Matthew C. Tresch
Cognitive Neuroscience · 2000–2009
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 14 citations into it; #4,632 of 10,852 by trust here, #5,162 by citations
- Social Psychology — 9 citations into it; #6,795 of 15,694 by trust here, #11,369 by citations
- Representation & Self-Supervised Learning — 5 citations into it
Whom Matthew C. Tresch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel D. Lee
- Tom Minka
- Anthony J. Bell
- Sam T. Roweis
- Michael E. Tipping
- Aapo Hyvärinen
- David L. Donoho
- Andrea d'Avella
- Lars Kai Hansen
- Terrence J. Sejnowski
Who trusts Matthew C. Tresch overall
- Emilio Bizzi
- Mark L. Latash
- Germana Cappellini
- Andrea d'Avella
- V. Cheung
- Yuri P. Ivanenko
- John P. Scholz
- Francesco Lacquaniti
- Alessandro Portone
Papers from Matthew C. Tresch's perspective
Ordered by how strongly the researchers Matthew C. Tresch trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning the parts of objects by non-negative matrix factorization
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images
- Probabilistic Principal Component Analysis
- The "independent components" of natural scenes are edge filters.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Networks for Pattern Recognition
- Receptive fields of single neurones in the cat's striate cortex
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
Their papers
- New perspectives on spinal motor systems (2000) — 253 citations
- Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. (2006) — 817 citations
- Simplified and effective motor control based on muscle synergies to exploit musculoskeletal dynamics (2009) — 193 citations