Deep Networks as Paths on the Manifold of Neural Representations.
Richard D. LangeDevin KwokJordan Kyle MatelskyXinyue WangDavid RolnickKonrad KordingPublished in: TAG-ML (2023)
Keyphrases
- neural network
- recurrent networks
- distributed representations
- network analysis
- network architecture
- high dimensional
- network structure
- manifold learning
- network design
- optimal path
- path length
- data sets
- reinforcement learning
- spiking neurons
- social networks
- spiking neural networks
- topological features
- network size
- bio inspired
- low dimensional
- feature space