| Year |
Citation |
Score |
| 2024 |
Pan X, Coen-Cagli R, Schwartz O. Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks. Neural Computation. 1-24. PMID 38457752 DOI: 10.1162/neco_a_01652 |
0.709 |
|
| 2023 |
Pan X, DeForge A, Schwartz O. Generalizing biological surround suppression based on center surround similarity via deep neural network models. Plos Computational Biology. 19: e1011486. PMID 37738258 DOI: 10.1371/journal.pcbi.1011486 |
0.437 |
|
| 2020 |
Laskar MNU, Sanchez Giraldo LG, Schwartz O. Deep neural networks capture texture sensitivity in V2. Journal of Vision. 20: 21-1. PMID 32692830 DOI: 10.1167/Jov.20.7.21 |
0.775 |
|
| 2019 |
Giraldo LGS, Schwartz O. Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks. Neural Computation. 1-39. PMID 31525314 DOI: 10.1162/Neco_A_01226 |
0.501 |
|
| 2019 |
Sanchez-Giraldo LG, Laskar MNU, Schwartz O. Normalization and pooling in hierarchical models of natural images. Current Opinion in Neurobiology. 55: 65-72. PMID 30785005 DOI: 10.1016/J.Conb.2019.01.008 |
0.485 |
|
| 2019 |
Turner MH, Sanchez Giraldo LG, Schwartz O, Rieke F. Stimulus- and goal-oriented frameworks for understanding natural vision. Nature Neuroscience. 22: 15-24. PMID 30531846 DOI: 10.1038/S41593-018-0284-0 |
0.759 |
|
| 2019 |
Bowren J, Giraldo LS, Schwartz O. A Comparison of Receptive Field Structures of Hierarchical Models of V2 Journal of Vision. 19: 122c. DOI: 10.1167/19.10.122C |
0.32 |
|
| 2017 |
Xie Z, Schwartz O, Prasad A. Decoding of finger trajectory from ECoG using Deep Learning. Journal of Neural Engineering. PMID 29182152 DOI: 10.1088/1741-2552/Aa9Dbe |
0.387 |
|
| 2017 |
Snow M, Coen-Cagli R, Schwartz O. Adaptation in the visual cortex: a case for probing neuronal populations with natural stimuli. F1000research. 6: 1246. PMID 29034079 DOI: 10.12688/F1000Research.11154.1 |
0.795 |
|
| 2017 |
Moldwin T, Schwartz O, Sussman ES. Statistical Learning of Melodic Patterns Influences the Brain's Response to Wrong Notes. Journal of Cognitive Neuroscience. 1-9. PMID 28850296 DOI: 10.1162/Jocn_A_01181 |
0.319 |
|
| 2017 |
Schwartz O, Giraldo LG. Behavioral and neural constraints on hierarchical representations. Journal of Vision. 17: 13. PMID 28319238 DOI: 10.1167/17.3.13 |
0.414 |
|
| 2016 |
Symonds RM, Lee WW, Kohn A, Schwartz O, Witkowski S, Sussman ES. Distinguishing Neural Adaptation and Predictive Coding Hypotheses in Auditory Change Detection. Brain Topography. PMID 27752799 DOI: 10.1007/S10548-016-0529-8 |
0.375 |
|
| 2016 |
Snow M, Coen-Cagli R, Schwartz O. Specificity and timescales of cortical adaptation as inferences about natural movie statistics. Journal of Vision. 16. PMID 27699416 DOI: 10.1167/16.13.1 |
0.807 |
|
| 2015 |
Coen-Cagli R, Kohn A, Schwartz O. Flexible gating of contextual influences in natural vision. Nature Neuroscience. 18: 1648-55. PMID 26436902 DOI: 10.1038/Nn.4128 |
0.76 |
|
| 2013 |
Coen-Cagli R, Schwartz O. The impact on midlevel vision of statistically optimal divisive normalization in V1. Journal of Vision. 13. PMID 23857950 DOI: 10.1167/13.8.13 |
0.751 |
|
| 2013 |
Schwartz O, Coen-Cagli R. Visual attention and flexible normalization pools. Journal of Vision. 13. PMID 23345413 DOI: 10.1167/13.1.25 |
0.759 |
|
| 2013 |
Ramirez-Moreno DF, Schwartz O, Ramirez-Villegas JF. A saliency-based bottom-up visual attention model for dynamic scenes analysis. Biological Cybernetics. 107: 141-60. PMID 23314730 DOI: 10.1007/S00422-012-0542-2 |
0.391 |
|
| 2012 |
Coen-Cagli R, Dayan P, Schwartz O. Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics. Plos Computational Biology. 8: e1002405. PMID 22396635 DOI: 10.1371/Journal.Pcbi.1002405 |
0.806 |
|
| 2011 |
Roehrbein F, CoenCagli R, Schwartz O. Dynamic scenes vs. static images: Differences in basic gazing behaviors for natural stimulus sets Journal of Vision. 11: 486-486. DOI: 10.1167/11.11.486 |
