SCIoI Alumni

Lynn Schmittwilken

Doctoral Researcher

Vision Science

Lynn joined SCIoI as a doctoral researcher in September 2019


TU Berlin

   

Photo: SCIoI

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Lynn Schmittwilken

Lynn Schmittwilken

Photo: SCIoI

Lynn Schmittwilken is a psychologist and neuroscientist interested in visual perception, mammalian brain and behavior, and computational models of human vision.

She joined SCIoI as a doctoral researcher in September 2019 under the supervision of Prof. Marianne Maertens.

Lynn obtained her B.Sc. in Psychology and her M.Sc. in Neurosciences at Bremen University, with a main focus on the mammal brain and mammal behavior and a particular interest in the human brain. She received insights into the complexity and functionality of the central nervous system through her specialization in visual perception, which she researched using methods such as electrophysiology, psychophysics, and computational modeling.

As a doctoral researcher at SCIoI, Lynn studied visual processing in humans. Her interests lay in how humans synthesize the three-dimensional nature of their surroundings and how this information could be used to improve computer vision models. Her doctoral thesis explored how tiny involuntary eye movements affect what we see, especially when looking at edges, patterns, and spatial details.

 


Projects

Lynn Schmittwilken is member of:



6984777 Schmittwilken 1 apa 50 date desc year 20011 https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
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Schmittwilken, L. (2026). Seeing by moving: revisiting pattern vision through fixational eye movements [Technische Universität Berlin]. https://doi.org/10.14279/DEPOSITONCE-25108
Schmittwilken, L., Wichmann, F. A., & Maertens, M. (2024). Standard models of spatial vision mispredict edge sensitivity at low spatial frequencies. Vision Research, 222, 108450. https://doi.org/10.1016/j.visres.2024.108450
Schmittwilken, L., & Maertens, M. (2022). Fixational eye movements enable robust edge detection. Journal of Vision, 22(8), 5. https://doi.org/10.1167/jov.22.8.5
Schmittwilken, L., & Maertens, M. (2022, May). Medium spatial frequencies mask edges most effectively. Vision Sciences Society Annual Meeting (VSS). https://doi.org/10.1167/jov.22.14.4041
Schmittwilken, L., Matic, M., Maertens, M., & Vincent, J. (2022). Contributed Session III: BRENCH: An open-source framework for b(r)enchmarking brightness models. Journal of Vision, 22(3), 36. https://doi.org/10.1167/jov.22.3.36

Glushko Dissertation Prize, Lynn Schmittwilken (2026) More information

Best Paper Award (ECVP 2021), Lynn Schmittwilken, Marianne Maertens (2021) More information

FoVea Travel and Networking Award, Lynn Schmittwilken (2021) More information

 

 

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