Conceptio › Archive › Zenodo (CERN)
Zenodo (CERN) open access

Low-Effort Attention as Free-Energy Optimization via Cingulo–Autonomic Control

Tang, Rongxiang et al.
Zenodo (CERN) · Papers
Open Source ↗
Introduction Active inference models of attention and self-control typically emphasize effortful precision weighting implemented through executive control. However, empirical findings indicate that attentional stability and self-regulation can improve under minimal cognitiv
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

Record · ID 1335469
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