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Author Information
Fabian H Sinz (Universität Tübingen)
Eero Simoncelli (HHMI / New York University)
Eero P. Simoncelli received the B.S. degree in Physics in 1984 from Harvard University, studied applied mathematics at Cambridge University for a year and a half, and then received the M.S. degree in 1988 and the Ph.D. degree in 1993, both in Electrical Engineering from the Massachusetts Institute of Technology. He was an Assistant Professor in the Computer and Information Science department at the University of Pennsylvania from 1993 until 1996. He moved to New York University in September of 1996, where he is currently a Professor in Neural Science, Mathematics, and Psychology. In August 2000, he became an Associate Investigator of the Howard Hughes Medical Institute, under their new program in Computational Biology. His research interests span a wide range of topics in the representation and analysis of visual images, in both machine and biological systems.
Matthias Bethge (University Tübingen)
More from the Same Authors

2020 Poster: Learning efficient taskdependent representations with synaptic plasticity »
Colin Bredenberg · Eero Simoncelli · Cristina Savin 
2019 Poster: Flexible information routing in neural populations through stochastic comodulation »
Caroline Haimerl · Cristina Savin · Eero Simoncelli 
2017 Poster: EigenDistortions of Hierarchical Representations »
Alexander Berardino · Valero Laparra · Johannes Ballé · Eero Simoncelli 
2017 Oral: EigenDistortions of Hierarchical Representations »
Alexander Berardino · Valero Laparra · Johannes Ballé · Eero Simoncelli 
2017 Poster: Neural system identification for large populations separating “what” and “where” »
David Klindt · Alexander Ecker · Thomas Euler · Matthias Bethge 
2015 Poster: Texture Synthesis Using Convolutional Neural Networks »
Leon A Gatys · Alexander Ecker · Matthias Bethge 
2015 Poster: Generative Image Modeling Using Spatial LSTMs »
Lucas Theis · Matthias Bethge 
2013 Poster: Least Informative Dimensions »
Fabian H Sinz · Anna Stockl · Jan Grewe · Jan Benda 
2012 Poster: Efficient and direct estimation of a neural subunit model for sensory coding »
Brett Vintch · Andrew Zaharia · J Movshon · Eero Simoncelli 
2012 Poster: Hierarchical spike coding of sound »
yan karklin · Chaitanya Ekanadham · Eero Simoncelli 
2012 Spotlight: Hierarchical spike coding of sound »
yan karklin · Chaitanya Ekanadham · Eero Simoncelli 
2012 Poster: Training sparse natural image models with a fast Gibbs sampler of an extended state space »
Lucas Theis · Jascha SohlDickstein · Matthias Bethge 
2011 Poster: Efficient coding with a population of LinearNonlinear neurons »
yan karklin · Eero Simoncelli 
2011 Poster: A blind sparse deconvolution method for neural spike identification »
Chaitanya Ekanadham · Daniel Tranchina · Eero Simoncelli 
2011 Spotlight: A blind sparse deconvolution method for neural spike identification »
Chaitanya Ekanadham · Daniel Tranchina · Eero Simoncelli 
2010 Poster: Implicit encoding of prior probabilities in optimal neural populations »
Deep Ganguli · Eero Simoncelli 
2010 Poster: Evaluating neuronal codes for inference using Fisher information »
Ralf Haefner · Matthias Bethge 
2009 Poster: Neurometric function analysis of population codes »
Philipp Berens · Sebastian Gerwinn · Alexander S Ecker · Matthias Bethge 
2009 Poster: A joint maximumentropy model for binary neural population patterns and continuous signals »
Sebastian Gerwinn · Philipp Berens · Matthias Bethge 
2009 Spotlight: A joint maximumentropy model for binary neural population patterns and continuous signals »
Sebastian Gerwinn · Philipp Berens · Matthias Bethge 
2009 Poster: Bayesian estimation of orientation preference maps »
Jakob H Macke · Sebastian Gerwinn · Leonard White · Matthias Kaschube · Matthias Bethge 
2008 Oral: Reducing statistical dependencies in natural signals using radial Gaussianization »
Siwei Lyu · Eero Simoncelli 
2008 Poster: The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction »
Fabian H Sinz · Matthias Bethge 
2008 Poster: Reducing statistical dependencies in natural signals using radial Gaussianization »
Siwei Lyu · Eero Simoncelli 
2008 Spotlight: The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction »
Fabian H Sinz · Matthias Bethge 
2008 Tutorial: Statistical Models of Visual Images »
Eero Simoncelli 
2007 Oral: Bayesian Inference for Spiking Neuron Models with a Sparsity Prior »
Sebastian Gerwinn · Jakob H Macke · Matthias Seeger · Matthias Bethge 
2007 Spotlight: NearMaximum Entropy Models for Binary Neural Representations of Natural Images »
Matthias Bethge · Philipp Berens 
2007 Poster: An Analysis of Inference with the Universum »
Fabian H Sinz · Olivier Chapelle · Alekh Agarwal · Bernhard Schölkopf 
2007 Poster: NearMaximum Entropy Models for Binary Neural Representations of Natural Images »
Matthias Bethge · Philipp Berens 
2007 Poster: Bayesian Inference for Spiking Neuron Models with a Sparsity Prior »
Sebastian Gerwinn · Jakob H Macke · Matthias Seeger · Matthias Bethge 
2007 Poster: Receptive Fields without SpikeTriggering »
Jakob H Macke · Günther Zeck · Matthias Bethge 
2007 Poster: A Bayesian Model of Conditioned Perception »
Alan A Stocker · Eero Simoncelli 
2007 Spotlight: An Analysis of Inference with the Universum »
Fabian H Sinz · Olivier Chapelle · Alekh Agarwal · Bernhard Schölkopf 
2006 Poster: Statistical Modeling of Images with Fields of Gaussian Scale Mixtures »
Siwei Lyu · Eero Simoncelli 
2006 Poster: Learning to be Bayesian without Supervision »
Martin Raphan · Eero Simoncelli