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Torsten Nils Wiesel (* 3. června 1924 Uppsala) je švédský neurofyziolog. Spolu s Davidem H. Hubelem získal polovinu Nobelovy ceny za fyziologii a lékařství za rok 1981 za objevy v oblasti zpracování zrakové informace mozkem (druhou polovinu ceny obdržel Roger W. Sperry). Vystudoval švédskou univerzitu Karolinska Institutet, kde byl jeho učitelem Carl…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Torsten Wiesel.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Torsten Wiesel shows recurring relationship patterns in the source. For example, Torsten Wiesel → Obrázky, Wikimedia Commons Another extracted example is Torsten Wiesel → Karolínský ústav. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
wiesel torsten uppsala švédsko června 1924 fyziologii lékařství 1981 1998 listopadu 2006 datové položky švédský nils neurofyziolog spolu davidem hubelem
TTTA extracted 8 structured relationships around Torsten Wiesel. Examples in this analysis include Torsten Wiesel → Alma mater → Karolínský ústav and Torsten Wiesel → Manžel(ka) → Lizette Mususa Reyes (od 2008) Jean Stein (1995–2007) Ann Yee (1973–1981) Teeri Stenhammar (1956–1970). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Torsten Wiesel | Alma mater | Karolínský ústav | 1.00 | infobox |
| Torsten Wiesel | Manžel(ka) | Lizette Mususa Reyes (od 2008) Jean Stein (1995–2007) Ann Yee (1973–1981) Teeri Stenhammar (1956–1970) | 1.00 | infobox |
| Torsten Wiesel | Narození | 3. června 1924 (102 let) Uppsala Švédsko Švédsko | 1.00 | infobox |
| Torsten Wiesel | Obory | neurobiologie a neurověda | 1.00 | infobox |
| Torsten Wiesel | Ocenění | Rosenstielová cena (1971) Karl Spencer Lashley Award (1977) Cena Louisy Grossové Horwitzové (1978) Dicksonova cena za medicínu (1980) Nobelova cena za fyziologii a lékařství (19… | 1.00 | infobox |
| Torsten Wiesel | Pracoviště | Rockefellerova univerzita (1983–1998) Univerzita Johnse Hopkinse Harvardova univerzita Rockefellerova univerzita | 1.00 | infobox |
| Torsten Wiesel | related to Externí odkazy | Obrázky | 0.60 | section |
| Torsten Wiesel | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
The concept neighborhoods around Torsten Wiesel bring nearby vocabulary together. In this analysis, examples include Uppsala, Června and Wiesel. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Torsten Wiesel map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Torsten Wiesel to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Torsten Wiesel · CS edition · Analysis: TopicsToTalkAbout