigating visually dynamic environments.
- The study combines experimental measurements and mathematical modeling to reveal that body movements react to the speed of visual motion, while head movements respond to its acceleration, allowing for effective gaze stabilization across various visual frequencies.
- Findings suggest that flies and other animals employ a unique type of control, similar to engineering systems, which may indicate common evolutionary mechanisms for vision across different species, including humans and bio-inspired robots.
Computational Modeling of Spinal Locomotor Circuitry in the Age of Molecular Genetics.
Int J Mol Sci
June 2021
Department of Neurobiology and Anatomy, College of Medicine, Drexel University, Philadelphia, PA 19129, USA.
Neuronal circuits in the spinal cord are essential for the control of locomotion. They integrate supraspinal commands and afferent feedback signals to produce coordinated rhythmic muscle activations necessary for stable locomotion. For several decades, computational modeling has complemented experimental studies by providing a mechanistic rationale for experimental observations and by deriving experimentally testable predictions.
View Article and Find Full Text PDFControl of transitions between locomotor-like and paw shake-like rhythms in a model of a multistable central pattern generator.
J Neurophysiol
September 2018
Neuroscience Institute, Georgia State University, Atlanta, Georgia.
The ability of the same neuronal circuit to control different motor functions is an actively debated concept. Previously, we showed in a model that a single multistable central pattern generator (CPG) could produce two different rhythmic motor patterns, slow and fast, corresponding to cat locomotion and paw shaking. A locomotor-like rhythm (~1 Hz) and a paw shake-like rhythm (~10 Hz) did coexist in our model, and, by applying a single pulse of current, we could switch the CPG from one regime to another (Bondy B, Klishko AN, Edwards DH, Prilutsky BI, Cymbalyuk G.
View Article and Find Full Text PDFNeuromechanical simulation of the locust jump.
J Exp Biol
April 2010
Departments of Biology, Georgia State University, Atlanta, GA 30303, USA.
The neural circuitry and biomechanics of kicking in locusts have been studied to understand their roles in the control of both kicking and jumping. It has been hypothesized that the same neural circuit and biomechanics governed both behaviors but this hypothesis was not testable with current technology. We built a neuromechanical model to test this and to gain a better understanding of the role of the semi-lunar process (SLP) in jump dynamics.
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