J. Brendan Ritchie

According to our database, J. Brendan Ritchie authored at least 8 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Foundations of Deep Learning. An introduction to the Special Issue.

Matteo Colombo, J. Brendan Ritchie

Cogn. Syst. Res., 2024

2021

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

2019

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

2018

Ghosts in machine learning for cognitive neuroscience: Moving from data to theory.

Thomas A. Carlson, Erin Goddard, David M. Kaplan, Colin Klein, J. Brendan Ritchie

NeuroImage, 2018

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

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

2015

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

2014

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