The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A mathematical model for adaptive transport network in path finding by true slime mold
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Citations
Cites
Maze—solving by an amoeboid organism
Nakagaki, T., Yamada, H., & Tóth, Á. (2000) · Nature · doi:10.1038/35035159 · Cited by 1,022
Self-citation
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Rules for Biologically Inspired Adaptive Network Design
Tero, A., Takagi, S., Saigusa, T., Ito, K., Bebber, D. P., Fricker, M. D., Yumiki, K., Kobayashi, R., & Nakagaki, T. (2010) · Science · doi:10.1126/science.1177894 · Cited by 778
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Terando, A. J., Costanza, J., Belyea, C., Dunn, R. R., McKerrow, A., & Collazo, J. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102261 · Cited by 255
Slime Mold Solves Maze in One Pass, Assisted by Gradient of Chemo-Attractants
Adamatzky, A. (2012) · IEEE Transactions on NanoBioscience · doi:10.1109/tnb.2011.2181978 · Cited by 111
Statistical physics of liquid brains
Piñero, J., & Solé, R. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0376 · Cited by 39
On the Solution of the Steiner Tree NP-Hard Problem via Physarum BioNetwork
Caleffi, M., Akyildiz, I. F., & Paura, L. (2015) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2014.2317911 · Cited by 35
Metadata
- Authors
- Tero, A., Kobayashi, R., & Nakagaki, T.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2007-02
- Volume
- 244
- Issue
- 4
- Pages
- 553-564
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2003810228
- Cited by
- 402
- References
- 1
- FWCI
- 3.17
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Tero, A., Kobayashi, R., & Nakagaki, T. (2007). A mathematical model for adaptive transport network in path finding by true slime mold. Journal of Theoretical Biology. https://doi.org/10.1016/j.jtbi.2006.07.015
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.