James J. DiCarlo

发表

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.

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Daniel L. K. Yamins, Ha Hong, Charles F. Cadieu, 2014, PLoS Comput. Biol..

Unsupervised neural network models of the ventral visual stream

Michael C. Frank, Martin Schrimpf, Chengxu Zhuang, 2020, Proceedings of the National Academy of Sciences.

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations

Martin Schrimpf, David D. Cox, James J. DiCarlo, 2020, bioRxiv.

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation pdf

Chuang Gan, Joshua B. Tenenbaum, David Cox, 2020, ArXiv.

A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation

David D. Cox, James J. DiCarlo, David Doukhan, 2009, PLoS Comput. Biol..

Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream

Martin Schrimpf, James J. DiCarlo, Franziska Geiger, 2020, bioRxiv.

Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals

Charles F. Cadieu, Elias B. Issa, James J. DiCarlo, 2018 .

Comparing novel object learning in humans, models, and monkeys

James J. DiCarlo, Michael J. Lee, 2019 .

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.