Neuroscience inspired neural operator for partial differential equations.
Shailesh GargSouvik ChakrabortyPublished in: J. Comput. Phys. (2024)
Keyphrases
- partial differential equations
- computational neuroscience
- level set
- differential operators
- anisotropic diffusion
- image denoising
- image processing
- neural mechanisms
- numerical solution
- spiking neural networks
- image enhancement
- energy functional
- numerical algorithms
- problems in image processing
- multiscale
- diffusion equation
- numerical methods
- curve evolution
- differential equations
- human brain
- evolution equation
- fourth order
- finite difference
- neural network
- finite difference method
- mathematical morphology
- pattern recognition
- nonlinear diffusion
- denoising
- boundary value problem
- ambrosio tortorelli
- difference equations
- lattice boltzmann
- noise removal
- numerical scheme
- spike trains
- diffusion process
- biologically inspired
- vector field
- computer vision
- machine learning