Work

Memory diffusion: Using generative AI to create an image database for memory research

Year: 2025

Type: conference-paper

Abstract: When we memorize visual stimuli, their content is processed at multiple levels, ranging from the fine-grained perceptual details to the semantic concepts and categories.However, it is unclear to which extend low-and high-level information is maintained in memory over time.Real-world stimuli are not ideal for investigating this question, as they often exhibit strong correlations between processing levels: Conceptually similar objects tend to share similar visual features.Using generative AI we created a new database of 496 image pairs orthogonalizing semantic (word2vec) and perceptual (CoreNet-S) information.Specifically, we generated image pairs that either (a) depict objects from distinct semantic concepts but are perceptually similar, or (b) show the same object but are perceptually dissimilar.

Source: MPG.PuRe (Max Planck Society)

Authors: Kamp, F., Born, F. ; https://orcid.org/0009-0002-1214-4864, Spitzer, B. ; https://orcid.org/0000-0001-9752-932X

Institutions: Max Planck Institute for Human Development, Max Planck Institute for Human Cognitive and Brain Sciences

Language: English

Topic: Memory Processes and Influences

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7128130491

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