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Items: 1 to 20 of 56

1.

Neural population control via deep image synthesis.

Bashivan P, Kar K, DiCarlo JJ.

Science. 2019 May 3;364(6439). pii: eaav9436. doi: 10.1126/science.aav9436.

PMID:
31048462
2.

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior.

Kar K, Kubilius J, Schmidt K, Issa EB, DiCarlo JJ.

Nat Neurosci. 2019 Jun;22(6):974-983. doi: 10.1038/s41593-019-0392-5. Epub 2019 Apr 29.

PMID:
31036945
3.

Reversible Inactivation of Different Millimeter-Scale Regions of Primate IT Results in Different Patterns of Core Object Recognition Deficits.

Rajalingham R, DiCarlo JJ.

Neuron. 2019 Apr 17;102(2):493-505.e5. doi: 10.1016/j.neuron.2019.02.001. Epub 2019 Mar 13.

PMID:
30878289
4.

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

Issa EB, Cadieu CF, DiCarlo JJ.

Elife. 2018 Nov 28;7. pii: e42870. doi: 10.7554/eLife.42870.

5.

Deep learning reaches the motor system.

Batista AP, DiCarlo JJ.

Nat Methods. 2018 Oct;15(10):772-773. doi: 10.1038/s41592-018-0152-6. No abstract available.

PMID:
30275586
6.

Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks.

Rajalingham R, Issa EB, Bashivan P, Kar K, Schmidt K, DiCarlo JJ.

J Neurosci. 2018 Aug 15;38(33):7255-7269. doi: 10.1523/JNEUROSCI.0388-18.2018. Epub 2018 Jul 13.

7.

Minimally invasive multimode optical fiber microendoscope for deep brain fluorescence imaging.

Ohayon S, Caravaca-Aguirre A, Piestun R, DiCarlo JJ.

Biomed Opt Express. 2018 Mar 6;9(4):1492-1509. doi: 10.1364/BOE.9.001492. eCollection 2018 Apr 1.

8.

Neurophysiological Organization of the Middle Face Patch in Macaque Inferior Temporal Cortex.

Aparicio PL, Issa EB, DiCarlo JJ.

J Neurosci. 2016 Dec 14;36(50):12729-12745. Epub 2016 Nov 3.

9.

Eight open questions in the computational modeling of higher sensory cortex.

Yamins DL, DiCarlo JJ.

Curr Opin Neurobiol. 2016 Apr;37:114-120. doi: 10.1016/j.conb.2016.02.001. Epub 2016 Feb 26. Review.

PMID:
26921828
10.

Using goal-driven deep learning models to understand sensory cortex.

Yamins DL, DiCarlo JJ.

Nat Neurosci. 2016 Mar;19(3):356-65. doi: 10.1038/nn.4244. Review.

PMID:
26906502
11.

Explicit information for category-orthogonal object properties increases along the ventral stream.

Hong H, Yamins DL, Majaj NJ, DiCarlo JJ.

Nat Neurosci. 2016 Apr;19(4):613-22. doi: 10.1038/nn.4247. Epub 2016 Feb 22.

PMID:
26900926
12.

Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance.

Majaj NJ, Hong H, Solomon EA, DiCarlo JJ.

J Neurosci. 2015 Sep 30;35(39):13402-18. doi: 10.1523/JNEUROSCI.5181-14.2015.

13.

Comparison of Object Recognition Behavior in Human and Monkey.

Rajalingham R, Schmidt K, DiCarlo JJ.

J Neurosci. 2015 Sep 2;35(35):12127-36. doi: 10.1523/JNEUROSCI.0573-15.2015.

14.

Optogenetic and pharmacological suppression of spatial clusters of face neurons reveal their causal role in face gender discrimination.

Afraz A, Boyden ES, DiCarlo JJ.

Proc Natl Acad Sci U S A. 2015 May 26;112(21):6730-5. doi: 10.1073/pnas.1423328112. Epub 2015 May 7.

15.

Steven Hsiao: in memoriam.

Bensmaia SJ, DiCarlo JJ.

Neuron. 2015 Feb 4;85(3):458-61. No abstract available.

16.

Deep neural networks rival the representation of primate IT cortex for core visual object recognition.

Cadieu CF, Hong H, Yamins DL, Pinto N, Ardila D, Solomon EA, Majaj NJ, DiCarlo JJ.

PLoS Comput Biol. 2014 Dec 18;10(12):e1003963. doi: 10.1371/journal.pcbi.1003963. eCollection 2014 Dec.

17.

Performance-optimized hierarchical models predict neural responses in higher visual cortex.

Yamins DL, Hong H, Cadieu CF, Solomon EA, Seibert D, DiCarlo JJ.

Proc Natl Acad Sci U S A. 2014 Jun 10;111(23):8619-24. doi: 10.1073/pnas.1403112111. Epub 2014 May 8.

18.

Neural Mechanisms Underlying Visual Object Recognition.

Afraz A, Yamins DL, DiCarlo JJ.

Cold Spring Harb Symp Quant Biol. 2014;79:99-107. doi: 10.1101/sqb.2014.79.024729. Review.

PMID:
26092883
19.

Large-scale, high-resolution neurophysiological maps underlying FMRI of macaque temporal lobe.

Issa EB, Papanastassiou AM, DiCarlo JJ.

J Neurosci. 2013 Sep 18;33(38):15207-19. doi: 10.1523/JNEUROSCI.1248-13.2013.

20.

Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons.

Baldassi C, Alemi-Neissi A, Pagan M, Dicarlo JJ, Zecchina R, Zoccolan D.

PLoS Comput Biol. 2013;9(8):e1003167. doi: 10.1371/journal.pcbi.1003167. Epub 2013 Aug 8.

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