Normative Models

Normative Models

We are developing trainable models of normative theories for computations in the visual cortex that can be fitted to real neuronal responses. Our goal is to provide strong quantitative tests for normative theories about the principles of computation in vision.


Publications

Lab members are shown in this color. Preprints are shown in this color.

2022

Santiago A. Cadena, Konstantin F. Willeke, Kelli Restivo, George Denfield, Fabian H. Sinz, Matthias Bethge, Andreas S. Tolias, Alexander S. Ecker Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks bioRxiv

2019

Edgar Y. Walker, R. James Cotton, Wei Ji Ma, Andreas S. Tolias A neural basis of probabilistic computation in visual cortex Nature Neuroscience (accepted)
Max F. G√ľnthner, Santiago A. Cadena, George H. Denfield, Edgar Y. Walker, Leon A. Gatys, Andreas S. Tolias, Matthias Bethge, Alexander S. Ecker Learning Divisive Normalization in Primary Visual Cortex Cognitive Computational Neuroscience
Christoph Blessing, Edgar Y. Walker, Katrina R. Quinn, R. James Cotton, Wei Ji Ma, Andreas S. Tolias, Hendrikje Nienborg, Fabian H. Sinz Neural Likelihood Cognitive Computational Neuroscience