English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Talk

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

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;

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. (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.


Cite as: https://hdl.handle.net/21.11116/0000-000E-762E-B
Abstract
There is no abstract available