Convergence and Approximation of Invariant Measures for Neural Field Lattice Models under Noise Perturbation.
Tomás CaraballoZhang ChenLingyu LiPublished in: SIAM J. Appl. Dyn. Syst. (2024)
Keyphrases
- probabilistic model
- statistical models
- distributed representations
- image processing
- learning rules
- model selection
- biologically inspired
- signal to noise ratio
- neural model
- evaluation metrics
- approximation algorithms
- affine transformation
- convergence rate
- neural network
- hidden markov models
- lower bound
- learning algorithm