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Journal Articles
- 2024
[j8]Matteo Colombo, J. Brendan Ritchie:
Foundations of Deep Learning. An introduction to the Special Issue. Cogn. Syst. Res. 87: 101246 (2024)- 2021
- [j7]J. Brendan Ritchie, Haemy Lee Masson, Stefania Bracci, Hans P. Op de Beeck
:
The unreliable influence of multivariate noise normalization on the reliability of neural dissimilarity. NeuroImage 245: 118686 (2021) - 2019
- [j6]J. Brendan Ritchie, Hans P. Op de Beeck:
A Varying Role for Abstraction in Models of Category Learning Constructed from Neural Representations in Early Visual Cortex. J. Cogn. Neurosci. 31(1) (2019) - 2018
- [j5]Thomas A. Carlson, Erin Goddard, David M. Kaplan, Colin Klein, J. Brendan Ritchie:
Ghosts in machine learning for cognitive neuroscience: Moving from data to theory. NeuroImage 180(Part): 88-100 (2018) - 2017
- [j4]Tijl Grootswagers, J. Brendan Ritchie, Susan G. Wardle, Andrew Heathcote, Thomas A. Carlson:
Asymmetric Compression of Representational Space for Object Animacy Categorization under Degraded Viewing Conditions. J. Cogn. Neurosci. 29(12) (2017) - [j3]J. Brendan Ritchie, Stefania Bracci, Hans P. Op de Beeck:
Avoiding illusory effects in representational similarity analysis: What (not) to do with the diagonal. NeuroImage 148: 197-200 (2017) - 2015
- [j2]J. Brendan Ritchie, David A. Tovar, Thomas A. Carlson:
Emerging Object Representations in the Visual System Predict Reaction Times for Categorization. PLoS Comput. Biol. 11(6) (2015) - 2014
- [j1]Thomas A. Carlson, J. Brendan Ritchie, Nikolaus Kriegeskorte, Samir Durvasula, Junsheng Ma:
Reaction Time for Object Categorization Is Predicted by Representational Distance. J. Cogn. Neurosci. 26(1): 132-142 (2014)
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