Tracing aesthetic experience from perception and conception to appraisal using deep convolutional neural networks
Open Access
Abstract
No abstract availableKeywords
Funding Information
- European Research Council (GRAPPA 101053925)
- European Commission
- Fonds Wetenschappelijk Onderzoek (G0D3322N)
This publication has 39 references indexed in Scilit:
- Rethinking neuroaesthetics: Toward a multidimensional and integrative science of aesthetic experienceNeuron, 2026
- Calista: A deep learning-based system for understanding and evaluating website aestheticsInternational Journal of Human-Computer Studies, 2023
- CNNs reveal the computational implausibility of the expertise hypothesisiScience, 2023
- Order, complexity, and aesthetic appreciation.Psychology of Aesthetics, Creativity, and the Arts, 2020
- Quantifying visual aesthetics based on processing fluency theory: Four algorithmic measures for antecedents of aesthetic preferences.Psychology of Aesthetics, Creativity, and the Arts, 2018
- Move me, astonish me… delight my eyes and brain: The Vienna Integrated Model of top-down and bottom-up processes in Art Perception (VIMAP) and corresponding affective, evaluative, and neurophysiological correlatesPhysics of Life Reviews, 2017
- Effect size guidelines for individual differences researchersPersonality and Individual Differences, 2016
- Where does brain neural activation in aesthetic responses to visual art occur? Meta-analytic evidence from neuroimaging studiesNeuroscience & Biobehavioral Reviews, 2016
- NeuroaestheticsTrends in Cognitive Sciences, 2014
- Brain correlates of aesthetic expertise: A parametric fMRI studyBrain and Cognition, 2009