{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T12:08:36Z","timestamp":1778933316354,"version":"3.51.4"},"reference-count":71,"publisher":"Elsevier BV","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32300853"],"award-info":[{"award-number":["32300853"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["cell.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Cell Reports Methods"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1016\/j.crmeth.2025.101246","type":"journal-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T15:34:58Z","timestamp":1764689698000},"page":"101246","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Computational modeling reveals cognitive processes in simple rodent depression tests"],"prefix":"10.1016","volume":"5","author":[{"given":"Zhihan","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianyu","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaozhao","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun-Feng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.crmeth.2025.101246_bib1","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1038\/s41583-018-0054-8","article-title":"Rodent models for Alzheimer disease","volume":"19","author":"J","year":"2018","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib2","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.1016\/j.biopsych.2006.05.008","article-title":"Schizophrenia-Relevant Behavioral Testing in Rodent Models: A Uniquely Human Disorder?","volume":"59","author":"Powell","year":"2006","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib3","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1242\/dmm.026120","article-title":"Rodent models in neuroscience research: is it a rat race?","volume":"9","author":"Ellenbroek","year":"2016","journal-title":"Dis. Model. Mech."},{"key":"10.1016\/j.crmeth.2025.101246_bib4","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s42826-020-00039-z","article-title":"Rodent models for psychiatric disorders: problems and promises","volume":"36","author":"Baker","year":"2020","journal-title":"Lab. Anim. Res."},{"key":"10.1016\/j.crmeth.2025.101246_bib5","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1016\/j.biopsych.2015.03.013","article-title":"Excitation-Inhibition Discoordination in Rodent Models of Mental Disorders","volume":"77","author":"Fenton","year":"2015","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.applanim.2013.07.017","article-title":"Assessing the emotions of laboratory rats","volume":"148","author":"Makowska","year":"2013","journal-title":"Appl. Anim. Behav. Sci."},{"key":"10.1016\/j.crmeth.2025.101246_bib7","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.biopsych.2015.04.023","article-title":"Caution When Diagnosing Your Mouse With Schizophrenia: The Use and Misuse of Model Animals for Understanding Psychiatric Disorders","volume":"79","author":"Wong","year":"2016","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib8","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1038\/s41380-022-01913-z","article-title":"A paradigm shift in translational psychiatry through rodent neuroethology","volume":"28","author":"Shemesh","year":"2023","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib9","doi-asserted-by":"crossref","first-page":"2813","DOI":"10.1111\/ejn.15139","article-title":"Forced swim stressor: Trends in usage and mechanistic consideration","volume":"55","author":"Molendijk","year":"2022","journal-title":"Eur. J. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib10","doi-asserted-by":"crossref","first-page":"e551","DOI":"10.1038\/tp.2015.44","article-title":"Novel insights into the behavioral analysis of mice subjected to the forced-swim test","volume":"5","author":"Chen","year":"2015","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib11","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1038\/d41586-019-02133-2","article-title":"Depression researchers rethink popular mouse swim tests","volume":"571","author":"Reardon","year":"2019","journal-title":"Nature"},{"key":"10.1016\/j.crmeth.2025.101246_bib12","article-title":"The Tail Suspension Test","volume":"3769","author":"Can","year":"2012","journal-title":"J. Vis. Exp."},{"key":"10.1016\/j.crmeth.2025.101246_bib13","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.neubiorev.2020.01.034","article-title":"Revisiting the validity of the mouse tail suspension test: Systematic review and meta-analysis of the effects of prototypic antidepressants","volume":"112","author":"Stukalin","year":"2020","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.crmeth.2025.101246_bib14","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/0031-9384(89)90261-8","article-title":"Learned immobility explains the behavior of rats in the forced swimming test","volume":"46","author":"De Pablo","year":"1989","journal-title":"Physiol. Behav."},{"key":"10.1016\/j.crmeth.2025.101246_bib15","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.psyneuen.2015.08.028","article-title":"Immobility in the forced swim test is adaptive and does not reflect depression","volume":"62","author":"Molendijk","year":"2015","journal-title":"Psychoneuroendocrinology"},{"key":"10.1016\/j.crmeth.2025.101246_bib16","doi-asserted-by":"crossref","DOI":"10.1155\/2016\/6503162","article-title":"Coping with the Forced Swim Stressor: Towards Understanding an Adaptive Mechanism","volume":"2016","author":"de Kloet","year":"2016","journal-title":"Neural Plast."