Why Are Computational Neuroscience and Systems Biology So Separate?
Author Information
Author(s): Erik De Schutter
Primary Institution: Okinawa Institute of Science and Technology
Hypothesis
The review explores the reasons for the separation between computational neuroscience and systems biology.
Conclusion
The lack of interaction between computational neuroscience and systems biology is detrimental, as both fields can learn from each other.
Supporting Evidence
- Both fields emphasize computational modeling to study biological systems.
- Systems biology is better organized and effective at sharing resources.
- Computational neuroscience has more experience in multiscale modeling.
Takeaway
Computational neuroscience and systems biology are like two kids in a playground who don't play together, even though they could learn a lot from each other.
Methodology
The review reconstructs the history of both disciplines and discusses their differences and potential for collaboration.
Limitations
The review does not provide empirical data or specific case studies to support its claims.
Digital Object Identifier (DOI)
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