TY - GEN

T1 - On prerequisites for revealing c. Elegans backward crawling mechanism through computer simulation of key involved subsystems

AU - Palyanov, Andrey Yu

AU - Palyanova, Natalia V.

N1 - Funding Information: Manuscript received October 31, 2019. This work was partially supported by Russian Foundation for Basic Research grant no. 18-07-00903 and by Russian Ministry of Science and Education under 5–100 Excellence Programme. Publisher Copyright: © 2019 IEEE.

PY - 2019/10

Y1 - 2019/10

N2 - Relatively simple and exceptionally well-studied invertebrate organism, Caenorhabditis elegans, is expected to become the first one for which a virtual 'twin' will be developed. Detailed biologically reasonable computational model of the organism, reproducing its neurophysiology, morphology and biomechanics, will allow to determine the gap between the real nervous systems and their current numerical models. This problem remains one of the key interdisciplinary challenges, requiring efforts both in neuroscience and information technologies. Moreover, even for C. Elegans the entire nervous system remains too sophisticated (for current level of science and technology) to build its complete model, that's why here we focus on a separate part of C. Elegans nervous system responsible for just one function (with still unknown mechanism)-backwards crawling movement. The choice was caused by the evidence of its ability to function independently from many other quite complex nervous system's parts and mechanisms, which is a big luck. Thus we propose a conception and strategy, based on integration of available experimental data, models and simulation software, which should lead to successful construction of backward crawling computational model, including neuronal level activity, muscular cells contraction and movement of the worm body interacting with virtual physical environment.

AB - Relatively simple and exceptionally well-studied invertebrate organism, Caenorhabditis elegans, is expected to become the first one for which a virtual 'twin' will be developed. Detailed biologically reasonable computational model of the organism, reproducing its neurophysiology, morphology and biomechanics, will allow to determine the gap between the real nervous systems and their current numerical models. This problem remains one of the key interdisciplinary challenges, requiring efforts both in neuroscience and information technologies. Moreover, even for C. Elegans the entire nervous system remains too sophisticated (for current level of science and technology) to build its complete model, that's why here we focus on a separate part of C. Elegans nervous system responsible for just one function (with still unknown mechanism)-backwards crawling movement. The choice was caused by the evidence of its ability to function independently from many other quite complex nervous system's parts and mechanisms, which is a big luck. Thus we propose a conception and strategy, based on integration of available experimental data, models and simulation software, which should lead to successful construction of backward crawling computational model, including neuronal level activity, muscular cells contraction and movement of the worm body interacting with virtual physical environment.

KW - C. Elegans

KW - computational modeling

KW - crawling

KW - movement

KW - muscles

KW - neurons

KW - simulation

KW - stretch receptors

UR - http://www.scopus.com/inward/record.url?scp=85079069215&partnerID=8YFLogxK

U2 - 10.1109/SIBIRCON48586.2019.8958238

DO - 10.1109/SIBIRCON48586.2019.8958238

M3 - Conference contribution

AN - SCOPUS:85079069215

T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

SP - 944

EP - 949

BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019

Y2 - 21 October 2019 through 27 October 2019

ER -