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The roundworm C. elegans exhibits robust escape behavior in response to rapidly rising temperature. The behavior lasts for a few seconds, shows history dependence, involves both sensory and motor systems, and is too complicated to model…

Neurons and Cognition · Quantitative Biology 2019-06-19 Bryan C. Daniels , William S. Ryu , Ilya Nemenman

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…

Living systems continually respond to signals from the surrounding environment. Survival requires that their responses adapt quickly and robustly to the changes in the environment. One particularly challenging example is olfactory…

Neurons and Cognition · Quantitative Biology 2024-10-08 Kiri Choi , Will Rosenbluth , Isabella R. Graf , Nirag Kadakia , Thierry Emonet

The nervous system of the nematode soil worm Caenorhabditis elegans exhibits remarkable complexity despite the worm's small size. A general challenge is to better understand the relationship between neural organization and neural activity…

Neurons and Cognition · Quantitative Biology 2020-10-30 Alejandro Morales , Tom Froese

Understanding principles of neurolocomotion requires the synthesis of neural activity, sensory feedback, and biomechanics. The nematode \textit{C. elegans} is an ideal model organism for studying locomotion in an integrated neuromechanical…

Neurons and Cognition · Quantitative Biology 2021-06-08 Carter L. Johnson , Timothy J. Lewis , Robert D. Guy

Animals must integrate sensory cues with their current behavioral context to generate a suitable response. How this integration occurs is poorly understood. Previously we developed high throughput methods to probe neural activity in…

Neurons and Cognition · Quantitative Biology 2023-09-25 Sandeep Kumar , Anuj K Sharma , Andrew Tran , Andrew M Leifer

Animal behavior is often quantified through subjective, incomplete variables that may mask essential dynamics. Here, we develop a behavioral state space in which the full instantaneous state is smoothly unfolded as a combination of…

Neurons and Cognition · Quantitative Biology 2019-12-02 Tosif Ahamed , Antonio Carlos Costa , Greg J. Stephens

An organism's ability to move freely is a fundamental behaviour in the animal kingdom. To understand animal locomotion requires a characterisation of the material properties, as well as the biomechanics and physiology. We present a…

Biological Physics · Physics 2017-02-17 Netta Cohen , Thomas Ranner

To survive in ever-changing environments, living organisms need to continuously combine the ongoing external inputs they receive, representing present conditions, with their dynamical internal state, which includes influences of past…

Neurons and Cognition · Quantitative Biology 2024-02-09 Maria Sol Vidal-Saez , Oscar Vilarroya , Jordi Garcia-Ojalvo

Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow…

Neural and Evolutionary Computing · Computer Science 2016-08-08 Sakyasingha Dasgupta , Dennis Goldschmidt , Florentin Wörgötter , Poramate Manoonpong

Dissipative environments are ubiquitous in nature, from microscopic swimmers in low-Reynolds-number fluids to macroscopic animals in frictional media. In this study, motivated by various behaviours of {\it Caenorhabditis elegans} during…

Adaptation and Self-Organizing Systems · Physics 2025-04-15 Kenta Ishimoto , Clément Moreau , Johann Herault

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…

Biological Physics · Physics 2019-01-31 Takuma Sugi , Hiroshi Ito , Masaki Nishimura , Ken H. Nagai

C. elegans is the only animal for which a detailed neural connectivity diagram has been constructed. However, synaptic polarities in this diagram, and thus, circuit functions are largely unknown. Here, we deciphered the likely polarities of…

Neurons and Cognition · Quantitative Biology 2014-03-21 Franciszek Rakowski , Jagan Srinivasan , Paul W. Sternberg , Jan Karbowski

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,…

Biological Physics · Physics 2018-03-02 Charles Fieseler , James Kunert-Graf , J. Nathan Kutz

The nematode Caenorhabditis elegans is a well-known model organism used to investigate fundamental questions in biology. Motility assays of this small roundworm are designed to study the relationships between genes and behavior. Commonly,…

Computer Vision and Pattern Recognition · Computer Science 2015-05-19 Raphael Sznitman , Manaswi Gupta , Gregory D. Hager , Paulo E. Arratia , Josue Sznitman

Robots and self-driving vehicles face a number of challenges when navigating through real environments. Successful navigation in dynamic environments requires prioritizing subtasks and monitoring resources. Animals are under similar…

Robotics · Computer Science 2019-09-17 Jinwei Xing , Xinyun Zou , Jeffrey L. Krichmar

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…

Neurons and Cognition · Quantitative Biology 2020-02-05 Megan Morrison , Charles Fieseler , J. Nathan Kutz

Wireless sensor networks (WSNs) are composed of spatially distributed sensors and are considered vulnerable to attacks by worms and their variants. Due to the distinct strategies of worms propagation, the dynamic behavior varies depending…

Machine Learning · Computer Science 2022-09-22 Yifan Wang , Siqi Wang , Guangmo Tong

The Drosophila mushroom body (MB) is known to be involved in olfactory learning and memory; the synaptic plasticity of the Kenyon cell (KC) to mushroom body output neuron (MBON) synapses plays a key role in the learning process. Previous…

Neurons and Cognition · Quantitative Biology 2025-09-25 Katherine Xie , Gabriel Koch Ocker

Insects have long been recognized for their ability to navigate and return home using visual cues from their nest's environment. However, the precise mechanism underlying this remarkable homing skill remains a subject of ongoing…

Robotics · Computer Science 2024-05-08 Michiel Firlefyn , Jesse Hagenaars , Guido de Croon