- Wolfgang Einhuser Institute of Neuroinformatics
- Abstract. The mammalian visual system is one of the most intensively investigated sensory systems. However,
- While inspecting complex natural scenes, human ob-servers sequentially allocate attention to subsets of the
- Decoding What People See from Where They Look: Predicting Visual Stimuli from Scanpaths
- Does luminance-contrast contribute to a saliency map for overt visual attention?
- Learning from the temporal structure of natural scenes: From V1 properties to object classification. Wolfgang Einhuser, Christoph Kayser, Mathias Franzius, Jrg Hipp, Gudrun U. Moeller, Konrad P. Krding & Peter Knig
- Towards unsupervised learning of invariance to a large class of transformations W. Einhuser, C. Kayser, K. P. Krding, P. Knig -Institute of Neuroinformatics (UNI/ETH Zrich)
- Learning from natural videos: From complex cells to object classification. W. Einhuser, C. Kayser, M. Franzius, J. Hipp, G.U. Moeller, K.P. Krding & P. Knig
- Network: Computation in Neural Systems September 2007; 18(3): 267297
- Are switches in perception of the Necker cube related to eye position?
- Does luminance-contrast contribute to a saliency-map for overt visual attention? Wolfgang Einhuser & Peter Knig, Institute of Neuroinformatics, UNI/ETH Zrich
- Functional Segregation of Visual Pathways by Learning from Natural Image Sequences. Wolfgang Einhuser, Christoph Kayser, Konrad P. Krding & Peter Knig
- Functional Segregation of Visual Pathways by Learning from Natural Image Sequences. Wolfgang Einhuser, Christoph Kayser, Konrad K rding & Peter Knig.
