Odelia Schwartz, Master's
Affiliations: | 1996- | ECE | University of Florida, Gainesville, Gainesville, FL, United States |
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Publications
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| Pan X, Coen-Cagli R, Schwartz O. (2024) Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks. Neural Computation. 1-24 |
| Pan X, DeForge A, Schwartz O. (2023) Generalizing biological surround suppression based on center surround similarity via deep neural network models. Plos Computational Biology. 19: e1011486 |
| Mylavarapu R, Prins NW, Pohlmeyer E, et al. (2021) Chronic recordings from the marmoset motor cortex reveals modulation of neural firing and local field potentials overlap with macaques. Journal of Neural Engineering |
| 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 |