An integrative computational approach for obstacle avoidance during action selection

Shan Zhong, Nader Pouratian, Paul Schrater, Vassilios Christopoulos

Open source

DOI: 10.1371/journal.pcbi.1013756
Published: 2026-10-26
Container: PLOS Computational Biology
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1013756,
  title = {An integrative computational approach for obstacle avoidance during action selection},
  author = {Shan Zhong and Nader Pouratian and Paul Schrater and Vassilios Christopoulos},
  year = {2026},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1013756},
  url = {https://doi.org/10.1371/journal.pcbi.1013756}
}

RIS

TY  - JOUR
TI  - An integrative computational approach for obstacle avoidance during action selection
AU  - Shan Zhong
AU  - Nader Pouratian
AU  - Paul Schrater
AU  - Vassilios Christopoulos
PY  - 2026
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1013756
UR  - https://doi.org/10.1371/journal.pcbi.1013756
ER  -

APA

Zhong, S., Pouratian, N., Schrater, P., & Christopoulos, V. (2026). An integrative computational approach for obstacle avoidance during action selection. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1013756

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crossref · retrieved 2026-11-10T08:44:14.015Z