Viola Sophie Störmer
Affiliations: | Max Planck Institute, Stuttgart, Baden-Württemberg, Germany |
Area:
Visual and auditory attention, cross-modal attentionGoogle:
"Viola Störmer"Mean distance: 13.8 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentor| Steven Hillyard | grad student | Max Planck Institute | |
| John J. McDonald | grad student | Simon Fraser |
Children
Sign in to add trainee| Chaipat Chunharas | grad student | 2016- | UCSD |
| Jonathan M. Keefe | grad student | 2017- | UCSD |
| Janna W. Wennberg | grad student | 2019- | UCSD |
| Angus Chapman | grad student | 2017-2022 | |
| Douglas A Addleman | post-doc | 2020-2023 | Dartmouth |
BETA: Related publications
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Publications
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| Ortego K, Störmer VS. (2024) Similarity in feature space dictates the efficiency of attentional selection during ensemble processing. Psychonomic Bulletin & Review |
| Sayed K, Störmer VS. (2024) Task-irrelevant inputs alter ensemble representations of faces within the spatial focus of attention. Journal of Experimental Psychology. Human Perception and Performance |
| Chapman AF, Störmer VS. (2024) Target-distractor similarity predicts visual search efficiency but only for highly similar features. Attention, Perception & Psychophysics. 86: 1872-1882 |
| Williams JR, Störmer VS. (2024) Cutting Through the Noise: Auditory Scenes and Their Effects on Visual Object Processing. Psychological Science. 9567976241237737 |
| Addleman DA, Rajasingh R, Störmer VS. (2024) Attention to object categories: Selection history determines the breadth of attentional tuning during real-world object search. Journal of Experimental Psychology. General |
| Chung YH, Tam J, Wyble B, et al. (2024) Conceptual information of meaningful objects is stored incidentally. Journal of Experimental Psychology. Learning, Memory, and Cognition |
| Chapman AF, Störmer VS. (2024) Representational structures as a unifying framework for attention. Trends in Cognitive Sciences |
| Brady TF, Störmer VS. (2023) Comparing memory capacity across stimuli requires maximally dissimilar foils: Using deep convolutional neural networks to understand visual working memory capacity for real-world objects. Memory & Cognition |
| Chung YH, Brady TF, Störmer VS. (2023) Sequential encoding aids working memory for meaningful objects' identities but not for their colors. Memory & Cognition |
| Itthipuripat S, Phangwiwat T, Wiwatphonthana P, et al. (2023) Dissociable neural mechanisms underlie the effects of attention on visual appearance and response bias. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |