Research Topics
| Wolfgang EinhäuserSummaryAffiliation: Swiss Federal Institute of Technology Country: Switzerland Publications
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Detail Information
Publications
Learning the invariance properties of complex cells from their responses to natural stimuliWolfgang Einhäuser
Institute of Neuroinformatics, University of Zurich and ETH Zurich, Winterthurerstr 190, 8057 Zurich, Switzerland
Eur J Neurosci 15:475-86. 2002..This model lends a physiologically based explanation of the development of complex cell invariance response properties...- Does luminance-contrast contribute to a saliency map for overt visual attention?Wolfgang Einhäuser
Institute of Neuroinformatics University and ETH Zürich, Winterthurer Str 190, 8057 Zurich, Switzerland
Eur J Neurosci 17:1089-97. 2003.... - Learning distinct and complementary feature selectivities from natural colour videosWolfgang Einhäuser
Institute of Neuroinformatics UNI ETH Zürich, Zurich, Switzerland
Rev Neurosci 14:43-52. 2003..The proposed objective thus successfully leads to the segregation of neurons into complementary populations that are either selective for colour or orientation... - Are switches in perception of the Necker cube related to eye position?Wolfgang Einhäuser
Institute of Neuroinformatics, University and Swiss Federal Institute of Technology ETH, Y55G75, Winterthurer Strasse 190, CH 8057 Zurich, Switzerland
Eur J Neurosci 20:2811-8. 2004..This result suggests that the changed eye position itself might provide a negative feedback signal that suppresses the percept... - Differences of monkey and human overt attention under natural conditionsWolfgang Einhäuser
Institute of Neuroinformatics, University of Zurich and Swiss Federal Institute of Technology, ETH, Zurich, Switzerland
Vision Res 46:1194-209. 2006..Taken together, these data demonstrate that-under natural conditions-low-level stimulus features affect attention in monkeys and humans differently... - Learning viewpoint invariant object representations using a temporal coherence principleWolfgang Einhäuser
Institute of Neuroinformatics, University and ETH Zurich, Zurich, Switzerland
Biol Cybern 93:79-90. 2005..In summary, here we show that unsupervised learning using a general coding principle facilitates the classification of real-world objects, that are not segmented from the background and undergo complex, non-isomorphic, transformations... - Learning of somatosensory representations for texture discrimination using a temporal coherence principleJoerg Hipp
Institute of Neuroinformatics, University of Zurich and Swiss Federal Institute of Technology ETH, Zurich, Switzerland
Network 16:223-38. 2005..Our results demonstrate that the optimisation of temporal coherence yields a representation that facilitates subsequent classification by selectively conveying relevant information... - The duration of the attentional blink in natural scenes depends on stimulus categoryWolfgang Einhäuser
Division of Biology, California Institute of Technology, Pasadena, CA, USA
Vision Res 47:597-607. 2007..We found a consistent AB for both target categories but the duration of the AB depended on the target category... - Human eye-head co-ordination in natural explorationWolfgang Einhäuser
Institute of Computational Science, ETH Zurich, Switzerland
Network 18:267-97. 2007..Natural retinal input is continuously dynamic, and cannot be faithfully modeled as a mere sequence of static frames with interleaved large saccades... - A bottom-up model of spatial attention predicts human error patterns in rapid scene recognitionWolfgang Einhäuser
Division of Biology, California Institute of Technology, Pasadena, CA, USA
J Vis 7:6.1-13. 2007..Consequently, and contrary to several previously published findings, our results demonstrate that attentional limitations, rather than target recognition alone, affect the detection of targets in rapidly presented visual sequences... - Task-demands can immediately reverse the effects of sensory-driven saliency in complex visual stimuliWolfgang Einhäuser
Division of Biology, California Institute of Technology, Pasadena, CA, USA
J Vis 8:2.1-19. 2008.... - Color aids late but not early stages of rapid natural scene recognitionAngela Y J Yao
Department of Information Technology and Electrical Engineering, Swiss Federal Institute of Technology ETH Zurich, Switzerland
J Vis 8:12.1-13. 2008..We may speculate that color ensures preferential access to or retrieval from memory when distinct items must be rapidly remembered...