Chialvo map (
final version) received a
peer review by Wikipedia editors, which on 7 October 2022 was archived. It may contain ideas you can use to improve this article.
This article has not yet been rated on Wikipedia's
content assessment scale. It is of interest to the following
WikiProjects:
This article is within the scope of WikiProject Neuroscience, a collaborative effort to improve the coverage of
Neuroscience on Wikipedia. If you would like to participate, please visit the project page, where you can join
the discussion and see a list of open tasks.NeuroscienceWikipedia:WikiProject NeuroscienceTemplate:WikiProject Neuroscienceneuroscience articles
Hi @
EyistoA! I noticed your request for review and I can offer a few observations. Please take my comments with a grain of salt, as I am a relatively new editor; more experienced editors may have better comments. It looks like it's coming together nicely, but it's too technical for a non-expert like me to learn much about the topic. More specific comments below.
Lead. The lead needs to establish "What is it?" and "Why is it important?" I get the sense that you have established that to an expert, but as a non-expert, it's hard for me to grab onto something. Perhaps you could illustrate the concept with one or two very concrete examples - what type of neural network are you talking about and what is it used for? What is an excitable system? What is it a 2-D map of? The lead says "only three parameters" which seem to imply 3 is a nice small number, but again non-experts won't know what that number means or possibly even why fewer parameters is often desirable. Several well-chosen wikilinks in the lead could also help orient the reader. I'm looking at
MOS:INTRO and noticing where it says "It is even more important here than in the rest of the article that the text be accessible."
Figures. The article has a lot of figures in comparison to the text. For an article about a map, that seems reasonable. But they need better captions that put them into context to a layperson. Also, the lead talks about a 2-D map, but the very first image looks like a time domain signal like EKG or spike train. So I'm left wondering how the map fits in.
Sources. There are only 4 sources, which seems like very few. I'm left wondering if I'm missing important parts of the topic. The second one appears to fall under
WP:CIRC and probably can't be used.
Biggest suggestion: make it more accessible by expanding the prose with more examples for the layperson.
Chialvo map (
final version) received a
peer review by Wikipedia editors, which on 7 October 2022 was archived. It may contain ideas you can use to improve this article.
This article has not yet been rated on Wikipedia's
content assessment scale. It is of interest to the following
WikiProjects:
This article is within the scope of WikiProject Neuroscience, a collaborative effort to improve the coverage of
Neuroscience on Wikipedia. If you would like to participate, please visit the project page, where you can join
the discussion and see a list of open tasks.NeuroscienceWikipedia:WikiProject NeuroscienceTemplate:WikiProject Neuroscienceneuroscience articles
Hi @
EyistoA! I noticed your request for review and I can offer a few observations. Please take my comments with a grain of salt, as I am a relatively new editor; more experienced editors may have better comments. It looks like it's coming together nicely, but it's too technical for a non-expert like me to learn much about the topic. More specific comments below.
Lead. The lead needs to establish "What is it?" and "Why is it important?" I get the sense that you have established that to an expert, but as a non-expert, it's hard for me to grab onto something. Perhaps you could illustrate the concept with one or two very concrete examples - what type of neural network are you talking about and what is it used for? What is an excitable system? What is it a 2-D map of? The lead says "only three parameters" which seem to imply 3 is a nice small number, but again non-experts won't know what that number means or possibly even why fewer parameters is often desirable. Several well-chosen wikilinks in the lead could also help orient the reader. I'm looking at
MOS:INTRO and noticing where it says "It is even more important here than in the rest of the article that the text be accessible."
Figures. The article has a lot of figures in comparison to the text. For an article about a map, that seems reasonable. But they need better captions that put them into context to a layperson. Also, the lead talks about a 2-D map, but the very first image looks like a time domain signal like EKG or spike train. So I'm left wondering how the map fits in.
Sources. There are only 4 sources, which seems like very few. I'm left wondering if I'm missing important parts of the topic. The second one appears to fall under
WP:CIRC and probably can't be used.
Biggest suggestion: make it more accessible by expanding the prose with more examples for the layperson.