Odelia Schwartz

Albert Einstein College of Medicine, New York, New York, United States 
 University of Miami, Coral Gables, FL 
Computation & Theory, visual system
"Odelia Schwartz"
Cross-listing: Neurotree


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Eero P. Simoncelli grad student 1997-2002 NYU (Neurotree)
 (Modeling and characterization of neural gain control.)
Terrence J. Sejnowski post-doc Salk Institute (Neurotree)


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Michoel Snow grad student Albert Einstein (Neurotree)
Luis Gonzalo Sanchez Giraldo post-doc (Neurotree)
Ruben Coen-Cagli post-doc 2008-2012 Albert Einstein (Neurotree)


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Leanne Chukoskie collaborator 2005-2008 Salk Institute (Neurotree)
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Laskar MNU, Sanchez Giraldo LG, Schwartz O. (2020) Deep neural networks capture texture sensitivity in V2. Journal of Vision. 20: 21-1
Giraldo LGS, Schwartz O. (2019) Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks. Neural Computation. 1-39
Sanchez-Giraldo LG, Laskar MNU, Schwartz O. (2019) Normalization and pooling in hierarchical models of natural images. Current Opinion in Neurobiology. 55: 65-72
Turner MH, Sanchez Giraldo LG, Schwartz O, et al. (2019) Stimulus- and goal-oriented frameworks for understanding natural vision. Nature Neuroscience. 22: 15-24
Bowren J, Giraldo LS, Schwartz O. (2019) A Comparison of Receptive Field Structures of Hierarchical Models of V2 Journal of Vision. 19: 122c
Xie Z, Schwartz O, Prasad A. (2017) Decoding of finger trajectory from ECoG using Deep Learning. Journal of Neural Engineering
Snow M, Coen-Cagli R, Schwartz O. (2017) Adaptation in the visual cortex: a case for probing neuronal populations with natural stimuli. F1000research. 6: 1246
Moldwin T, Schwartz O, Sussman ES. (2017) Statistical Learning of Melodic Patterns Influences the Brain's Response to Wrong Notes. Journal of Cognitive Neuroscience. 1-9
Schwartz O, Giraldo LG. (2017) Behavioral and neural constraints on hierarchical representations. Journal of Vision. 17: 13
Symonds RM, Lee WW, Kohn A, et al. (2016) Distinguishing Neural Adaptation and Predictive Coding Hypotheses in Auditory Change Detection. Brain Topography
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