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Research Group Vision and Computational Cognition

In our research group, we aim to unravel basic mechanisms of visual perception and understand the cascade from early processing in visual brain regions to decision-making processes about our environment. To achieve this goal, we acquire large amounts of data both in behavior and with human brain imaging. With these large datasets we can identify reproducible patterns which we can later target with classical laboratory experiments. We complement this approach with computational models such as deep neural networks that offer a versatile tool for the discovery of previously unknown properties of the human brain. In addition to using these models as a tool, we aim at developing them further to make them more similar to human brains.



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Research Group Vision and Computational Cognition

https://www.cbs.mpg.de/independent-research-groups/vision-and-computational-cognition

In our research group, we aim to unravel basic mechanisms of visual perception and understand the cascade from early processing in visual brain regions to decision-making processes about our environment. To achieve this goal, we acquire large amounts of data both in behavior and with human brain imaging. With these large datasets we can identify reproducible patterns which we can later target with classical laboratory experiments. We complement this approach with computational models such as deep neural networks that offer a versatile tool for the discovery of previously unknown properties of the human brain. In addition to using these models as a tool, we aim at developing them further to make them more similar to human brains.



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https://www.cbs.mpg.de/independent-research-groups/vision-and-computational-cognition

Research Group Vision and Computational Cognition

In our research group, we aim to unravel basic mechanisms of visual perception and understand the cascade from early processing in visual brain regions to decision-making processes about our environment. To achieve this goal, we acquire large amounts of data both in behavior and with human brain imaging. With these large datasets we can identify reproducible patterns which we can later target with classical laboratory experiments. We complement this approach with computational models such as deep neural networks that offer a versatile tool for the discovery of previously unknown properties of the human brain. In addition to using these models as a tool, we aim at developing them further to make them more similar to human brains.

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      In our research group, we aim to unravel basic mechanisms of visual perception and understand the cascade from early processing in visual brain regions to decision-making processes about our environment. To achieve this goal, we acquire large amounts of data both in behavior and with human brain imaging. With these large datasets we can identify reproducible patterns which we can later target with classical laboratory experiments. We complement this approach with computational models such as deep neural networks that offer a versatile tool for the discovery of previously unknown properties of the human brain. In addition to using these models as a tool, we aim at developing them further to make them more similar to human brains.
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