Draft:Gabriele Scheler


  • Comment: Well done on creating the draft, and it may potentially meet the relevant requirements (including WP:GNG, WP:ANYBIO, WP:NPROF) but presently it is not clear that it does.
    As you may know, Wikipedia's basic requirement for entry is that the subject is notable. Essentially subjects are presumed notable if they have received significant coverage in multiple published secondary sources that are reliable, intellectually independent of each other, and independent of the subject. To properly create such a draft page, please see the articles ‘Your First Article’, ‘Referencing for Beginners’ and ‘Easier Referencing for Beginners’.
    Please note that many of the references are written by the subject (Scheler) rather than about her. TO establish notability 9as defined) requires reliable sources about her.
    Additionally, the draft tends to read too much like a CV, which Wikipedia is not.
    Also, if you have any connection to the subject, including being paid, you have a conflict of interest that you must declare on your Talk page (to see instructions on how to do this please click the link).
    Please familiarise yourself with these pages before amending the draft. If you feel you can meet these requirements, then please make the necessary amendments before resubmitting the page. It would help our volunteer reviewers by identifying, on the draft's talk page, the WP:THREE best sources that establish notability of the subject.
    It would also be helpful if you could please identify with specificity, exactly which criteria you believe the page meets (eg "I think the page now meets WP:NPROF criteria #3, because XXXXX").
    You may also wish to leave a note for me on my talk page and I would be happy to reassess. As I said, I do think this draft has potential so please do persevere. Cabrils (talk) 03:35, 27 January 2024 (UTC)


Gabriele Dorothea Scheler (born 1960 in Göttingen) is a German-American computer scientist and neuroscientist. Her main contribution to neuroscience is a theory of neuroplasticity, which uses internal memory to guide adaptivity at the membrane[1]. She is co-founder of the Carl Correns Foundation for Mathematical Biology.[2], a non-profit institute to further research and scholarship in mathematics applied to biology. The institute was founded in 2011, and went into operation in 2016. It was named after her great-grandfather Carl Erich Correns who pioneered the application of mathematical and statistical tools for theoretical discovery. It has gained reputation for research on neuroplasticity, pioneering a major new theory for molecular memory beyond the electrophysiological theories of LTP/LTD. She discussed her biography and the topics of AI, NeuroAI and genAI in an interview [3] in 2024.

  1. ^ Gabriele Scheler (Sept. 2022) Sketch of a novel approach to a neural model. arxiv 2209.06865 [1]
  2. ^ Carl Correns Foundation for Mathematical Biology [2]]
  3. ^ Hitech NeuroAI[[3]]

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