Казанский (Приволжский) федеральный университет, КФУ
КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ
 
THE IMPLEMENTATION OF GROWTH GUIDANCE FACTOR DIFFUSION VIA OCTREE SPATIAL STRUCTURES FOR NEURONAL SYSTEMS SIMULATION
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2018
Языканглийский
  • Абрамов Виталий Денисович, автор
  • Гафаров Фаиль Мубаракович, автор
  • Кугуракова Влада Владимировна, автор
  • Сабитов Алмаз Раушанович, автор
  • Библиографическое описание на языке оригинала Sabitov A, Gafarov F, Kugurakova V, Abramov D, The implementation of growth guidance factor diffusion via octree spatial structures for neuronal systems simulation // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2018. - Vol.10745 LNCS, Is.. - P.158-163.
    Аннотация 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. ? Springer International Publishing AG 2018.
    Ключевые слова Biodynamo, Diffusion, Growth guidance factor, Neuronal systems, simulation, Octree, Octree spatial structures
    Название журнала Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042066461&doi=10.1007%2f978-3-319-74521-3_18&partnerID=40&md5=6b6e96f456b0333f5f05fdbc5acedefe
    Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку https://repository.kpfu.ru/?p_id=176017

    Полная запись метаданных