},{"key":"10.1016\/j.crmeth.2025.101246_bib17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.bbr.2019.02.005","article-title":"Coping with the forced swim stressor: Current state-of-the-art","volume":"364","author":"Molendijk","year":"2019","journal-title":"Behav. Brain Res."},{"key":"10.1016\/j.crmeth.2025.101246_bib18","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1038\/npp.2017.260","article-title":"Too Depressed to Swim or Too Afraid to Stop? A Reinterpretation of the Forced Swim Test as a Measure of Anxiety-Like Behavior","volume":"43","author":"Anyan","year":"2018","journal-title":"Neuropsychopharmacol"},{"key":"10.1016\/j.crmeth.2025.101246_bib19","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.neubiorev.2021.06.014","article-title":"The forced swim test: Historical, conceptual and methodological considerations and its relationship with individual behavioral traits","volume":"128","author":"Armario","year":"2021","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.crmeth.2025.101246_bib20","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.1038\/s41593-018-0209-y","article-title":"DeepLabCut: markerless pose estimation of user-defined body parts with deep learning","volume":"21","author":"Mathis","year":"2018","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib21","doi-asserted-by":"crossref","first-page":"2152","DOI":"10.1038\/s41596-019-0176-0","article-title":"Using DeepLabCut for 3D markerless pose estimation across species and behaviors","volume":"14","author":"Nath","year":"2019","journal-title":"Nat. Protoc."},{"key":"10.1016\/j.crmeth.2025.101246_bib22","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1038\/s41592-022-01443-0","article-title":"Multi-animal pose estimation, identification and tracking with DeepLabCut","volume":"19","author":"Lauer","year":"2022","journal-title":"Nat. Methods"},{"key":"10.1016\/j.crmeth.2025.101246_bib23","doi-asserted-by":"crossref","first-page":"5165","DOI":"10.1038\/s41467-024-48792-2","article-title":"SuperAnimal pretrained pose estimation models for behavioral analysis","volume":"15","author":"Ye","year":"2024","journal-title":"Nat. Commun."},{"key":"10.1016\/j.crmeth.2025.101246_bib24","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1038\/s41592-018-0234-5","article-title":"Fast animal pose estimation using deep neural networks","volume":"16","author":"Pereira","year":"2019","journal-title":"Nat. Methods"},{"key":"10.1016\/j.crmeth.2025.101246_bib25","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1038\/s41592-022-01426-1","article-title":"SLEAP: A deep learning system for multi-animal pose tracking","volume":"19","author":"Pereira","year":"2022","journal-title":"Nat. Methods"},{"key":"10.1016\/j.crmeth.2025.101246_bib26","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1093\/scan\/nsaa089","article-title":"Using reinforcement learning models in social neuroscience: Frameworks, pitfalls and suggestions of best practices","volume":"15","author":"Zhang","year":"2020","journal-title":"Soc. Cogn. Affect. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib27","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1162\/CPSY_a_00002","article-title":"Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package","volume":"1","author":"Ahn","year":"2017","journal-title":"Comput. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib28","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1016\/j.biopsych.2019.07.017","article-title":"Distorted Cognitive Processes in Major Depression: A Predictive Processing Perspective","volume":"87","author":"Kube","year":"2020","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib29","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1001\/jamapsychiatry.2019.4971","article-title":"Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation","volume":"77","author":"Berwian","year":"2020","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1146\/annurev-neuro-071714-033928","article-title":"Depression: A Decision-Theoretic Analysis","volume":"38","author":"Huys","year":"2015","journal-title":"Annu. Rev. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib31","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1186\/2045-5380-3-12","article-title":"Mapping anhedonia onto reinforcement learning: a behavioural meta-analysis","volume":"3","author":"Huys","year":"2013","journal-title":"Biol. Mood Anxiety Disord."},{"key":"10.1016\/j.crmeth.2025.101246_bib32","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.3000908","article-title":"Modeling flexible behavior in childhood to adulthood shows age-dependent learning mechanisms and less optimal learning in autism in each age group","volume":"18","author":"Crawley","year":"2020","journal-title":"PLoS Biol."},{"key":"10.1016\/j.crmeth.2025.101246_bib33","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1001\/jamapsychiatry.2021.1844","article-title":"Reinforcement Learning Disruptions in Individuals with Depression and Sensitivity to Symptom Change following Cognitive Behavioral Therapy","volume":"78","author":"Brown","year":"2021","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1001\/jamapsychiatry.2013.75","article-title":"Reward Signals, Attempted Suicide, and Impulsivity in Late-Life Depression","volume":"70","author":"Dombrovski","year":"2013","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib35","article-title":"A brain network supporting social influences in human decision-making","volume":"6","author":"Zhang","year":"2020","journal-title":"Sci. Adv."