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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…

Molecular Networks · Quantitative Biology 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…

Neurons and Cognition · Quantitative Biology 2024-01-17 W. Mathijs Rozemuller , Steffen Werner , Antonio Carlos Costa , Liam O'Shaughnessy , Greg J. Stephens , Thomas S. Shimizu

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…

Other Quantitative Biology · Quantitative Biology 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…

Neurons and Cognition · Quantitative Biology 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…

Biological Physics · Physics 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…

Neurons and Cognition · Quantitative Biology 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…

Machine Learning · Statistics 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…

Physics and Society · Physics 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…

Neurons and Cognition · Quantitative Biology 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…

Biological Physics · Physics 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…

Statistics Theory · Mathematics 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…

Neurons and Cognition · Quantitative Biology 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…

Neurons and Cognition · Quantitative Biology 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…

Neurons and Cognition · Quantitative Biology 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,…

Computer Vision and Pattern Recognition · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Neurons and Cognition · Quantitative Biology 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…

Quantitative Methods · Quantitative Biology 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…

Neurons and Cognition · Quantitative Biology 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…

Neurons and Cognition · Quantitative Biology 2018-05-29 Emma K. Towlson , Petra E. Vertes , Gang Yan , Yee Lian Chew , Denise S. Walker , William R. Schafer , Albert-Laszlo Barabasi