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CNN-based Encoding and Decoding of Visual Object Recognition in Space and Time
K. Seeliger, M. Fritsche, U. Güçlü, S. Schoenmakers, J.-M. Schoffelen, S. E. Bosch, M. A. J. van Gerven
doi: https://doi.org/10.1101/118091
K. Seeliger
Radboud University, Bonders Institute for Brain, Cognition and Behaviour Montessorilaan 3, 6525 HR Nijmegen, The Netherlands
M. Fritsche
Radboud University, Bonders Institute for Brain, Cognition and Behaviour Montessorilaan 3, 6525 HR Nijmegen, The Netherlands
U. Güçlü
Radboud University, Bonders Institute for Brain, Cognition and Behaviour Montessorilaan 3, 6525 HR Nijmegen, The Netherlands
S. Schoenmakers
Radboud University, Bonders Institute for Brain, Cognition and Behaviour Montessorilaan 3, 6525 HR Nijmegen, The Netherlands
J.-M. Schoffelen
Radboud University, Bonders Institute for Brain, Cognition and Behaviour Montessorilaan 3, 6525 HR Nijmegen, The Netherlands
S. E. Bosch
Radboud University, Bonders Institute for Brain, Cognition and Behaviour Montessorilaan 3, 6525 HR Nijmegen, The Netherlands
M. A. J. van Gerven
Radboud University, Bonders Institute for Brain, Cognition and Behaviour Montessorilaan 3, 6525 HR Nijmegen, The Netherlands
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Posted March 18, 2017.
CNN-based Encoding and Decoding of Visual Object Recognition in Space and Time
K. Seeliger, M. Fritsche, U. Güçlü, S. Schoenmakers, J.-M. Schoffelen, S. E. Bosch, M. A. J. van Gerven
bioRxiv 118091; doi: https://doi.org/10.1101/118091
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