James J. DiCarlo

McGovern Institute for Brain Research — United States

Neuroscience · Life Sciences

67h-index32.2kcitations205works6.52yr avg
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Research Topics

Neural dynamics and brain function(106), Face Recognition and Perception(87), Visual perception and processing mechanisms(75), Visual Attention and Saliency Detection(26), Neural Networks and Applications(17)

Publications205 total

Assaying the effect of recent sensory history on object categorization via human psychophysics and computational modeling
Journal of Vision·2025Open Access
Feature-based encoding of face identity by single neurons in the human amygdala and hippocampus
Nature Human Behaviour·2025· 5 citedOpen Access
Noninvasive precision modulation of high-level neural population activity via natural vision perturbations
arXiv (Cornell University)·2025Open Access
Hierarchical Optimization predicts Plasticity in the Macaque Inferior Temporal Cortex following Object Training
2024· 2 citedOpen Access
L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement
arXiv (Cornell University)·2024Open Access
Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations
arXiv (Cornell University)·2024· 1 citedOpen Access
Visual Learning: An Interview with James DiCarlo
AI in neuroscience.·2024
The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates
Annual Review of Vision Science·2024· 16 citedOpen Access
A unifying framework for functional organization in early and higher ventral visual cortex
Neuron·2024· 48 citedOpen Access
How does the primate brain combine generative and discriminative computations in vision?
PubMed·2024· 1 citedOpen Access
Do Topographic Deep ANN Models of the Primate Ventral Stream Predict the Perceptual Effects of Direct IT Cortical Interventions?
2024· 5 citedOpen Access
Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision – CORRIGENDUM
Behavioral and Brain Sciences·2024Open Access
Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds
arXiv (Cornell University)·2023· 2 citedOpen Access
How well do rudimentary plasticity rules predict adult visual object learning?
PLoS Computational Biology·2023· 3 citedOpen Access
The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates
arXiv (Cornell University)·2023· 3 citedOpen Access
Robustified ANNs Reveal Wormholes Between Human Category Percepts
arXiv (Cornell University)·2023· 3 citedOpen Access
fROI-level computational models enable broad-scale experimental testing and expose key divergences between models and brains
Journal of Vision·2023Open Access
A Unifying Principle for the Functional Organization of Visual Cortex
2023· 12 citedOpen Access
Catalyzing next-generation Artificial Intelligence through NeuroAI
Nature Communications·2023· 261 citedOpen Access
How well do rudimentary plasticity rules predict adult visual object learning?
2023· 1 citedOpen Access
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Frequent Co-authors

Daniel Yamins(10), David Cox(9), Kohitij Kar(7), Ha Hong(6), Jonas Kubilius(6), Martin Schrimpf(6), George M. Church(5), Davide Zoccolan(5), Nicolas Pinto(4), Najib J. Majaj(4), Elias B. Issa(4), Charles F. Cadieu(3), Ethan A. Solomon(3), Tomaso Poggio(3), Kailyn Schmidt(3), Rishi Rajalingham(3), Pouya Bashivan(3), Aran Nayebi(3), Daniel M. Bear(3), Prashant Mali(2)