Papers
  • Perceptual Organization in the Tilt Illusion. O Schwartz, T J Sejnowski, and P Dayan. Journal of Vision, 2009.
    Reprint
  • Visuomotor Characterization of Eye Movements in a Drawing Task. R C Cagli , P Coraggio, P Napoletano, O Schwartz, M Ferraro, G Boccignone. Vision Research 2009 (Accepted).
  • Space and time in visual context. O Schwartz, A Hsu, and P Dayan. Nature Reviews Neuroscience, 8, 522-535, 2007.
    Abstract / Reprint (pdf)
  • Spike-triggered Neural Characterization. O Schwartz, J W Pillow, N C Rust, and E P Simoncelli. Journal of Vision, 2006.
    Abstract / Reprint (pdf)
  • Soft Mixer Assignment in a Hierarchical Model of Natural Scene Statistics. O Schwartz, T J Sejnowski, and P Dayan. Neural Computation, 2006.
    Abstract / Reprint (pdf)
  • A Bayesian Framework for Tilt Perception and Confidence. O Schwartz, T J Sejnowski, and P Dayan. Advances in Neural Information Processing Systems 18, 2006.
    Abstract / Reprint (pdf)
  • Assignment of Multiplicative Mixtures in Natural Images. O Schwartz, T J Sejnowski, and P Dayan. Advances in Neural Information Processing Systems 17, 2005.
    Abstract / Preprint (242K, pdf)
  • Spike count distributions, factorizability, and contextual effects in area V1. O Schwartz, J R Movellan, T Wachtler, T D.Albright, and T J Sejnowski. Neurocomputing, Elsevier, 2004.
    Abstract / Preprint (168K, pdf)
  • Spike-triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1. N C Rust, O Schwartz, J A Movshon and E P Simoncelli. Neurocomputing, Elsevier, 2004.
    Abstract / Preprint (750K, pdf)
  • Characterization of neural responses with stochastic stimuli. E P Simoncelli and J Pillow and L Paninski and O Schwartz. In The Cognitive Neurosciences, Ed: M Gazzaniga, 3rd edition. MIT Press, 2004.
    Abstract / Preprint (1.2M, pdf)
  • Characterizing neural gain control using spike triggered covariance. O Schwartz, E J Chichilnisky, and E P Simoncelli. Adv. Neural Information Processing Systems, v14, pp. 269-276, May 2002.
    Abstract / Preprint (544k, pdf

  • Natural image statistics and divisive normalization: Modeling nonlinearity and adaptation in cortical neurons. M J Wainwright, O Schwartz, and E P Simoncelli. In Probabilistic Models of the Brain: Perception and Neural Function. eds. R Rao, B Olshausen, and M Lewicki. MIT Press. Spring, 2002.
    Abstract / Full Text (498k, ps.gz) / Full Text (138k, pdf)

  • Modeling the Precedence Effect For Speech Using the Gamma Filter. O. Schwartz, J.G. Harris, and J.C. Principe. Neural Networks, 12(3):409-417, 1999
    Abstract

  • O. Schwartz, J G Harris, and J C Principe. Modeling the precedence effect for speech signals. In Computational Neuroscience Trends in Research, Volume 4, Pages 819-826, 1998.
    Abstract / Full Text (133k, ps.gz)


 

Selected Posters
  • Spike count distributions, factorizability, and contextual effects in area V1. Odelia Schwartz, Javier R. Movellan, Thomas Wachtler, Thomas D. Albright, and Terrence J. Sejnowski. Presented at: Annual Meeting, Computational Neuroscience, Alicante Spain, 5-9 July 2003. Neurocomputing, 2004.

    Poster (228K, pdf)
  • Characterizing neural gain control using spike triggered covariance. O Schwartz, E J Chichilnisky, and E P Simoncelli. Adv. Neural Information Processing Systems, v14, pp. 269-276, May 2002.

    Poster (497K, pdf)

 

Selected Abstracts/Presentations
  • R Coen-Cagli, S Wissig, A Kohn, O Schwartz. Probing the early visual system with naturalistic, synthetic images. Cosyne 2009.
  • O Schwartz, T J Sejnowski, and P Dayan. The tilt illusion, population decoding and natural scene statistics. Cosyne, 2007.
    Abstract
  • L Chukoskie, O Schwartz, T J Sejnowski, P Dayan, & R J Krauzlis. Deciding where to look when there's not much to see , SFN abstract, 2005.
    Abstract
  • O Schwartz, T J Sejnowski, and P Dayan. A hierarchical generative model of natural scenes. Gordon Research Conference on Sensory Coding and the Natural Environment. Oxford, UK, 2004.
  • O Schwartz, T J Sejnowski, and P Dayan. Statistical Normalization of Sensory Representations. Cosyne, 2004.
    Abstract (pdf)
  • N.C. Rust and O. Schwartz and E.P. Simoncelli and J.A. Movshon. An analysis of spike-triggered covariance reveals suppressive mechanisms of directional selectivity in macaque V1 neurons, SFN abstract, 2003.
    Abstract
  • O. Schwartz and E.P. Simoncelli, A spike-triggered covariance method for characterizing divisive normalization models, VSS abstract, 2001.
  • O. Schwartz and E.P. Simoncelli, Modeling surround suppression in V1 neurons from the statistics of natural images, ARVO abstract, 1999.
    Abstract
  • E.P. Simoncelli and O. Schwartz. Derivation of a cortical normalization model from the statistics of natural images, ARVO abstract, 1998.
    Abstract
  • O. Schwartz, H.M. Bayer, and D. Pelli. Features, frequencies and facial expressions. ARVO abstract, 1998.
  • H.M. Bayer, O. Schwartz and D. Pelli. Recognizing facial expressions efficiently, ARVO abstract, 1998.

 

 

Selected Invited Talks
  • Gatsby Computational Neuroscience Unit, London, 2006.

  • Redwood Center for Theoretical Neuroscience, Berkeley, 2006.

  • Adaptation: neural, psychological, and computational aspects workshop. Cosyne, The Canyons, Utah (co-organizer with Colin Clifford and Peter Dayan), 2006.

  • Cognitive Science Colloquium, UCSD, 2006.

  • CIAR Neural Computation and Active Perception workshop, Vancouver, BC, 2005.

  • Overcomplete representations workshop. Neural Information Processing Systems, Vancouver, BC, 2004.

  • Interneurons and cortical function: a fair and balanced workshop. Neural Information Processing Systems, Vancouver, BC, 2004.
  • Hebrew University, Computer Science, Israel, 2004.
  • Cortical models and psychophysics workshop. CNS*2003, Alicante, Spain, 2003.
  • Brain and Mind Institute, Lausanne, 2003.
  • Gatsby Computational Neuroscience Unit, London, UK, 2001.
  • Sloan-Swartz meeting, Lake Tahoe, CA, 2001.
  • NEC Research Institute, Princeton, NJ, 2001.
  • Sloan meeting, Salk Institute, La Jolla, CA, 1999.