Investigating high-level visual cortex preferences through neural network 
training on large neuroimaging data

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

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Poster

Investigating high-level visual cortex preferences through neural network training on large neuroimaging data

MPS-Authors

/persons/resource/persons281113

Seeliger, Katja
Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Roth, Johannes
Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons242545

Hebart, Martin N.
Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Seeliger, K., Leipe, R., Roth, J., & Hebart, M. N. (2023). Investigating high-level visual cortex preferences through neural network training on large neuroimaging data. Poster presented at Salzburg Mind Brain Meeting (SAMBA), Salzburg, Austria.

Cite as: https://hdl.handle.net/21.11116/0000-000E-7617-4

Abstract

There is no abstract available