Discovering Low-Dimensional Causal Pathways between Multiple Interacting Neuronal Populations.
Evangelos SigalasThanh Vinh VoTze-Yun LeongCamilo LibedinskyPublished in: CogSci (2023)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- vector space
- high dimensional data
- euclidean space
- principal component analysis
- cortical areas
- data points
- causal models
- dimension reduction
- input space
- causal relationships
- feature space
- bayesian networks
- directed acyclic graph
- linear subspace
- causal reasoning
- nonlinear dimensionality reduction
- graph embedding
- biological pathways
- causal knowledge
- causal inference
- multi population
- single neuron