{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T23:56:19Z","timestamp":1790034979329,"version":"4.0.1"},"reference-count":31,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroscience Methods"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1016\/j.jneumeth.2024.110294","type":"journal-article","created":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T20:15:29Z","timestamp":1726776929000},"page":"110294","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Artificial intelligence-based analysis of behavior and brain images in cocaine-self-administered marmosets"],"prefix":"10.1016","volume":"412","author":[{"given":"Wonmi","family":"Gu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juhui","family":"Gim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dohyun","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heejong","family":"Eom","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae Jun","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seong Shoon","family":"Yoon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tae-Young","family":"Heo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaesuk","family":"Yun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jneumeth.2024.110294_bib1","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.drugalcdep.2016.02.008","article-title":"Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence","volume":"161","author":"Ahn","year":"2016","journal-title":"Drug Alcohol Depend."},{"key":"10.1016\/j.jneumeth.2024.110294_bib2","doi-asserted-by":"crossref","unstructured":"Chen TandGuestrinC.X. A scalable tree boosting system. Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining, 2016: 785-794.","DOI":"10.1145\/2939672.2939785"},{"key":"10.1016\/j.jneumeth.2024.110294_bib3","doi-asserted-by":"crossref","first-page":"63","DOI":"10.3390\/vetsci1010063","article-title":"Respiratory animal models in the common marmoset (Callithrix jacchus)","volume":"1","author":"Curths","year":"2014","journal-title":"Vet. Sci."},{"key":"10.1016\/j.jneumeth.2024.110294_bib4","doi-asserted-by":"crossref","DOI":"10.3390\/ani12182414","article-title":"Performance of marmoset monkeys as embryo donors is reflected by different stress-related parameters","volume":"12","author":"Drummer","year":"2022","journal-title":"Animals"},{"key":"10.1016\/j.jneumeth.2024.110294_bib5","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1186\/s13040-019-0193-0","article-title":"Predicting opioid dependence from electronic health records with machine learning","volume":"12","author":"Ellis","year":"2019","journal-title":"BioData Min."},{"key":"10.1016\/j.jneumeth.2024.110294_bib6","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1146\/annurev-psych-122414-033457","article-title":"Drug addiction: updating actions to habits to compulsions ten years on","volume":"67","author":"Everitt","year":"2016","journal-title":"Annu Rev. Psychol."},{"key":"10.1016\/j.jneumeth.2024.110294_bib7","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s10994-006-6226-1","article-title":"Extremely randomized trees","volume":"63","author":"Geurts","year":"2006","journal-title":"Mach. Learn."},{"key":"10.1016\/j.jneumeth.2024.110294_bib8","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.eswa.2016.12.035","article-title":"Learning from class-imbalanced data: review of methods and applications","volume":"73","author":"Haixiang","year":"2017","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jneumeth.2024.110294_bib9","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1586\/14760584.8.3.313","article-title":"Replacement, reduction and refinement alternatives to animal use in vaccine potency measurement","volume":"8","author":"Hendriksen","year":"2009","journal-title":"Expert Rev. Vaccin."},{"key":"10.1016\/j.jneumeth.2024.110294_bib10","article-title":"Embryo-engineered nonhuman primate models: progress and gap to translational medicine","volume":"2021","author":"Huang","year":"2021","journal-title":"Res. (Wash. D. C. )"},{"key":"10.1016\/j.jneumeth.2024.110294_bib11","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1038\/npp.2008.103","article-title":"A data mining approach to in vivo classification of psychopharmacological drugs","volume":"34","author":"Kafkafi","year":"2009","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jneumeth.2024.110294_bib12","first-page":"30","article-title":"Lightgbm: a highly efficient gradient boosting decision tree","author":"Ke","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.jneumeth.2024.110294_bib13","doi-asserted-by":"crossref","first-page":"262","DOI":"10.3389\/fnbeh.2019.00262","article-title":"Understanding addiction using animal models","volume":"13","author":"Kuhn","year":"2019","journal-title":"Front Behav. Neurosci."},{"key":"10.1016\/j.jneumeth.2024.110294_bib14","doi-asserted-by":"crossref","first-page":"364","DOI":"10.5455\/aim.2016.24.364-369","article-title":"Applying naive bayesian networks to disease prediction: a systematic review","volume":"24","author":"Langarizadeh","year":"2016","journal-title":"Acta Inf. Med"},{"key":"10.1016\/j.jneumeth.2024.110294_bib15","first-page":"30","article-title":"A unified approach to interpreting model predictions","author":"Lundberg","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.jneumeth.2024.110294_bib16","unstructured":"National Research Council Committee for the Update of the Guide for the C., Use of Laboratory A.. The National Academies Collection: Reports funded by National Institutes of Health. Guide for the Care and Use of Laboratory Animals. National Academies Press (US). Copyright \u00a9 2011, National Academy of Sciences.: Washington (DC), 2011."