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Related papers: Nonlinear control in the nematode C. elegans

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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…

Neurons and Cognition · Quantitative Biology 2015-09-04 James Kunert , Eli Shlizerman , Andrew Walker , J. Nathan Kutz

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…

Quantitative Methods · Quantitative Biology 2020-09-11 Antonio Carlos Costa , Tosif Ahamed , Greg J. Stephens

Recent whole brain imaging experiments on $\textit{C. elegans}$ has revealed that the neural population dynamics encode motor commands and stereotyped transitions between behaviors on low dimensional manifolds. Efforts to characterize the…

Quantitative Methods · Quantitative Biology 2020-04-15 Charles Fieseler , Manuel Zimmer , J. Nathan Kutz

C. elegans locomotion is composed of switches between forward and reversal states punctuated by turns. This locomotory capability is necessary for the nematode to move towards attractive stimuli, escape noxious chemicals, and explore its…

Neurons and Cognition · Quantitative Biology 2025-01-03 Megan Morrison , Lai-Sang Young

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…

Other Quantitative Biology · Quantitative Biology 2016-01-05 Greg J Stephens , Bethany Johnson-Kerner , William Bialek , William S Ryu

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

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…

Neurons and Cognition · Quantitative Biology 2020-08-18 Mochi Liu , Anuj K Sharma , Joshua W Shaevitz , Andrew M Leifer

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

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…

Adaptation and Self-Organizing Systems · Physics 2020-06-17 Thomas Maertens , Eckehard Schöll , Jorge Ruiz , Philipp Hövel

Brain research has been driven by enquiry for principles of brain structure organization and its control mechanisms. The neuronal wiring map of C. elegans, the only complete connectome available till date, presents an incredible opportunity…

Neurons and Cognition · Quantitative Biology 2016-11-28 Rahul Badhwar , Ganesh Bagler

Caenorhabditis elegans (C. elegans) illustrated remarkable behavioral plasticities including complex non-associative and associative learning representations. Understanding the principles of such mechanisms presumably leads to constructive…

Neurons and Cognition · Quantitative Biology 2017-03-28 Ramin M. Hasani , Magdalena Fuchs , Victoria Beneder , Radu Grosu

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

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

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…

Biological Physics · Physics 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…

Neurons and Cognition · Quantitative Biology 2009-12-31 Greg J. Stephens , William S. Ryu , William Bialek

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

Reduced motor control is one of the most frequent features associated with aging and disease. Nonlinear and fractal analyses have proved to be useful in investigating human physiological alterations with age and disease. Similar findings…

Quantitative Methods · Quantitative Biology 2017-09-06 Luiz G. A. Alves , Peter B. Winter , Leonardo N. Ferreira , Renée M. Brielmann , Richard I. Morimoto , Luís A. N. Amaral

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

To establish the relationship between locomotory behavior and dynamics of neural circuits in the nematode C. elegans we combined molecular and theoretical approaches. In particular, we quantitatively analyzed the motion of C. elegans with…

Neurons and Cognition · Quantitative Biology 2008-06-10 Jan Karbowski , Gary Schindelman , Chris J. Cronin , Adeline Seah , Paul W. Sternberg

Recordings of whole brain activity with single neuron resolution are now feasible in simple organisms. Yet, it is still challenging to appropriately simplify such complex, noisy, and multivariate data in order to reveal general principles…

Neurons and Cognition · Quantitative Biology 2017-11-27 Connor Brennan , Alex Proekt
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