Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching

Srinivas Gorur-Shandilya, Alec Hoyland, Eve Marder

Open source

DOI: 10.3389/fninf.2018.00087
Published: 2018-11-26
Container: Frontiers in Neuroinformatics
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fninf.2018.00087,
  title = {Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching},
  author = {Srinivas Gorur-Shandilya and Alec Hoyland and Eve Marder},
  year = {2018},
  journal = {Frontiers in Neuroinformatics},
  doi = {10.3389/fninf.2018.00087},
  url = {https://doi.org/10.3389/fninf.2018.00087}
}

RIS

TY  - JOUR
TI  - Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching
AU  - Srinivas Gorur-Shandilya
AU  - Alec Hoyland
AU  - Eve Marder
PY  - 2018
JO  - Frontiers in Neuroinformatics
DO  - 10.3389/fninf.2018.00087
UR  - https://doi.org/10.3389/fninf.2018.00087
ER  -

APA

Gorur-Shandilya, S., Hoyland, A., & Marder, E. (2018). Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching. Frontiers in Neuroinformatics. https://doi.org/10.3389/fninf.2018.00087

Source records

crossref · retrieved 2026-09-24T22:58:16.954Z