Abstract
The BioDynaMo project was created in CERN OpenLab V and aims to become a general platform for computer simulations for biological research. Important development stage was the code modernization by changing the architecture in a way to utilize multiple levels of parallelism offered by todays hardware. Individual neurons are implemented as spherical (for the soma) and cylindrical (for neurites) elements that have appropriate mechanical properties. The extracellular space is discretized, and allows for the diffusion of extracellular signaling molecules, as well as the physical interactions of the many developing neurons. This paper describes methods of the real-time growing brain dynamics simulation for BioDynaMo project, a specially the implementation of growth guidance factor diffusion via octree spatial structures.
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References
BioDynaMo. Code Repository on GitHub. https://github.com/BioDynaMo/biodynamo/
Breitwieser, L., Bauer, R., Di Meglio, A., Johard, L., Kaiser, M., Manca, M., Mazzara, M., Rademakers, F., Talanov, M.: The biodynamo project: creating a platform for large-scale reproducible biological simulations. In: CEUR Workshop Proceedings, vol. 1686 (2016)
Charlton, E.P., Powell, K.G.: An octree solution to conservation-laws over arbitrary regions (oscar). In: 35th Aerospace Sciences Meeting and Exhibit (1997)
Chilton, J.K.: Molecular mechanisms of axon guidance. Dev. Biol. 292(1), 13–24 (2006)
Coirier, W.J.: An adaptively-refined, cartesian, cell-based scheme for the euler and navier-stokes equations (1994)
Crank, J.: The Mathematics of Diffusion, 2nd edn. Clarendon Press, Oxford (1975)
Dmitrenok, I., Drobnyy, V., Johard, L., Mazzara, M.: Evaluation of spatial trees for simulation of biological tissue. CoRR, abs/1611.03358 (2016)
Harlow, F.H., Welch, J.E.: Numerical calculation of time-dependent viscous incompressible flow of fluid with free surface. Phys. Fluids 8(12), 2182–2189 (1965)
Hentschel, H.G., van Ooyen, A.: Models of axon guidance and bundling during development. Proc. Biol. Sci. 266(1434), 2231–2238 (1999)
Meagher, D.: Geometric modeling using octree encoding. Comput. Graph. Process. 19(2), 129–147 (1982)
Melton, J.E., Enomoto, F.Y., Berger, M.J.: 3D automatic cartesian grid generation for euler flows. In: 11th Computational Fluid Dynamics Conference 1993, pp. 959–969 (1993)
Samet, H.: The Design and Analysis of Spatial Data Structures. Addison-Wesley, Massachusetts (1990)
Strain, J.: Fast tree-based redistancing for level set computations. J. Comput. Phys. 152(2), 664–686 (1999)
Suleymanov, Y., Gafarov, F., Khusnutdinov, N.: Modeling of interstitial branching of axonal networks. J. Integr. Neurosci. 12(01), 103–116 (2013)
Zubler, F., Douglas, R.: A framework for modeling the growth and development of neurons and networks. Front. Comput. Neurosci. 3, 25 (2009)
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This work was funded by the subsidy of the Russian Government to support the Program of competitive growth of Kazan Federal University among world class academic centers and universities.
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Sabitov, A., Gafarov, F., Kugurakova, V., Abramov, V. (2018). The Implementation of Growth Guidance Factor Diffusion via Octree Spatial Structures for Neuronal Systems Simulation. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2017. Lecture Notes in Computer Science(), vol 10745. Springer, Cham. https://doi.org/10.1007/978-3-319-74521-3_18
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DOI: https://doi.org/10.1007/978-3-319-74521-3_18
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