Assessment of human emotional reactions to visual stimuli “deep-dreamed” by artificial neural networks
This study demonstrates that the specific method of synthesizing images by maximizing small and precisely-selected parts of the CNN used in this work may lead to synthesis of visual stimuli that enhance or attenuate emotional reactions. This method paves the way for developing tools that stimulate, in a non-invasive way, to support wellbeing (manage stress, enhance mood) and to assist patients with certain mental conditions by complementing traditional methods of therapeutic interventions.
Authors
- Michael Villano (ORCID: https://orcid.org/0000-0002-5212-326X)
- Adam Czajka (ORCID: https://orcid.org/0000-0003-2379-2533)
- Timothy Redgrave
- Mahsa Mitcheff
- Agnieszka Marczak-Czajka
Institutions
- University of Notre Dame (US)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2024-12-24
- DOI
- https://doi.org/10.3389/fpsyg.2024.1509392
- Citations
- 2
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 0.69