James DiCarlo

James Joseph DiCarlo (born 1967) is an American neuroscientist currently serving as the Peter de Florez Professor of Neuroscience at the Massachusetts Institute of Technology. Provided by Wikipedia
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  1. 1
    Engineering yeast genomes and populations
    by DiCarlo, James Edward
    Published 2016
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  2. 2
    Unsupervised Natural Visual Experience Rapidly Reshapes Size-Invariant Object Representation in Inferior Temporal Cortex
    by Li, Nuo, DiCarlo, James
    Published 2015
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  3. 3
    Precedence of the Eye Region in Neural Processing of Faces
    by Issa, Elias, DiCarlo, James
    Published 2014
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  4. 4
    Reversible Inactivation of Different Millimeter-Scale Regions of Primate IT Results in Different Patterns of Core Object Recognition Deficits
    by Rajalingham, Rishi, DiCarlo, James
    Published 2020
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  5. 5
    Minimally invasive multimode optical fiber microendoscope for deep brain fluorescence imaging
    by Ohayon, Shay, DiCarlo, James
    Published 2020
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  6. 6
    Precedence of the Eye Region in Neural Processing of Faces
    by Issa, Elias, DiCarlo, James
    Published 2013
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  7. 7
    Neuronal Learning of Invariant Object Representation in the Ventral Visual Stream Is Not Dependent on Reward
    by Li, Nuo, DiCarlo, James
    Published 2012
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  8. 8
    Balanced Increases in Selectivity and Tolerance Produce Constant Sparseness along the Ventral Visual Stream
    by DiCarlo, James, Rust, Nicole C.
    Published 2013
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  9. 9
    Selectivity and Tolerance ("Invariance") Both Increase as Visual Information Propagates from Cortical Area V4 to IT
    by Rust, Nicole C., DiCarlo, James
    Published 2012
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  10. 10
    Task-driven convolutional recurrent models of the visual system
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  11. 11
    Neural population control via deep image synthesis
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  12. 12
    Optogenetic and pharmacological suppression of spatial clusters of face neurons reveal their causal role in face gender discrimination
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  13. 13
    Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals
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  14. 14
    Comparison of Object Recognition Behavior in Human and Monkey
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  15. 15
    How far can you get with a modern face recognition test set using only simple features?
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  16. 16
    How Does the Brain Solve Visual Object Recognition?
    Other Authors: “...DiCarlo, James...”
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  17. 17
    Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe
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  18. 18
    Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex
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  19. 19
    Large-Scale, High-Resolution Neurophysiological Maps Underlying fMRI of Macaque Temporal Lobe
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  20. 20
    Neurophysiological Organization of the Middle Face Patch in Macaque Inferior Temporal Cortex
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