Michael Teichmann
Cognitive Neuroscience · 2012
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 15 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Neuroscience — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
- Signal Processing — 5 citations into it
Whom Michael Teichmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aapo Hyvärinen
- Peter Földiák
- Erkki Oja
- Teuvo Kohonen
- Laurenz Wiskott
- Barbara Olshausen
- David H. Hubel
- Pietro Berkes
- Urs Köster
- Patrik O. Hoyer
Papers from Michael Teichmann's perspective
Ordered by how strongly the researchers Michael Teichmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images
- Spatiotemporal energy models for the perception of motion.
- Slow Feature Analysis: Unsupervised Learning of Invariances
- An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex.
- Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
- Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map
- Estimation of Non-Normalized Statistical Models by Score Matching
- Slow feature analysis yields a rich repertoire of complex cell properties.
- Backpropagation Applied to Handwritten Zip Code Recognition