Leveraging massive fMRI data sets and deep learning to synthesize images 
preferred by higher visual system areas

Seeliger, Katja

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Leveraging massive fMRI data sets and deep learning to synthesize images preferred by higher visual system areas

Seeliger, K. (2023). Leveraging massive fMRI data sets and deep learning to synthesize images preferred by higher visual system areas. Talk presented at Neural Coding Lab (Umut Güçlü). Donders Institute, Radboud University, Nijmegen, the Netherlands (virtual). 2023-07-04.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-762E-B Version Permalink: https://hdl.handle.net/21.11116/0000-000E-762F-A

Genre: Talk

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Creators:
Seeliger, Katja¹, Author

Affiliations:
1Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3158378

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Language(s): eng - English

Dates: Created: 2023-07-04

Publication Status: Not specified

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Title: Neural Coding Lab (Umut Güçlü)

Place of Event: Donders Institute, Radboud University, Nijmegen, the Netherlands (virtual)

Start-/End Date: 2023-07-04

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