Berens Lab
Data Science for Vision Research
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Lisa Schmors
| Surname | Schmors |
| First name | Lisa |
| Present position and title | PhD Student |
Business address
Werner Reichardt Centre for Integrative Neuroscience (CIN)
Institute for Ophthalmic Research
University of Tübingen
Otfried-Müller-Str. 25
D-72076 Tübingen,
Germany
Phone: 07071 29-88910
E-mail: lisa.schmors[at]uni-tuebingen.de
Academic Education
| Year | Degree | University | Field of study |
|---|---|---|---|
| 2016 - 2018 | M.Sc. | University of Oldenburg | Neuroscience |
| 2013 - 2016 | B.Sc. | Free University of Berlin | Biology |
Professional Experience
| Period | Institution | Position | Discipline |
|---|---|---|---|
| Aug. 2018 – Mar. 2019 | University of Oldenburg | Student Research Assistant | Modeling of Auditory Perception |
| Oct. 2017 - Dec. 2017 | University of Waterloo | Internship Student | Theoretical Neuroscience |
| Jul.2017 - Sept. 2017 | University of Copenhagen | Internship Student | Machine Learning |
| Mar. 2017 – Jun. 2017 | University of Oldenburg | Student Teaching Assistant | Statistical Learning |
| Oct. 2016 – Sept. 2018 | University of Oldenburg | Student Teaching Assistant | Academic Writing |
| Sept. 2016 - Mar. 2017 | University of Birmingham | Internship Student | Biotechnology |
Research Interests
In my project, I use deep neural networks to model the representation and transformation of visual information in the brain. In collaboration with the lab of Laura Busse at LMU Munich, I use recorded neural activity of the thalamus, involving optogenetic silencing that reversibly manipulates the feedback from the visual cortex. The goal is to understand the functional role of the thalamo-cortical feedback circuit and make contributions to a general computational model of visual processing in the mammalian brain.
In general, I am interested in the fundamental principles of neural coding in larger networks and neural populations.
Lisa Schmors