OSF
open access
Assessing psychological, neural and AI-based representational geometries across multiple similarity properties
Assessing similarity between objects is a fundamental cognitive process, and similarity judgments can assess many different attributes, including objective properties (color, shape) or subjective appraisals (preference, scariness). Here, we investigated how psychological similarity across eight diff
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
- Assessing psychological, neural and AI-based representational geometries across multiple similarity properties#1237204
- A Unifying Framework for Concept-Based Representational Similarity#1354177
- Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations#924151
- Neuro-Symbolic Geometric Abstraction (NeuSOGA): From Observations to Symbolic Mathematical Representations#919920
- A Layered View of Shape Perception#737542
Record · ID 1241440
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