CNMc generalizes traditional cluster-based network models to unseen control parameters by regressing transition probabilities and times after aligning state spaces across conditions with a Procrustes transformation.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A vestibular-inspired uncoupled reservoir topology achieves memory capacity and predictive performance equivalent to fully coupled reservoirs for linear systems under derived conditions, with approximate extension to nonlinear cases.
citing papers explorer
-
Control-oriented cluster-based reduced-order modelling
CNMc generalizes traditional cluster-based network models to unseen control parameters by regressing transition probabilities and times after aligning state spaces across conditions with a Procrustes transformation.
-
Vestibular reservoir computing
A vestibular-inspired uncoupled reservoir topology achieves memory capacity and predictive performance equivalent to fully coupled reservoirs for linear systems under derived conditions, with approximate extension to nonlinear cases.