Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model. - Eero P. Simoncelli; Odelia Schwartz (NIPS, 1998)

Modeling the precedence effect for speech using the gamma filter. - Odelia Schwartz; John G. Harris; José Carlos Príncipe (Neural Networks, 1999)

Natural Sound Statistics and Divisive Normalization in the Auditory System. - Odelia Schwartz; Eero P. Simoncelli (NIPS, 2000)

Characterizing Neural Gain Control using Spike-triggered Covariance. - Odelia Schwartz; E. J. Chichilnisky; Eero P. Simoncelli (NIPS, 2001)

Assignment of Multiplicative Mixtures in Natural Images. - Odelia Schwartz; Terrence J. Sejnowski; Peter Dayan (NIPS, 2004)

Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1. - Nicole C. Rust; Odelia Schwartz; J. Anthony Movshon; Eero P. Simoncelli (Neurocomputing, 2004)

Spike count distributions, factorizability, and contextual effects in area V1. - Odelia Schwartz; Javier R. Movellan; Thomas Wachtler; Thomas D. Albright; Terrence J. Sejnowski (Neurocomputing, 2004)

A Bayesian Framework for Tilt Perception and Confidence. - Odelia Schwartz; Terrence J. Sejnowski; Peter Dayan (NIPS, 2005)

Soft Mixer Assignment in a Hierarchical Generative Model of Natural Scene Statistics. - Odelia Schwartz; Terrence J. Sejnowski; Peter Dayan (Neural Comput., 2006)

Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing. - Ruben Coen Cagli; Peter Dayan; Odelia Schwartz (NIPS, 2009)

Cortical Surround Interactions and Perceptual Salience via Natural Scene Statistics. - Ruben Coen Cagli; Peter Dayan; Odelia Schwartz (PLoS Comput. Biol., 2012)

A saliency-based bottom-up visual attention model for dynamic scenes analysis. - David F. Ramirez-Moreno; Odelia Schwartz; Juan F. Ramirez-Villegas (Biol. Cybern., 2013)

Statistical Learning of Melodic Patterns Influences the Brain's Response to Wrong Notes. - Toviah Moldwin; Odelia Schwartz; Elyse Sussman (J. Cogn. Neurosci., 2017)

Integrating Flexible Normalization into Mid-Level Representations of Deep Convolutional Neural Networks. - Luis Gonzalo Sánchez Giraldo; Odelia Schwartz (CoRR, 2018)

Correspondence of Deep Neural Networks and the Brain for Visual Textures. - Md Nasir Uddin Laskar; Luis G. Sánchez Giraldo; Odelia Schwartz (CoRR, 2018)

Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks. - Luis Gonzalo Sánchez Giraldo; Odelia Schwartz (Neural Comput., 2019)

Development and Evaluation of Machine Learning Models for Recovery Prediction after Treatment for Traumatic Brain Injury. - Hannah L. Radabaugh; Jerry Bonnell; W. Dalton Dietrich; Helen M. Bramlett; Odelia Schwartz; Dilip Sarkar (EMBC, 2020)

Inference via Sparse Coding in a Hierarchical Vision Model. - Joshua Bowren; Luis G. Sánchez Giraldo; Odelia Schwartz (CoRR, 2021)

Generalizing biological surround suppression based on center surround similarity via deep neural network models. - Xu Pan; Annie DeForge; Odelia Schwartz (PLoS Comput. Biol., 2023)

Dissecting Query-Key Interaction in Vision Transformers. - Xu Pan; Aaron Philip; Ziqian Xie; Odelia Schwartz (NeurIPS, 2024)

Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks. - Xu Pan; Ruben Coen Cagli; Odelia Schwartz (Neural Comput., 2024)

Enhancing Vision Transformer Explainability Using Artificial Astrocytes. - Nicolas Echevarrieta-Catalan; Ana Ribas-Rodriguez; Francisco Cedron; Odelia Schwartz; Vanessa Aguiar-Pulido (CVPR Workshops, 2025)