Uncovering high-level visual cortex preferences by training convolutional 
neural networks on large neuroimaging data

Seeliger, Katja; Leipe, Roman; Roth, Johannes; Hebart, Martin N.

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Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data

Seeliger, K., Leipe, R., Roth, J., & Hebart, M. N. (2023). Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data. Poster presented at 23rd Annual Meeting of the Vision Science Society (VSS), St. Pete Beach, FL, USA.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-75DC-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-75DD-6

Genre: Poster

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Creators:
Seeliger, Katja¹, Author
Leipe, Roman, Author
Roth, Johannes¹, Author
Hebart, Martin N.¹, 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: 2023-05-22

Publication Status: Not specified

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Title: 23rd Annual Meeting of the Vision Science Society (VSS)

Place of Event: St. Pete Beach, FL, USA

Start-/End Date: 2023-05-19 - 2023-05-24

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