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Complex networks can often be decomposed into less complex sub-networks whose structures can give hints about the functional organization of the network as a whole. However, these structural motifs can only tell one part of the functional…

分子网络 · 定量生物学 2015-05-20 Jifeng Qian , Arend Hintze , Christoph Adami

Animal locomotion is often subject to constraints arising from anatomical/physiological asymmetries. We use the nematode C.~elegans as a minimal model system to ask whether such constraints might shape locomotion patterns optimized during…

The nematode Caenorhabditis elegans responds to an impressive range of chemical, mechanical and thermal stimuli and is extensively used to investigate the molecular mechanisms that mediate chemosensation, mechanotransduction and…

其他定量生物学 · 定量生物学 2008-02-21 George D. Tsibidis , Nektarios Tavernarakis

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

The nematode Caenorhabditis elegans, with information on neural connectivity, three-dimensional position and cell linage provides a unique system for understanding the development of neural networks. Although C. elegans has been widely…

生物物理 · 物理学 2011-01-17 Sreedevi Varier , Marcus Kaiser

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…

神经元与认知 · 定量生物学 2019-12-02 Tosif Ahamed , Antonio Carlos Costa , 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

We study the structural properties of the neural network of the C.elegans (worm) from a directed graph point of view. The Google matrix analysis is used to characterize the neuron connectivity structure and node classifications are…

物理与社会 · 物理学 2014-05-07 Vivek Kandiah , Dima L. Shepelyansky

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

How do we capture the breadth of behavior in animal movement, from rapid body twitches to aging? Using high-resolution videos of the nematode worm $C. elegans$, we show that a single dynamics connects posture-scale fluctuations with…

生物物理 · 物理学 2024-09-02 Antonio C. Costa , Tosif Ahamed , David Jordan , Greg J. Stephens

We study the empirical version of halfspace depths with the objective of establishing a connection between the rates of convergence and the tail behaviour of the corresponding underlying distributions. The intricate interplay between the…

统计理论 · 数学 2025-06-03 Sibsankar Singha , Marie Kratz , Sreekar Vadlamani

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

We introduce SIM-CE, an advanced, user-friendly modeling and simulation environment in Simulink for performing multi-scale behavioral analysis of the nervous system of Caenorhabditis elegans (C. elegans). SIM-CE contains an implementation…

神经元与认知 · 定量生物学 2017-03-28 Ramin M. Hasani , Victoria Beneder , Magdalena Fuchs , David Lung , Radu Grosu

Advances in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution in awake and behaving animals. Brain motion in these recordings pose a unique challenge. The location of individual neurons must…

神经元与认知 · 定量生物学 2017-05-22 Jeffrey P. Nguyen , Ashley N. Linder , George S. Plummer , Joshua W. Shaevitz , Andrew M. Leifer

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,…

计算机视觉与模式识别 · 计算机科学 2015-05-19 Raphael Sznitman , Manaswi Gupta , Gregory D. Hager , Paulo E. Arratia , Josue Sznitman

Plant parasitic nematodes cause damage to crop plants on a global scale. Robust detection on image data is a prerequisite for monitoring such nematodes, as well as for many biological studies involving the nematode C. elegans, a common…

计算机视觉与模式识别 · 计算机科学 2020-04-22 Long Chen , Martin Strauch , Matthias Daub , Xiaochen Jiang , Marcus Jansen , Hans-Georg Luigs , Susanne Schultz-Kuhlmann , Stefan Krüssel , Dorif Merhof

Determining neuronal identity in imaging data is an essential task in neuroscience, facilitating the comparison of neural activity across organisms. Cross-organism comparison, in turn, enables a wide variety of research including…

神经元与认知 · 定量生物学 2022-11-02 Arvind Seshan

Advanced volumetric imaging methods and genetically encoded activity indicators have permitted a comprehensive characterization of whole brain activity at single neuron resolution in \textit{Caenorhabditis elegans}. The constant motion and…

定量方法 · 定量生物学 2022-10-12 Yuxiang Wu , Shang Wu , Xin Wang , Chengtian Lang , Quanshi Zhang , Quan Wen , Tianqi Xu

Given the inner complexity of the human nervous system, insight into the dynamics of brain activity can be gained from understanding smaller and simpler organisms, such as the nematode C. Elegans. The behavioural and structural biology of…

神经元与认知 · 定量生物学 2021-07-15 Gonçalo Mestre , Ruxandra Barbulescu , Arlindo L. Oliveira , L. Miguel Silveira

Control is essential to the functioning of any neural system. Indeed, under healthy conditions the brain must be able to continuously maintain a tight functional control between the system's inputs and outputs. One may therefore hypothesise…