@article{schutter_why_2008,
	title = {Why {Are} {Computational} {Neuroscience} and {Systems} {Biology} {So} {Separate}?},
	volume = {4},
	issn = {1553-7358},
	url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000078},
	doi = {10.1371/journal.pcbi.1000078},
	abstract = {Despite similar computational approaches, there is surprisingly little interaction between the computational neuroscience and the systems biology research communities. In this review I reconstruct the history of the two disciplines and show that this may explain why they grew up apart. The separation is a pity, as both fields can learn quite a bit from each other. Several examples are given, covering sociological, software technical, and methodological aspects. Systems biology is a better organized community which is very effective at sharing resources, while computational neuroscience has more experience in multiscale modeling and the analysis of information processing by biological systems. Finally, I speculate about how the relationship between the two fields may evolve in the near future.},
	language = {en},
	number = {5},
	urldate = {2021-04-20},
	journal = {PLOS Computational Biology},
	author = {Schutter, Erik De},
	month = may,
	year = {2008},
	note = {ZSCC: 0000102 
Publisher: Public Library of Science},
	keywords = {Cellular neuroscience, Computational neuroscience, Computer software, Information processing, Neural networks, Neuronal dendrites, Neurons, Systems biology},
	pages = {e1000078},
}

{"_id":"z8kQ4cRi83TSTyncS","bibbaseid":"schutter-whyarecomputationalneuroscienceandsystemsbiologysoseparate-2008","author_short":["Schutter, E. D."],"bibdata":{"bibtype":"article","type":"article","title":"Why Are Computational Neuroscience and Systems Biology So Separate?","volume":"4","issn":"1553-7358","url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000078","doi":"10.1371/journal.pcbi.1000078","abstract":"Despite similar computational approaches, there is surprisingly little interaction between the computational neuroscience and the systems biology research communities. In this review I reconstruct the history of the two disciplines and show that this may explain why they grew up apart. The separation is a pity, as both fields can learn quite a bit from each other. Several examples are given, covering sociological, software technical, and methodological aspects. Systems biology is a better organized community which is very effective at sharing resources, while computational neuroscience has more experience in multiscale modeling and the analysis of information processing by biological systems. Finally, I speculate about how the relationship between the two fields may evolve in the near future.","language":"en","number":"5","urldate":"2021-04-20","journal":"PLOS Computational Biology","author":[{"propositions":[],"lastnames":["Schutter"],"firstnames":["Erik","De"],"suffixes":[]}],"month":"May","year":"2008","note":"ZSCC: 0000102 Publisher: Public Library of Science","keywords":"Cellular neuroscience, Computational neuroscience, Computer software, Information processing, Neural networks, Neuronal dendrites, Neurons, Systems biology","pages":"e1000078","bibtex":"@article{schutter_why_2008,\n\ttitle = {Why {Are} {Computational} {Neuroscience} and {Systems} {Biology} {So} {Separate}?},\n\tvolume = {4},\n\tissn = {1553-7358},\n\turl = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000078},\n\tdoi = {10.1371/journal.pcbi.1000078},\n\tabstract = {Despite similar computational approaches, there is surprisingly little interaction between the computational neuroscience and the systems biology research communities. In this review I reconstruct the history of the two disciplines and show that this may explain why they grew up apart. The separation is a pity, as both fields can learn quite a bit from each other. Several examples are given, covering sociological, software technical, and methodological aspects. Systems biology is a better organized community which is very effective at sharing resources, while computational neuroscience has more experience in multiscale modeling and the analysis of information processing by biological systems. Finally, I speculate about how the relationship between the two fields may evolve in the near future.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2021-04-20},\n\tjournal = {PLOS Computational Biology},\n\tauthor = {Schutter, Erik De},\n\tmonth = may,\n\tyear = {2008},\n\tnote = {ZSCC: 0000102 \nPublisher: Public Library of Science},\n\tkeywords = {Cellular neuroscience, Computational neuroscience, Computer software, Information processing, Neural networks, Neuronal dendrites, Neurons, Systems biology},\n\tpages = {e1000078},\n}\n\n","author_short":["Schutter, E. D."],"key":"schutter_why_2008","id":"schutter_why_2008","bibbaseid":"schutter-whyarecomputationalneuroscienceandsystemsbiologysoseparate-2008","role":"author","urls":{"Paper":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000078"},"keyword":["Cellular neuroscience","Computational neuroscience","Computer software","Information processing","Neural networks","Neuronal dendrites","Neurons","Systems biology"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://api.zotero.org/users/6447874/collections/RSMZAXH7/items?key=Eppu1fJggDPeG16ZxAoyiL0B&format=bibtex&limit=100","dataSources":["ThttW7PALwAj8Kk5v","Hz7SN5nviW4s2T68Z","Y9jSnChjeWt4gfTYz","QSkyBzZLzfXZKC8Nn","Atqd7ACcYiuJWgFM5","eTsH756eicg6vxuG3","2xNJt8F9ycSxncQKj","EKxBrSsfPezTHbDWT","kXXWdcF2aSxACmQfg","aAEbv4vT6CCmJE8mh","nkPnqKJ3edHvru7xy","oE7RvY24f5uMojc2o","nZErBtJuL7A7qigAD","aSfmZTsLYeMxcBPdN","9FsCyQtDTdB9Nf2iP"],"keywords":["cellular neuroscience","computational neuroscience","computer software","information processing","neural networks","neuronal dendrites","neurons","systems biology"],"search_terms":["computational","neuroscience","systems","biology","separate","schutter"],"title":"Why Are Computational Neuroscience and Systems Biology So Separate?","year":2008}