},{"key":"10.1016\/j.jneumeth.2024.110294_bib17","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1111\/j.1360-0443.2007.02011.x","article-title":"Self-administration of drugs in animals and humans as a model and an investigative tool","volume":"102","author":"Panlilio","year":"2007","journal-title":"Addiction"},{"key":"10.1016\/j.jneumeth.2024.110294_bib18","doi-asserted-by":"crossref","DOI":"10.1111\/adb.12991","article-title":"Public perception of laboratory animal testing: historical, philosophical, and ethical view","volume":"26","author":"Petetta","year":"2021","journal-title":"Addict. Biol."},{"key":"10.1016\/j.jneumeth.2024.110294_bib19","article-title":"Prolonged exposure to cocaine self-administration results in a continued progression of alterations in functional activity in a nonhuman primate model","volume":"7","author":"Porrino","year":"2023","journal-title":"Drug Alcohol Depend. Rep."},{"key":"10.1016\/j.jneumeth.2024.110294_bib20","first-page":"234","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","volume":"2015","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.jneumeth.2024.110294_bib21","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/BF02246019","article-title":"Parametric analysis of cocaine self-administration under a progressive-ratio schedule in rhesus monkeys","volume":"125","author":"Rowlett","year":"1996","journal-title":"Psychopharmacology"},{"key":"10.1016\/j.jneumeth.2024.110294_bib22","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1038\/s42256-019-0048-x","article-title":"Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead","volume":"1","author":"Rudin","year":"2019","journal-title":"Nat. Mach. Intell."},{"key":"10.1016\/j.jneumeth.2024.110294_bib23","first-page":"63","article-title":"The 3Rs and animal welfare - conflict or the way forward?","volume":"20","author":"Rusche","year":"2003","journal-title":"Altex"},{"key":"10.1016\/j.jneumeth.2024.110294_bib24","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1002\/jmri.27682","article-title":"Multitask learning based three-dimensional striatal segmentation of MRI: fMRI and PET Objective Assessments","volume":"54","author":"Serrano-Sosa","year":"2021","journal-title":"J. Magn. Reson Imaging"},{"key":"10.1016\/j.jneumeth.2024.110294_bib25","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1186\/1471-2105-9-307","article-title":"Conditional variable importance for random forests","volume":"9","author":"Strobl","year":"2008","journal-title":"BMC Bioinforma."},{"key":"10.1016\/j.jneumeth.2024.110294_bib26","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-022-24173-x","article-title":"The progressive ratio and fixed ratio 1 schedules of cocaine self-administration in rats convey the same information","volume":"12","author":"Tsibulsky","year":"2022","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jneumeth.2024.110294_bib27","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.anbehav.2016.12.005","article-title":"Applications of machine learning in animal behaviour studies","volume":"124","author":"Valletta","year":"2017","journal-title":"Anim. Behav."},{"key":"10.1016\/j.jneumeth.2024.110294_bib28","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1038\/386827a0","article-title":"Relationship between subjective effects of cocaine and dopamine transporter occupancy","volume":"386","author":"Volkow","year":"1997","journal-title":"Nature"},{"key":"10.1016\/j.jneumeth.2024.110294_bib29","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0235750","article-title":"Machine learning for modeling animal movement","volume":"15","author":"Wijeyakulasuriya","year":"2020","journal-title":"PLoS One"},{"key":"10.1016\/j.jneumeth.2024.110294_bib30","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1186\/s12911-023-02371-5","article-title":"Interpretable prediction of 3-year all-cause mortality in patients with chronic heart failure based on machine learning","volume":"23","author":"Xu","year":"2023","journal-title":"BMC Med Inf. Decis. Mak."},{"key":"10.1016\/j.jneumeth.2024.110294_bib31","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1186\/1472-6947-10-16","article-title":"Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes","volume":"10","author":"Yu","year":"2010","journal-title":"BMC Med. Inf. Decis. Mak."}],"container-title":["Journal of Neuroscience Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165027024002395?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165027024002395?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T16:35:47Z","timestamp":1730133347000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165027024002395"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":31,"alternative-id":["S0165027024002395"],"URL":"https:\/\/doi.org\/10.1016\/j.jneumeth.2024.110294","relation":{},"ISSN":["0165-0270"],"issn-type":[{"value":"0165-0270","type":"print"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Artificial intelligence-based analysis of behavior and brain images in cocaine-self-administered marmosets","name":"articletitle","label":"Article Title"},{"value":"Journal of Neuroscience Methods","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jneumeth.2024.110294","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110294"}}