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Understanding physical rules underlying collective motions requires perturbation of controllable parameters in self-propelled particles. However, controlling parameters in animals is generally not easy, which makes collective behaviours of…

生物物理 · 物理学 2019-01-31 Takuma Sugi , Hiroshi Ito , Masaki Nishimura , Ken H. Nagai

Abrupt changes in behavior can often be associated with changes in underlying behavioral states. When placed off food, the foraging behavior of C. elegans can be described as a change between an initial local-search behavior characterized…

神经元与认知 · 定量生物学 2025-06-03 Andrew Margolis , Andrew Gordus

Recent whole-brain calcium imaging recordings of the nematode C. elegans have demonstrated that neural activity is dominated by dynamics on a low-dimensional manifold that can be clustered according to behavioral states. Despite progress in…

神经元与认知 · 定量生物学 2020-02-05 Megan Morrison , Charles Fieseler , J. Nathan Kutz

Undulatory locomotion of microorganisms like soil-dwelling worms and spermatozoa, in structured environments, is ubiquitous in nature. They navigate complex environments consisting of fluids and obstacles, negotiating hydrodynamic effects…

流体动力学 · 物理学 2010-10-20 Trushant S. Majmudar , Eric Keaveny , Mike Shelley , Jun Zhang

Organisms move through the world by changing their shape, and here we explore the mapping from shape space to movements in the nematode C. elegans as it crawls on a planar agar surface. We characterize the statistics of the trajectories…

神经元与认知 · 定量生物学 2016-01-05 Greg J Stephens , Bethany Johnson-Kerner , William Bialek , William S Ryu

The dynamics of complex systems generally include high-dimensional, non-stationary and non-linear behavior, all of which pose fundamental challenges to quantitative understanding. To address these difficulties we detail a new approach based…

定量方法 · 定量生物学 2020-09-11 Antonio Carlos Costa , Tosif Ahamed , Greg J. Stephens

Animals employ different strategies for relating sensory input to behavioral output to navigate sensory environments, but what strategy to use, when to switch and why remain unclear. In C. elegans, navigation is composed of 'steering' and…

神经元与认知 · 定量生物学 2025-08-04 Kevin S. Chen , Andrew M. Leifer , Jonathan W. Pillow

We experimentally studied the locomotion of the nematode C. elegans in both fluidic and granular media. In this fluid dynamics video, we show the motility gaits of the nematode in these two environments. The motility of the nematode C.…

流体动力学 · 物理学 2011-10-17 X. N. Shen , G. Juarez , P. E. Arratia

Caenorhabditis elegans, a free-living soil nematode, propels itself by producing undulatory body motion and displays a rich variety of body shapes and trajectories during its locomotion in complex environments. Here we show that the complex…

We exploit the reduced space of C. elegans postures to develop a novel tracking algorithm which captures both simple shapes and also self-occluding coils, an important, yet unexplored, component of worm behavior. We apply our algorithm to…

定量方法 · 定量生物学 2016-11-01 Onno D Broekmans , Jarlath B Rodgers , William S Ryu , Greg J Stephens

We introduce a new algorithm for finding robust circular coordinates on data that is expected to exhibit recurrence, such as that which appears in neuronal recordings of C. elegans. Techniques exist to create circular coordinates on a…

机器学习 · 统计学 2024-12-25 Andrew J. Blumberg , Mathieu Carrière , Jun Hou Fung , Michael A. Mandell

A quantitative understanding of how sensory signals are transformed into motor outputs places useful constraints on brain function and helps reveal the brain's underlying computations. We investigate how the nematode C. elegans responds to…

神经元与认知 · 定量生物学 2020-08-18 Mochi Liu , Anuj K Sharma , Joshua W Shaevitz , Andrew M Leifer

Animals adjust their behavioral response to sensory input adaptively depending on past experiences. The flexible brain computation is crucial for survival and is of great interest in neuroscience. The nematode C. elegans modulates its…

神经元与认知 · 定量生物学 2024-02-26 Kevin S. Chen , Anuj K. Sharma , Jonathan W. Pillow , Andrew M. Leifer

Many dynamical systems found in biology, ranging from genetic circuits to the human brain to human social systems, are inherently computational. Although extensive research has explored their resulting functions and behaviors, the…

神经元与认知 · 定量生物学 2025-04-15 Junang Li , Andrew M. Leifer , David H. Wolpert

Behavioural experiments often happen in specialised arenas, but this may confound the analysis. To address this issue, we provide tools to study mice in the home-cage environment, equipping biologists with the possibility to capture the…

计算机视觉与模式识别 · 计算机科学 2024-06-25 Michael P. J. Camilleri , Rasneer S. Bains , Christopher K. I. Williams

We develop a biophysically realistic model of the nematode C. elegans that includes: (i) its muscle structure and activation, (ii) key connectomic activation circuitry, and (iii) a weighted and time-dynamic proprioception. In combination,…

生物物理 · 物理学 2018-03-02 Charles Fieseler , James Kunert-Graf , J. Nathan Kutz

Biological circuits such as neural or gene regulation networks use internal states to map sensory input to an adaptive repertoire of behavior. Characterizing this mapping is a major challenge for systems biology, and though experiments that…

神经元与认知 · 定量生物学 2022-10-12 Edward D. Lee , Xiaowen Chen , Bryan C. Daniels

The small (1 mm) nematode $\textit{Caenorhabditis elegans}$ (Corsi [1], wormbook.org) has become widely used as a model organism; in particular, the $\textit{C. elegans}$ connectome has been completely mapped, and $\textit{C. elegans}$…

生物物理 · 物理学 2021-10-22 Anshul Singhvi , Harold M. Hastings , Jenny Magnes , Susannah G. Zhang

The millimeter-long soil-dwelling nematode {\it C. elegans} propels itself by producing undulations that propagate along its body and turns by assuming highly curved shapes. According to our recent study [PLoS ONE \textbf{7}, e40121 (2012)]…

流体动力学 · 物理学 2019-01-18 Alejandro Bilbao , Eligiusz Wajnryb , Siva Vanapalli , Jerzy Blawzdziewicz

The neural dynamics of the nematode C. elegans are experimentally low-dimensional and correspond to discrete behavioral states, where previous modeling work has found neural proxies for some of these states. Experimental results further…

神经元与认知 · 定量生物学 2015-09-04 James Kunert , Eli Shlizerman , Andrew Walker , J. Nathan Kutz