Why Are Computational Neuroscience and Systems Biology So Separate? | Zendy

Erik De Schutter | Zendy

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Why Are Computational Neuroscience and Systems Biology So Separate?

Author(s) -

Erik De Schutter

Publication year - 2008

Publication title -

plos computational biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.628

H-Index - 182

eISSN - 1553-7358

pISSN - 1553-734X

DOI - 10.1371/journal.pcbi.1000078

Subject(s) - systems biology , computational neuroscience , cognitive science , computational model , computer science , data science , systems neuroscience , pity , neuroscience , biology , artificial intelligence , computational biology , psychology , social psychology , myelin , oligodendrocyte , central nervous system

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.

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