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相关论文: Head and Tail Localization of C. elegans

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We investigate how locomotory behavior is generated in the brain focusing on the paradigmatic connectome of nematode Caenorhabditis elegans (C. elegans) and on neuronal activity patterns that control forward locomotion. We map the neuronal…

适应与自组织系统 · 物理学 2020-06-17 Thomas Maertens , Eckehard Schöll , Jorge Ruiz , Philipp Hövel

The 1mm roundworm C. elegans is a model organism used in many sub-areas of biology to investigate different types of biological processes. In order to complement the n-vivo analysis with computer-based investigations, several methods have…

定量方法 · 定量生物学 2025-10-02 Nemanja Antonic , Monika Scholz , Aymeric Vellinger , Euphrasie Ramahefarivo , Elio Tuci

{\it Caenorhabditis elegans} nematode worms are the only animals with the known detailed neural connectivity diagram, well characterized genomics, and relatively simple quantifiable behavioral output. With this in mind, many researchers…

神经元与认知 · 定量生物学 2019-10-17 Jan Karbowski

Rapid advances in genetics, genomics, and imaging have given insight into the molecular and cellular basis of behaviour in a variety of model organisms with unprecedented detail and scope. It is increasingly routine to isolate behavioural…

定量方法 · 定量生物学 2013-01-08 André E. X. Brown , William R. Schafer

The nematode Caenorhabditis elegans (C. elegans) serves as an important model organism in a wide variety of biological studies. In this paper we introduce a pipeline for automated analysis of C. elegans imagery for the purpose of studying…

计算机视觉与模式识别 · 计算机科学 2020-05-12 Linfeng Wang , Shu Kong , Zachary Pincus , Charless Fowlkes

We apply topological data analysis to the behavior of C. elegans, a widely-studied model organism in biology. In particular, we use topology to produce a quantitative summary of complex behavior which may be applied to high-throughput data.…

代数拓扑 · 数学 2021-07-23 Ashleigh Thomas , Kathleen Bates , Alex Elchesen , Iryna Hartsock , Hang Lu , Peter Bubenik

The ability to acquire large-scale recordings of neuronal activity in awake and unrestrained animals poses a major challenge for studying neural coding of animal behavior. We present a new instrument capable of recording intracellular…

Neuromechanics aims to understand the link between an animal's neural activity and its physical behaviors. Recent advances in experimental and machine learning techniques enable simultaneous recordings of neural and locomotion dynamics over…

生物物理 · 物理学 2026-05-06 Alexander E. Cohen , Jörn Dunkel

Animal behaviors are sometimes decomposable into discrete, stereotyped elements. In one model, such behaviors are triggered by specific commands; in the extreme case, the discreteness of behavior is traced to the discreteness of action…

神经元与认知 · 定量生物学 2009-12-31 Greg J. Stephens , William S. Ryu , William Bialek

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

There is renewed interest in modeling and understanding the nervous system of the nematode $\textit{Caenorhabditis elegans}$ ($\textit{C. elegans}$), as this small model system provides a path to bridge the gap between nervous system…

神经元与认知 · 定量生物学 2025-05-20 Quilee Simeon , Anshul Kashyap , Konrad P Kording , Edward S Boyden

Limbless locomotors, from microscopic worms to macroscopic snakes, traverse complex, heterogeneous natural environments typically using undulatory body wave propagation. Theoretical and robophysical models typically emphasize body…

机器人学 · 计算机科学 2024-02-02 Tianyu Wang , Christopher Pierce , Velin Kojouharov , Baxi Chong , Kelimar Diaz , Hang Lu , Daniel I. Goldman

A major challenge in analyzing animal behavior is to discover some underlying simplicity in complex motor actions. Here we show that the space of shapes adopted by the nematode C. elegans is surprisingly low dimensional, with just four…

其他定量生物学 · 定量生物学 2016-01-05 Greg J Stephens , Bethany Johnson-Kerner , William Bialek , William S Ryu

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

As the bridge between genetic and physiological aspects, animal behaviour analysis is one of the most significant topics in biology and ecological research. However, identifying, tracking and recording animal behaviour are labour intensive…

计算机视觉与模式识别 · 计算机科学 2022-06-28 Ziping Jiang , Paul L. Chazot , Richard Jiang

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

Locomotion and gross morphology have been important phenotypes for C. elegans genetics since the inception of the field and remain relevant. In parallel with developments in genome sequencing and editing, phenotyping methods have become…

定量方法 · 定量生物学 2014-07-28 Eviatar I. Yemini , André E. X. Brown

We develop an artificial neural circuit for contour tracking and navigation inspired by the chemotaxis of the nematode Caenorhabditis elegans. In order to harness the computational advantages spiking neural networks promise over their…

神经与进化计算 · 计算机科学 2014-10-30 Shibani Santurkar , Bipin Rajendran

The brain is one of the most studied and highly complex systems in the biological world. It is the information center behind all vertebrate and most invertebrate life, and thus has become a major focus in current research. While many of…

神经元与认知 · 定量生物学 2015-03-19 Daniel J. Kelleher , Tyler M. Reese , Dylan T. Yott , Antoni Brzoska

It is now generally assumed that the heterogeneity of most networks in nature probably arises via preferential attachment of some sort. However, the origin of various other topological features, such as degree-degree correlations and…

适应与自组织系统 · 物理学 2010-03-05 Samuel Johnson , J. Marro , Joaquin J. Torres
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