My interest lies in the topic of system identification, i.e. the finding of a mathematical model that maps the measurements of system inputs (visual stimuli) to system outputs (neuronal activity in the visual cortex of mice). The approach I chose for fitting these models is machine learning, more precisely deep convolutional neural networks (DCNNs). Identifying the underlying computations in a biological neural network using DCNNs can help the field in two ways: It can 1) provide insights about the functioning of biological neural networks for the neuroscience community and 2) it can identify useful inductive biases to be transferred to artificial neural networks for the machine learning community. My current project revolves around fitting such models that generalize between animals of the same species. Only if this condition is met, we can assume that the fitted model is not susceptible to subject-specific features and noise but captures general non-linear features that are characteristic for the visual cortex of mice as a whole.
Publications
Lab members are shown in this color.
2023
|
Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker, Fabian H. Sinz
Bayesian Oracle for bounding information gain in neural encoding models
ICLR 2023 (accepted)
|
2022
|
Konstantin Lurz, Mohammad Bashiri, Fabian Sinz
Bayesian Oracle for bounding information gain in neural encoding models
Neurips 2022 Workshop InfoCog
|
|
Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
arXiv
|
2021
|
Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Kumar Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas S. Tolias, Fabian H. Sinz
A flow-based latent state generative model of neural population responses to natural images
NeurIPS (spotlight)
conference paper
·
system identification
·
openreview
twitter
teaser-youtube
talk-youtube
github
simulation demo
biorXiv
|
|
Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Friedrich Willeke, Akshay Kumar Jagadish, Eric Wang, Edgar Y Walker, Santiago Cadena, Taliah Muhammad, Eric Cobos, Andreas Tolias, Alexander Ecker, Fabian Sinz
Generalization in data-driven models of primary visual cortex
ICLR (spotlight)
|
2018
|
Konstantin-Klemens Lurz
Natural Language Processing in Artificial Neuronal Networks: Sentence analysis in medical papers
Lund University Library
|