Hodge-Kodaira decomposition of evolving neural networks
From MaRDI portal
Publication:889355
DOI10.1016/j.neunet.2014.05.021zbMath1368.92015OpenAlexW2017193604WikidataQ48700251 ScholiaQ48700251MaRDI QIDQ889355
Publication date: 6 November 2015
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2014.05.021
chaostopologyspike-timing-dependent plasticityphase oscillatorsco-evolving network dynamicsHodge-Kodaira decomposition
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Limit theorems for Betti numbers of random simplicial complexes
- The neural ring: an algebraic tool for analyzing the intrinsic structure of neural codes
- Statistical ranking and combinatorial Hodge theory
- Recent development in rigorous computational methods in dynamical systems
- Topology of random clique complexes
- Harmonic fields in Riemannian manifolds (Generalized potential theory)
- Convex Graph Invariants
- Spike-Timing-Dependent Plasticity in Balanced Random Networks
- Complex Systems: Chaos and Beyond
- Paths in graphs
- Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity
This page was built for publication: Hodge-Kodaira decomposition of evolving neural networks