Kamila M. Jozwik

To find better neural network models of human vision, find better neural network models of primate vision

Nancy Kanwisher, Martin Schrimpf, James J. DiCarlo, 2019, bioRxiv.

Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network

Nancy Kanwisher, Kamila M. Jozwik, Michael A. Cohen, 2020, bioRxiv.

Neural dynamics of real-world object vision that guide behaviour

Nikolaus Kriegeskorte, Radoslaw Martin Cichy, Kamila M. Jozwik, 2017, bioRxiv.

The spatiotemporal neural dynamics underlying perceived similarity for real-world objects

Nikolaus Kriegeskorte, Radoslaw Martin Cichy, Kamila M. Jozwik, 2019, NeuroImage.

Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations

Nikolaus Kriegeskorte, Radoslaw Martin Cichy, Marieke Mur, 2018 .

Characterizing the spatio-temporal dynamics of behavior-related neural activity during human visual object perception

Radoslaw Martin Cichy, Kamila M. Jozwik, Jasper J. F. van den Bosch, 2017 .

Large-scale hyperparameter search for predicting human brain responses in the Algonauts challenge

Martin Schrimpf, Pouya Bashivan, Kamila M. Jozwik, 2019, bioRxiv.

Are Topographic Deep Convolutional Neural Networks Better Models of the Ventral Visual Stream?

Nancy Kanwisher, Kamila M. Jozwik, Hyodong Lee, 2019, 2019 Conference on Cognitive Computational Neuroscience.