arXiv (All)
open access
BrainLinear: A Linear Model for Brain Network Analysis in Sparse Tangent Subspaces
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- BrainLinear: A Linear Model for Brain Network Analysis in Sparse Tangent Subspaces#614276
- A Bayesian Spatiotemporal Model for Joint Estimation of Brain Activation and Connectivity in fMRI Studies#676426
- A computational framework for cortical learning#401864
- Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks#1143965
- Input Space Bifurcation Manifolds of Recurrent Neural Networks#492948
Record · ID 615243
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive