Natural Stimulus Statistics 2000 Agenda

The Banbury Center, Cold Spring Harbor Laboratory, 22-25 October 2000

SESSION 1:

Chair: David L. Donoho, Stanford University, California

William Bialek, NEC Research Institute, Inc., Princeton, New Jersey:

Finding relevant features in natural images.

Horace Barlow, University of Cambridge, United Kingdom:

Help and hindrance from redundancy.

David Mumford, Brown University, Providence, Rhode Island:

Searching for an explicit stochastic model for natural scene image patches.

Bruno Olshausen, University of California, Davis:

Sparse coding of natural images: space time and color.

David Tolhurst, University of Cambridge, United Kingdom:

Measuring sparse coding: definitions and confusions.

SESSION 2:

Chair: Simon Laughlin, Cambridge University

Yann Gousseau, CNRS-ENS Cachan, France:

Morphological statistics of natural images.

Eero Simoncelli, New York University, New York:

Image statistics, Gaussian scale mixture models, and divisive normalization.

Dawei W. Dong, Florida Atlantic University, Boca Raton:

Eye movements and spatiotemporal input statistics during free-viewing natural time-varying

images.

Konrad Kording, Institute for Neuroinformatik, Zurich, Switzerland:

What a cat sees and what algorithms can learn from this.

Roland Kern, Universitat Bielefeld, Germany:

Representation of behaviorally generated optic flow in a fly visual interneuron.

Rob de Ruyter, NEC Research Institute, Inc., Princeton, New Jersey:

Motion detection in the wild: Natural stimuli and information transmission in a blowfly motion sensitive neuron.

SESSION 3:

Chair: Markus Meister, Harvard University, Cambridge, Massachusetts

Adrienne Fairhall, NEC Research Institute, Inc., Princeton, New Jersey:

Olfaction from the point of view of physics.

Frank Grasso, Boston University, Woods Hole, Massachusetts:

Olfaction, turbulence and odor plumes: structure from concentration dynamics.

Gilles Laurent, California Institute of Technology, Pasadena:

Re-formatting and optimization of odor representations in the zebrafish olfactory bulb.

Michael S. Lewicki, Carnegie Mellon University, Pittsburgh, Pennsylvania:

Learning efficient codes for natural scenes and sounds: a principle for sensory coding.

Penio Penev, The Rockefeller University, New York, New York:

Factorial transmission of time-varying natural stimuli with sparse, interacting unitary events: Spiking for speech and movies.

SESSION 4:

Chair: David J. Field, Cornell University, Ithaca, New York

Frederic Theunissen, University of California, Berkeley:

Analyzing auditory neurons with natural and synthetic sounds

Kamal Sen, University of California, San Francisco:

Hierarchical processing of natural sounds in the songbird auditory forebrain.

Eli Nelken, Hebrew University - Hadassah Medical School, Jerusalem, Israel:

Coding of foregrounds and backgrounds in auditory scenes.

Pamela Reinagel, Harvard Medical School, Boston, Massachusetts:

Coding of temporal visual information by LGN Neurons.

Yang Dan, University of California, Berkeley:

Analysis of visual coding in the LGN and V1.

Jack L. Gallant, University of California, Berkeley:

Using natural scenes to reveal coding properties in visual cortex.

SESSION 5:

Chair: Dan Osorio, University of Sussex, Brighton, United Kingdom

Markus Meister, Harvard University:

Predicting every spike: A model for the responses of visual neurons.

Wilson S. Geisler, University of Texas at Austin:

Perceptual grouping and the Bayesian co-occurrence statistics of features in natural images.

Jitendra Malik, University of California, Berkeley:

Ecological statistics of Gestalt grouping factors.

Mikhail Vorobyev, University of Maryland, Baltimore:

Color coding of signals and backgrounds.

Edward H. Adelson, Massachusetts Institute of Technology, Cambridge:

Statistical aspects of lightness estimation.

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© Pam Reinagel
preinagel {at} ucsd {dot} edu