The latest news from research conducted at the Institute of Cognitive Science can be found here:
12. April 2019 : New publication on language processing in the brain
Liu M, König P and Mueller JL (2019).
Novel ERP evidence for processing differences between negative and positive polarity items in German.
Front Psychol 10:376, section Language Sciences
10. April 2019 : New publication on how social priming affects our own actions’ feedback processing
Czeszumski A, Ehinger BV, Wahn B and König P (2019).
The social situation affects how we process feedback about our actions.
Front Psychol 10:361, section Cognition
Humans achieve their goals in joint action tasks either by cooperation or competition. In the present study, we investigated the neural processes underpinning error and monetary rewards processing in such cooperative and competitive situations. We used electroencephalography (EEG) and analyzed...
25. February 2019 : New publication on retinitis pigmentosa’s impact on visual processing
Ricardo Ramos Gameiro, Kristin Jünemann, Anne Herbik, Anika Wolff, Peter König, Michael B. Hoffmann
Natural visual behavior in individuals with peripheral visual-field loss.
Journal of Vision 2018;18(12):10 doi:10.1167/18.12.10
20. February 2019 : KI-Campus Osnabrück
Supporting and creating technological change in a humane way
is the self-assigned goal of our university's so-called KI-Campus. And it shall be reached by researching and developing innovative software solutions along the interfaces between AI and human intelligence, while considering and assessing the related impact on our society. For more details, please read the UOS press release:
16. January 2019 : Recent PhD thesis now available at the University library
We congratulate Dr. Benedikt Ehinger!
Last year Benedikt Ehinger successfully defended and published his thesis "Decisions, predictions and learning in the visual sense"; the PDF of his PhD thesis can now be downloaded from the university library here: https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-20181116806
For further details you may also contact Prof. Dr. Peter König (email@example.com).
04. December 2018 : The world as an external memory?
New publication supporting the „the-world-as-an-external-memory“ postulation: memorization in a sensorimotor task seems less efficient than a visual check:
Melnik A, Schüler F, Rothkopf CA and König P (2018).
The world as an external memory: The price of saccades in a sensorimotor task. DOI:10.3389/fnbeh.2018.00253. Front Behav Neurosci 12:253
Theories of embodied cognition postulate that the world can serve as an external memory. This implies that instead of storing visual information in...
26. November 2018 : "Niedersächsischer Wissenschaftspreis" - Osnabrück CogSci among the laureates:
Viviane Kakerbeck, doctorate student of the Neurobiopsychology work group, was one of 4 students to be awarded the prestigious prize (worth € 3.500,--) for outstanding achievements in her studies. Read more:
09. November 2018 : Use your body to measure ergonomics
The Institute of Cognitive Science, as part of a joint research project, will support the designing process of ergonomically optimized workstations by using virtual reality.
Who is involved?
The NBP-lab with Prof. Peter König, @SP.VirtualSpice, and @fraunhoferidmt.
21. September 2018 : General commentary article in „frontiers in Behavioral Neuroscience“:
The discussion has started! Can we infer the right moral behavior from behavioral experiments? Find the commentary and our response here:
Sütfeld LR, Gast R, König P and Pipa G (2018) Response: Commentary: Using Virtual Reality to Assess Ethical Decisions in Road Traffic Scenarios: Applicability of Value-of-Life-Based Models and Influences of Time Pressure. Front. Behav. Neurosci. 12:128. doi: 10.3389/fnbeh.2018.00128
10. September 2018 : To improve generalization, data augmentation outperformes explicit regularization
Hernández-García A and König P (2018).
Data augmentation instead of explicit regularization. arXiv:1806.03852v2 [cs.CV] [preprint posting].
Modern artificial neural networks have achieved impressive results with models of very large capacity. However, in order to improve generalization, explicit regularization techniques such as weight decay and dropout are used, leading to a reduction of the effective capacity.
Here, Hernández-García and König systematically analyze the role of...