Germana Cappellini
Cognitive Neuroscience · 2006–2011
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 11 citations into it
- Biomedical Engineering — 9 citations into it
Whom Germana Cappellini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrea d'Avella
- Daniel D. Lee
- Anthony J. Bell
- Yuri P. Ivanenko
- Matthew C. Tresch
- Felix E. Zajac
- Terrence J. Sejnowski
- Emilio Bizzi
- Richard Poppele
- V. Cheung
Who trusts Germana Cappellini overall
Papers from Germana Cappellini's perspective
Ordered by how strongly the researchers Germana Cappellini trusts endorse each paper. Same corpus, a different order for every researcher.
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution
- Learning the parts of objects by non-negative matrix factorization
- Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. (Journal of Neurophysiology)
- Biomechanics and muscle coordination of human walking: part II: lessons from dynamical simulations and clinical implications. (Gait & Posture)
- Shared and specific muscle synergies in natural motor behaviors. (Proceedings of the National Academy of Sciences of the United States of America)
- Generating the walking gait: role of sensory feedback. (Progress in Brain Research)
- Muscle mechanical advantage of human walking and running: implications for energy cost. (Journal of applied physiology)
- Combinations of muscle synergies in the construction of a natural motor behavior
- Emergence of simple-cell receptive field properties by learning a sparse code for natural images
- The "independent components" of natural scenes are edge filters.
Their papers
- Motor patterns in human walking and running. (2006) — 826 citations
- Locomotor Primitives in Newborn Babies and Their Development (2011) — 646 citations