Reaction Time for Object Categorization Is Predicted by Representational Distance. - Thomas A. Carlson; J. Brendan Ritchie; Nikolaus Kriegeskorte; Samir Durvasula; Junsheng Ma (J. Cogn. Neurosci., 2014)

Emerging Object Representations in the Visual System Predict Reaction Times for Categorization. - J. Brendan Ritchie; David A. Tovar; Thomas A. Carlson (PLoS Comput. Biol., 2015)

Asymmetric Compression of Representational Space for Object Animacy Categorization under Degraded Viewing Conditions. - Tijl Grootswagers; J. Brendan Ritchie; Susan G. Wardle; Andrew Heathcote; Thomas A. Carlson (J. Cogn. Neurosci., 2017)

Avoiding illusory effects in representational similarity analysis: What (not) to do with the diagonal. - J. Brendan Ritchie; Stefania Bracci; Hans P. Op de Beeck (NeuroImage, 2017)

Ghosts in machine learning for cognitive neuroscience: Moving from data to theory. - Thomas A. Carlson; Erin Goddard; David M. Kaplan 001; Colin Klein; J. Brendan Ritchie (NeuroImage, 2018)

A Varying Role for Abstraction in Models of Category Learning Constructed from Neural Representations in Early Visual Cortex. - J. Brendan Ritchie; Hans P. Op de Beeck (J. Cogn. Neurosci., 2019)

The unreliable influence of multivariate noise normalization on the reliability of neural dissimilarity. - J. Brendan Ritchie; Haemy Lee Masson; Stefania Bracci; Hans P. Op de Beeck (NeuroImage, 2021)

Foundations of Deep Learning. An introduction to the Special Issue. - Matteo Colombo; J. Brendan Ritchie (Cogn. Syst. Res., 2024)

What Is a Visual Stream? - J. Brendan Ritchie; Sebastian Montesinos; Maleah J. Carter (J. Cogn. Neurosci., 2024)