OSF
open access
A General Neural Network Approach for Fitting and Comparing Attentional Decision-Making Models
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
- Neural correlates of attentional capture in visual search#642920
- Fast and trustworthy nowcasting of dengue fever: a case study using attention-based probabilistic neural networks in São Paulo, Brazil#260686
- Nonconscious perception, conscious awareness and attention#697546
- The General Theory of Localization Methods#1069805
- The attentional capacity of visual search under flicker conditions#75224
Record · ID 413055
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