DiCarlo, James J.
11 papers on CoChatORCID 0000-0002-1592-5896
Most cited papers
- Verified
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Yamins, D. L. K., Hong, H., Cadieu, C. F., Solomon, E. A., Seibert, D., & DiCarlo, J. J. (2014) · Proceedings of the National Academy of Sciences
Visual perception and processing mechanismsAdvanced Neural Network Applications
Cited by 1,924
- Verified
How does the brain solve visual object recognition?
DiCarlo, J. J., Zoccolan, D., & Rust, N. C. (2012) · Neuron
Visual perception and processing mechanismsFace Recognition and Perception
Cited by 1,790
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Using goal-driven deep learning models to understand sensory cortex
Yamins, D. L. K., & DiCarlo, J. J. (2016) · Nature Neuroscience
Visual perception and processing mechanismsAdvanced Neural Network Applications
Cited by 1,621
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Fast Readout of Object Identity from Macaque Inferior Temporal Cortex
Hung, C. P., Kreiman, G., Poggio, T., & DiCarlo, J. J. (2005) · Science
Visual perception and processing mechanismsFace Recognition and Perception
Cited by 854
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Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
Cadieu, C. F., Hong, H., Yamins, D. L. K., Pinto, N., Ardila, D., Solomon, E. A., Majaj, N. J., & DiCarlo, J. J. (2014) · PLoS Computational Biology
Visual perception and processing mechanismsAdvanced Neural Network Applications
Cited by 824
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Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior
Kar, K., Kubilius, J., Schmidt, K., Issa, E. B., & DiCarlo, J. J. (2019) · Nature Neuroscience
Visual perception and processing mechanismsFace Recognition and Perception
Cited by 496
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A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation
Pinto, N., Doukhan, D., DiCarlo, J. J., & Cox, D. D. (2009) · PLoS Computational Biology
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 248
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Integrative benchmarking to advance neurally mechanistic models of human intelligence
Schrimpf, M., Kubilius, J., Lee, M. J., Ratan Murty, N. A., Ajemian, R., & DiCarlo, J. J. (2020) · Neuron
Visual perception and processing mechanismsNeural dynamics and brain function
Cited by 233
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Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals
Issa, E. B., Cadieu, C. F., & DiCarlo, J. J. (2018) · eLife
Visual perception and processing mechanismsFace Recognition and Perception
Cited by 76
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Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Zador, A., Escola, S., Richards, B., Ölveczky, B., Bengio, Y., Boahen, K., Botvinick, M., Chklovskii, D., Churchland, A., Clopath, C., et al. (2022) · arXiv
Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience
Cited by 34
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The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Gan, C., Zhou, S., Schwartz, J., Alter, S., Bhandwaldar, A., Gutfreund, D., Yamins, D. L. K., DiCarlo, J. J., McDermott, J., Torralba, A., et al. (2021) · arXiv
Robot Manipulation and LearningReinforcement Learning in Robotics
Cited by 13
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