Article

Controlled real-world object generation for visual memory experimentation and theory-building

2026-06-11

Abstract excerpt

<p>Real-world objects are visually rich and semantically structured, but due to this complexity, theories of visual memory are generally tested with more tractable stimulus spaces, such as color. To address the challenge of studying real-world objects with high experimental control,we used a novel generative artificial intelligence (AI) Concept-based Controllable Generation (CoCoG) model, grounded in human similar...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9b3dd975-46fe-5d6c-b73a-99f3ee517a63
DOI: 10.31234/osf.io/jz7uf_v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Controlled real-world object generation for visual memory experimentation and theory-buildingDOI 10.31234/osf.io/jz7uf_v2Read

Controlled real-world object generation for visual memory experimentation and theory-buildingSemantic proximity Read

Scaling models of visual working memory to natural imagesSemantic proximity Read

Comparing a computational model of visual problem solving with human vision on a difficult vision taskSemantic proximity Read

TYCOV: A Year-Long Open Behavioral Study on Human Ability to Detect AI-Generated ImagesSemantic proximity Read

CogNGen: Constructing the kernel of a hyperdimensional predictive processing cognitive architectureSemantic proximity Read

Reverse-engineering what makes a symbol memorableSemantic proximity Read