Brian J Fischer, José Luis Peña. Nat Neurosci 2011
Times Cited: 71
Times Cited: 71
Times Cited
Times Co-cited
Similarity
Cardinal rules: visual orientation perception reflects knowledge of environmental statistics.
Ahna R Girshick, Michael S Landy, Eero P Simoncelli. Nat Neurosci 2011
Ahna R Girshick, Michael S Landy, Eero P Simoncelli. Nat Neurosci 2011
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Bayesian inference with probabilistic population codes.
Wei Ji Ma, Jeffrey M Beck, Peter E Latham, Alexandre Pouget. Nat Neurosci 2006
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A circuit for detection of interaural time differences in the brain stem of the barn owl.
C E Carr, M Konishi. J Neurosci 1990
C E Carr, M Konishi. J Neurosci 1990
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Improvements of sound localization abilities by the facial ruff of the barn owl (Tyto alba) as demonstrated by virtual ruff removal.
Laura Hausmann, Mark von Campenhausen, Frank Endler, Martin Singheiser, Hermann Wagner. PLoS One 2009
Laura Hausmann, Mark von Campenhausen, Frank Endler, Martin Singheiser, Hermann Wagner. PLoS One 2009
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Effects of interaural decorrelation on neural and behavioral detection of spatial cues.
K Saberi, Y Takahashi, M Konishi, Y Albeck, B J Arthur, H Farahbod. Neuron 1998
K Saberi, Y Takahashi, M Konishi, Y Albeck, B J Arthur, H Farahbod. Neuron 1998
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Humans integrate visual and haptic information in a statistically optimal fashion.
Marc O Ernst, Martin S Banks. Nature 2002
Marc O Ernst, Martin S Banks. Nature 2002
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Motion illusions as optimal percepts.
Yair Weiss, Eero P Simoncelli, Edward H Adelson. Nat Neurosci 2002
Yair Weiss, Eero P Simoncelli, Edward H Adelson. Nat Neurosci 2002
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Mechanisms of sound localization in mammals.
Benedikt Grothe, Michael Pecka, David McAlpine. Physiol Rev 2010
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Statistically optimal perception and learning: from behavior to neural representations.
József Fiser, Pietro Berkes, Gergo Orbán, Máté Lengyel. Trends Cogn Sci 2010
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Neural correlates of reliability-based cue weighting during multisensory integration.
Christopher R Fetsch, Alexandre Pouget, Gregory C DeAngelis, Dora E Angelaki. Nat Neurosci 2011
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Noise characteristics and prior expectations in human visual speed perception.
Alan A Stocker, Eero P Simoncelli. Nat Neurosci 2006
Alan A Stocker, Eero P Simoncelli. Nat Neurosci 2006
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Efficient sensory encoding and Bayesian inference with heterogeneous neural populations.
Deep Ganguli, Eero P Simoncelli. Neural Comput 2014
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16
Spatial cue reliability drives frequency tuning in the barn Owl's midbrain.
Fanny Cazettes, Brian J Fischer, Jose L Pena. Elife 2014
Fanny Cazettes, Brian J Fischer, Jose L Pena. Elife 2014
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Cue Reliability Represented in the Shape of Tuning Curves in the Owl's Sound Localization System.
Fanny Cazettes, Brian J Fischer, Jose L Peña. J Neurosci 2016
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Head-related transfer functions of the barn owl: measurement and neural responses.
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A neural code for low-frequency sound localization in mammals.
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Prediction of auditory spatial acuity from neural images on the owl's auditory space map.
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Probabilistic brains: knowns and unknowns.
Alexandre Pouget, Jeffrey M Beck, Wei Ji Ma, Peter E Latham. Nat Neurosci 2013
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Selectivity for interaural time difference in the owl's midbrain.
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The Bayesian brain: the role of uncertainty in neural coding and computation.
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Probabilistic population codes for Bayesian decision making.
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A physiologically based model of interaural time difference discrimination.
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Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment.
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Population-wide bias of surround suppression in auditory spatial receptive fields of the owl's midbrain.
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Hierarchical Bayesian inference in the visual cortex.
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Distribution of interaural time difference in the barn owl's inferior colliculus in the low- and high-frequency ranges.
Hermann Wagner, Ali Asadollahi, Peter Bremen, Frank Endler, Katrin Vonderschen, Mark von Campenhausen. J Neurosci 2007
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Object perception as Bayesian inference.
Daniel Kersten, Pascal Mamassian, Alan Yuille. Annu Rev Psychol 2004
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Marginalization in neural circuits with divisive normalization.
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On hearing with more than one ear: lessons from evolution.
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10
Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.