0.333 |
|
| 2009 |
Schwartz O, Sejnowski TJ, Dayan P. Perceptual organization in the tilt illusion. Journal of Vision. 9: 19.1-20. PMID 19757928 DOI: 10.1167/9.4.19 |
0.684 |
|
| 2009 |
Coen-Cagli R, Coraggio P, Napoletano P, Schwartz O, Ferraro M, Boccignone G. Visuomotor characterization of eye movements in a drawing task. Vision Research. 49: 810-8. PMID 19268685 DOI: 10.1016/J.Visres.2009.02.016 |
0.748 |
|
| 2009 |
Coen-Cagli R, Dayan P, Schwartz O. Statistical models of linear and non-linear contextual interactions in early visual processing Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 369-377. |
0.738 |
|
| 2007 |
Clifford CW, Webster MA, Stanley GB, Stocker AA, Kohn A, Sharpee TO, Schwartz O. Visual adaptation: neural, psychological and computational aspects. Vision Research. 47: 3125-31. PMID 17936871 DOI: 10.1016/J.Visres.2007.08.023 |
0.664 |
|
| 2007 |
Schwartz O, Hsu A, Dayan P. Space and time in visual context. Nature Reviews. Neuroscience. 8: 522-35. PMID 17585305 DOI: 10.1038/Nrn2155 |
0.55 |
|
| 2007 |
Schwartz O, Hsu A, Dayan P. Erratum: Space and time in visual context (Nature Reviews Neuroscience (2007) 8, (522-535)) Nature Reviews Neuroscience. 8: 904-904. DOI: 10.1038/Nrn2259 |
0.524 |
|
| 2006 |
Schwartz O, Sejnowski TJ, Dayan P. Soft mixer assignment in a hierarchical generative model of natural scene statistics. Neural Computation. 18: 2680-718. PMID 16999575 DOI: 10.1162/Neco.2006.18.11.2680 |
0.655 |
|
| 2006 |
Schwartz O, Pillow JW, Rust NC, Simoncelli EP. Spike-triggered neural characterization. Journal of Vision. 6: 484-507. PMID 16889482 DOI: 10.1167/6.4.13 |
0.771 |
|
| 2005 |
Rust NC, Schwartz O, Movshon JA, Simoncelli EP. Spatiotemporal elements of macaque v1 receptive fields. Neuron. 46: 945-56. PMID 15953422 DOI: 10.1016/J.Neuron.2005.05.021 |
0.781 |
|
| 2005 |
Schwartz O, Sejnowski TJ, Dayan P. A Bayesian framework for tilt perception and confidence Advances in Neural Information Processing Systems. 1201-1208. |
0.536 |
|
| 2005 |
Schwartz O, Sejnowski TJ, Dayan P. Assignment of multiplicative mixtures in natural images Advances in Neural Information Processing Systems. |
0.502 |
|
| 2004 |
Schwartz O, Movellan JR, Wachtler T, Albright TD, Sejnowski TJ. Spike count distributions, factorizability, and contextual effects in area V1. Neurocomputing. 58: 893-900. PMID 21113307 DOI: 10.1016/J.Neucom.2004.01.143 |
0.599 |
|
| 2004 |
Rust NC, Schwartz O, Movshon JA, Simoncelli E. Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1 Neurocomputing. 58: 793-799. DOI: 10.1016/J.Neucom.2004.01.128 |
0.768 |
|
| 2002 |
Schwartz O, Chichilnisky EJ, Simoncelli EP. Characterizing neural gain control using spike-triggered covariance Advances in Neural Information Processing Systems. |
0.524 |
|
| 2001 |
Schwartz O, Simoncelli EP. Natural signal statistics and sensory gain control. Nature Neuroscience. 4: 819-25. PMID 11477428 DOI: 10.1038/90526 |
0.633 |
|
| 2001 |
Schwartz O, Simoncelli EP. A spike-triggered covariance method for characterizing divisive normalization models Journal of Vision. 1: 450a. DOI: 10.1167/1.3.450 |
0.57 |
|
| 2001 |
Schwartz O, Simoncelli EP. Natural sound statistics and divisive normalization in the auditory system Advances in Neural Information Processing Systems. |
0.499 |
|
| 1999 |
Schwartz O, G Harris J, C Principe J. Modeling the precedence effect for speech using the gamma filter. Neural Networks : the Official Journal of the International Neural Network Society. 12: 409-417. PMID 12662684 DOI: 10.1016/S0893-6080(98)00027-6 |
0.337 |
|
| 1999 |
Simoncelli EP, Schwartz O. Modeling surround suppression in V1 neurons with a statistically-derived normalization model Advances in Neural Information Processing Systems. 153-154. |
0.586 |
|
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