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.
Lab members are shown in this color.
2024
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
PLoS Computational Biology
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2021
Max F. Burg, 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
PLoS Computational Biology
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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)
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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
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