A feature-based computational account of individual and sequential variability 
in aesthetics

Brielmann, A

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Talk

A feature-based computational account of individual and sequential variability in aesthetics

MPS-Authors

/persons/resource/persons220274

Brielmann, A
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Brielmann, A. (2022). A feature-based computational account of individual and sequential variability in aesthetics. Talk presented at Eberhard-Karls-Universität, Mathematisch-Naturwissenschaftliche Fakultät, Fachbereich Psychologie. Tübingen, Germany. 2022-05-02.

Cite as: https://hdl.handle.net/21.11116/0000-000A-E32F-2

Abstract

There is no abstract available