The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades
Aponte, Eduardo A; Schöbi, Dario; Stephan, Klaas E; Heinzle, Jakob (2017). The Stochastic Early Reaction, Inhibition, and late Action (SERIA) model for antisaccades. PLoS Computational Biology, 13(8):e1005692.
Additional indexing
Item Type: | Journal Article, refereed, original work |
---|---|
Communities & Collections: | 04 Faculty of Medicine > Institute of Biomedical Engineering |
Dewey Decimal Classification: | 170 Ethics
610 Medicine & health |
Scopus Subject Areas: | Life Sciences > Ecology, Evolution, Behavior and Systematics
Physical Sciences > Modeling and Simulation Physical Sciences > Ecology Life Sciences > Molecular Biology Life Sciences > Genetics Life Sciences > Cellular and Molecular Neuroscience Physical Sciences > Computational Theory and Mathematics |
Language: | English |
Date: | 2017 |
Deposited On: | 31 Aug 2017 14:46 |
Last Modified: | 17 Oct 2024 01:37 |
Publisher: | Public Library of Science (PLoS) |
ISSN: | 1553-734X |
OA Status: | Gold |
Free access at: | Publisher DOI. An embargo period may apply. |
Publisher DOI: | https://doi.org/10.1371/journal.pcbi.1005692 |
Permanent URL
https://doi.org/10.5167/uzh-139308Download
Links
Statistics
Citations
Dimensions.ai Metrics