Lorenz Gönner
© Lorenz_Gönner
Postdoctoral Researcher
NamePh.D. Lorenz Gönner
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Research Interests
My main research focus is on the computational neuroscience of learning and decision-making. To help bridge the gap between physiology and behavior, I use computational modeling at multiple levels, including neural network models of learning and decision-making as well as multivariate methods for analysing fMRI data. As a long-term goal, I seek to advance computational models of neural-level mechanisms supporting cognitive functions, constrained by data at the participant level. A special focus is on clinical populations as well as normal aging.
Main Projects
SFB940 "Volition and Cognitive Control"
Project B3: Aging and neuromodulation of forward planning under uncertainty
Collaborative Research Center TRR 265: Losing and Regaining Control over Drug Intake
Computational modelling of impaired control in addiction
(TRR 265, Project B09)
Employment and Functions
|
2020 – today |
Postdoctoral researcher, Section of Systems Neuroscience, TU Dresden |
|
2018 – today |
Postdoctoral researcher, Lifespan Developmental Neuroscience, |
|
2018 – 2020 2011 – 2018 |
Postdoctoral researcher, TU Chemnitz, Chair of Artificial Intelligence Doctoral researcher, TU Chemnitz, Chair of Artificial Intelligence |
|
2008 – 2011 |
R&D engineer, ciAD competence in AudioDesign, Dresden |
Education and Qualifications
|
2019 |
PhD degree (Dr.rer.nat.), TU Chemnitz, Dept. of Computer Science |
|
2008 |
Certificate in Latin American Regional Sciences, TU Dresden |
|
2007 |
Dipl.-Math. (Technomathematik), TU Dresden |
Funding and Honors
|
2001-2005 |
Scholarship by the German national academic foundation (Studienstiftung des deutschen Volkes) |
Larisch R, Gönner L, Teichmann M, Hamker FH (2021). Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity. PLoS Comput Biol 17(11):e1009566.
https://doi.org/10.1371/journal.pcbi.1009566
Gönner L, Vitay J and Hamker FH (2017). Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model. Front. Comput. Neurosci. 11:84. doi: 10.3389/fncom.2017.00084
Goenner L*, Maith O*, Koulouri I, Baladron J, Hamker FH (2020). A spiking model of basal ganglia dynamics in stopping behavior supported by arkypallidal neurons. Eur J Neurosci. doi: 10.1111/ejn.15082
(* equal contribution)
Links