{"day":"01","year":"2017","status":"public","date_created":"2021-08-10T07:05:10Z","doi":"10.1371/journal.pcbi.1005582.s001","article_processing_charge":"No","title":"Supplementary appendix","date_published":"2017-06-01T00:00:00Z","user_id":"6785fbc1-c503-11eb-8a32-93094b40e1cf","date_updated":"2023-02-23T12:52:17Z","author":[{"id":"2BAAC544-F248-11E8-B48F-1D18A9856A87","last_name":"Chalk","orcid":"0000-0001-7782-4436","first_name":"Matthew J","full_name":"Chalk, Matthew J"},{"last_name":"Masset","first_name":"Paul","full_name":"Masset, Paul"},{"full_name":"Gutkin, Boris","first_name":"Boris","last_name":"Gutkin"},{"last_name":"Denève","first_name":"Sophie","full_name":"Denève, Sophie"}],"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"680"}]},"abstract":[{"lang":"eng","text":"Includes derivation of optimal estimation algorithm, generalisation to non-poisson noise statistics, correlated input noise, and implementation of in a multi-layer neural network."}],"publisher":"Public Library of Science","citation":{"chicago":"Chalk, Matthew J, Paul Masset, Boris Gutkin, and Sophie Denève. “Supplementary Appendix.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005582.s001.","apa":"Chalk, M. J., Masset, P., Gutkin, B., & Denève, S. (2017). Supplementary appendix. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005582.s001","mla":"Chalk, Matthew J., et al. Supplementary Appendix. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005582.s001.","short":"M.J. Chalk, P. Masset, B. Gutkin, S. Denève, (2017).","ista":"Chalk MJ, Masset P, Gutkin B, Denève S. 2017. Supplementary appendix, Public Library of Science, 10.1371/journal.pcbi.1005582.s001.","ama":"Chalk MJ, Masset P, Gutkin B, Denève S. Supplementary appendix. 2017. doi:10.1371/journal.pcbi.1005582.s001","ieee":"M. J. Chalk, P. Masset, B. Gutkin, and S. Denève, “Supplementary appendix.” Public Library of Science, 2017."},"month":"06","oa_version":"Published Version","department":[{"_id":"GaTk"}],"type":"research_data_reference","_id":"9855"}