Application of the Loewner Equation for Neurite Outgrowth Mechanism
Stochastic Loewner evolution (SLE), which was discovered by Schramm, is a kind of growth processes described by the Loewner equation having a stochastic driving function. The SLE is used as a model for random curves in statistical mechanics. On the other hand, there exist many types of self-organize...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/84652 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Application of the Loewner Equation for Neurite Outgrowth Mechanism
- Circular Systems Design: Seeking Outgrowth Based on Disruption
- Deep learning of material transport in complex neurite networks
- Interaction Between the Spatio-Temporal Learning Rule (Non Hebbian) and Hebbian in Single Cells: A Cellular Mechanism of Reinforcement Learning
- Chemical Nanomanipulation of Two-Dimensional Nanosheets and Its Applications
- Equations of Relativistic and Quantum Mechanics (without Spin)
- Quantum Algorithms for Nonlinear Equations in Fluid Mechanics