Gedi Luksys

Lab Members
Thomas Dorfer (MSc Student)


Dr. Gedi Luksys
Edinburgh-Zhejiang Lecturer
Tel: +44(0) 131 651 1881



Lab Webpage


Research Interests
My research explores several directions of computational cognitive neuroscience. I model animal and human behaviour in various learning, memory and decision making setups and use computational model-based analysis to find the most suitable models and investigate their neural correlates.

I'm particularly interested in how episodic memory interacts with reinforcement learning in guiding learning as well as how sensitivity to risk and discounting determine economic choices in realistic tasks and situations.

I also investigate computational roles of stress and other modulators, how they interact with individual traits to control behaviour and cognition, and how they can be used to improve cognitive performance and alleviate adverse effects of mental disorders.

Finally, I work on neuroinformatics of cognitive neuroscience and multi-voxel pattern analyses of neuroimaging data, as they are essential for obtaining a data-driven view of brain systems’ function.

Recent collaborations include Carmen Sandi (Lausanne), Dominique de Quervain (Basel) and Eleni Vasilaki (Sheffield).

Key Publications
Luksys G, Fastenrath M, Coynel D, Freytag V, Gschwind L, Heck A, Jessen F, Maier W, Milnik A, Riedel-Heller SG, Scherer M, Spalek K, Vogler C, Wagner M, Wolfsgruber S, Papassotiropoulos A, de Quervain DJ. (2015) Computational dissection of human episodic memory reveals mental process-specific genetic profiles. Proc Natl Acad Sci U S A. 112(35):E4939-48.
Luksys G, Ackermann S, Coynel D, Fastenrath M, Gschwind L, Heck A, Rasch B, Spalek K, Vogler C, Papassotiropoulos A, de Quervain D. (2014) BAIAP2 is related to emotional modulation of human memory strength. PLoS One. 9(1):e83707.
Luksys G, Sandi C. (2011) Neural mechanisms and computations underlying stress effects on learning and memory. Curr Opin Neurobiol. 21(3):502-8.

Luksys G, Gerstner W, Sandi C. (2009) Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning. Nat Neurosci. 12(9):1180-6 (Noted in Faculty of 1000).
Hermens F, Luksys G, Gerstner W, Herzog MH, Ernst U. (2008) Modeling spatial and temporal aspects of visual backward masking. Psychol Rev. 115(1):83-100.

Funding Sources

You can access a short biography by clicking here.