Dynamical manifold dimensionality as characterization measure of chimera states in bursting neuronal networks.
Olesia DogonashevaDaniil RadushevBoris S. GutkinDenis ZakharovPublished in: CoRR (2023)
Keyphrases
- high dimensional
- neuronal networks
- similarity measure
- feature space
- intrinsic dimension
- dimensionality reduction
- manifold learning
- lower dimensional
- information content
- information theoretic
- low dimensional
- neural network
- information theory
- geometric structure
- small size
- distance measure
- diffusion maps
- image sequences
- genetic algorithm