Follow
James J DiCarlo
James J DiCarlo
Verified email at mit.edu
Title
Cited by
Cited by
Year
Performance-optimized hierarchical models predict neural responses in higher visual cortex
DLK Yamins, H Hong, CF Cadieu, EA Solomon, D Seibert, JJ DiCarlo
Proceedings of the national academy of sciences 111 (23), 8619-8624, 2014
20172014
How does the brain solve visual object recognition?
JJ DiCarlo, D Zoccolan, NC Rust
Neuron 73 (3), 415-434, 2012
18842012
Using goal-driven deep learning models to understand sensory cortex
DLK Yamins, JJ DiCarlo
Nature neuroscience 19 (3), 356-365, 2016
15692016
Untangling invariant object recognition
JJ DiCarlo, DD Cox
Trends in cognitive sciences 11 (8), 333-341, 2007
10572007
Fast readout of object identity from macaque inferior temporal cortex
CP Hung, G Kreiman, T Poggio, JJ DiCarlo
Science 310 (5749), 863-866, 2005
9942005
Deep neural networks rival the representation of primate IT cortex for core visual object recognition
CF Cadieu, H Hong, DLK Yamins, N Pinto, D Ardila, EA Solomon, ...
PLoS computational biology 10 (12), e1003963, 2014
7912014
Why is real-world visual object recognition hard?
N Pinto, DD Cox, JJ DiCarlo
PLoS computational biology 4 (1), e27, 2008
7502008
Why is real-world visual object recognition hard?
N Pinto, DD Cox, JJ DiCarlo
PLoS computational biology 4 (1), e27, 2008
7462008
Brain-score: Which artificial neural network for object recognition is most brain-like?
M Schrimpf, J Kubilius, H Hong, NJ Majaj, R Rajalingham, EB Issa, K Kar, ...
BioRxiv, 407007, 2018
4552018
Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior
K Kar, J Kubilius, K Schmidt, EB Issa, JJ DiCarlo
Nature neuroscience 22 (6), 974-983, 2019
4212019
Selectivity and tolerance (“invariance”) both increase as visual information propagates from cortical area V4 to IT
NC Rust, JJ DiCarlo
Journal of Neuroscience 30 (39), 12978-12995, 2010
3882010
Neural population control via deep image synthesis
P Bashivan, K Kar, JJ DiCarlo
Science 364 (6439), eaav9436, 2019
3832019
A high-throughput screening approach to discovering good forms of biologically inspired visual representation
N Pinto, D Doukhan, JJ DiCarlo, DD Cox
PLoS computational biology 5 (11), e1000579, 2009
3782009
A high-throughput screening approach to discovering good forms of biologically inspired visual representation
N Pinto, D Doukhan, JJ DiCarlo, DD Cox
PLoS computational biology 5 (11), e1000579, 2009
3782009
Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks
R Rajalingham, EB Issa, P Bashivan, K Kar, K Schmidt, JJ DiCarlo
Journal of Neuroscience 38 (33), 7255-7269, 2018
3702018
Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex
G Kreiman, CP Hung, A Kraskov, RQ Quiroga, T Poggio, JJ DiCarlo
Neuron 49 (3), 433-445, 2006
3612006
Explicit information for category-orthogonal object properties increases along the ventral stream
H Hong, DLK Yamins, NJ Majaj, JJ DiCarlo
Nature neuroscience 19 (4), 613-622, 2016
3452016
Stimulus configuration, classical conditioning, and hippocampal function.
NA Schmajuk, JJ DiCarlo
Psychological review 99 (2), 268, 1992
3281992
Unsupervised natural experience rapidly alters invariant object representation in visual cortex
N Li, JJ DiCarlo
science 321 (5895), 1502-1507, 2008
3072008
Discrimination training alters object representations in human extrastriate cortex
HPO de Beeck, CI Baker, JJ DiCarlo, NG Kanwisher
Journal of Neuroscience 26 (50), 13025-13036, 2006
3062006
The system can't perform the operation now. Try again later.
Articles 1–20