},{"key":"10.1016\/j.crmeth.2025.101246_bib36","doi-asserted-by":"crossref","DOI":"10.1016\/j.appet.2023.106484","article-title":"Computational mechanisms underpinning greater exploratory behaviour in excess weight relative to healthy weight adolescents","volume":"183","author":"Halim","year":"2023","journal-title":"Appetite"},{"key":"10.1016\/j.crmeth.2025.101246_bib37","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1038\/s41593-018-0315-x","article-title":"Neural computations of threat in the aftermath of combat trauma","volume":"22","author":"Homan","year":"2019","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib38","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1038\/s41386-022-01523-x","article-title":"Chronic escitalopram in healthy volunteers has specific effects on reinforcement sensitivity: a double-blind, placebo-controlled semi-randomised study","volume":"48","author":"Langley","year":"2023","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.crmeth.2025.101246_bib39","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1038\/s41562-020-0905-y","article-title":"Humans primarily use model-based inference in the two-stage task","volume":"4","author":"Feher da Silva","year":"2020","journal-title":"Nat. Hum. Behav."},{"key":"10.1016\/j.crmeth.2025.101246_bib40","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1001\/jamapsychiatry.2022.0051","article-title":"Reinforcement Learning in Patients With Mood and Anxiety Disorders vs Control Individuals: A Systematic Review and Meta-analysis","volume":"79","author":"Pike","year":"2022","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib41","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.1001\/jamapsychiatry.2022.2996","article-title":"Evaluation of Early Ketamine Effects on Belief-Updating Biases in Patients With Treatment-Resistant Depression","volume":"79","author":"Bottemanne","year":"2022","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib42","doi-asserted-by":"crossref","first-page":"1751","DOI":"10.1093\/brain\/awr059","article-title":"Expected value and prediction error abnormalities in depression and schizophrenia","volume":"134","author":"Gradin","year":"2011","journal-title":"Brain"},{"key":"10.1016\/j.crmeth.2025.101246_bib43","doi-asserted-by":"crossref","first-page":"2084","DOI":"10.1093\/brain\/awn136","article-title":"Abnormal temporal difference reward-learning signals in major depression","volume":"131","author":"Kumar","year":"2008","journal-title":"Brain"},{"key":"10.1016\/j.crmeth.2025.101246_bib44","doi-asserted-by":"crossref","first-page":"1581","DOI":"10.1038\/s41386-018-0032-x","article-title":"Impaired reward prediction error encoding and striatal-midbrain connectivity in depression","volume":"43","author":"Kumar","year":"2018","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.crmeth.2025.101246_bib45","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.neubiorev.2015.05.005","article-title":"Reinforcement learning in depression: A review of computational research","volume":"55","author":"Chen","year":"2015","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.crmeth.2025.101246_bib46","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1038\/nn.4238","article-title":"Computational psychiatry as a bridge from neuroscience to clinical applications","volume":"19","author":"Huys","year":"2016","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib47","doi-asserted-by":"crossref","first-page":"166","DOI":"10.5334\/cpsy.83","article-title":"What Can Reinforcement Learning Models of Dopamine and Serotonin Tell Us about the Action of Antidepressants?","volume":"6","author":"Lan","year":"2022","journal-title":"Comput. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib48","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1016\/j.tics.2022.04.005","article-title":"The computational roots of positivity and confirmation biases in reinforcement learning","volume":"26","author":"Palminteri","year":"2022","journal-title":"Trends Cogn. Sci."},{"key":"10.1016\/j.crmeth.2025.101246_bib49","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1177\/1745691620931496","article-title":"When Beliefs Face Reality: An Integrative Review of Belief Updating in Mental Health and Illness","volume":"16","author":"Kube","year":"2021","journal-title":"Perspect. Psychol. Sci."},{"key":"10.1016\/j.crmeth.2025.101246_bib50","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2022.814111","article-title":"Models of Dynamic Belief Updating in Psychosis\u2014A Review Across Different Computational Approaches","volume":"13","author":"Katthagen","year":"2022","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101246_bib51","doi-asserted-by":"crossref","DOI":"10.1177\/2470547020984732","article-title":"Applying Reinforcement Learning to Rodent Stress Research","volume":"5","author":"Liao","year":"2021","journal-title":"Chronic Stress"},{"key":"10.1016\/j.crmeth.2025.101246_bib52","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.1016\/j.cell.2020.11.013","article-title":"A Unified Framework for Dopamine Signals across Timescales","volume":"183","author":"Kim","year":"2020","journal-title":"Cell"},{"key":"10.1016\/j.crmeth.2025.101246_bib53","series-title":"Advances in Neural Information Processing Systems 2018","first-page":"4228","article-title":"Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models","author":"Dezfouli","year":"2018"},{"key":"10.1016\/j.crmeth.2025.101246_bib54","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1038\/s41586-019-1924-6","article-title":"A distributional code for value in dopamine-based reinforcement learning","volume":"577","author":"Dabney","year":"2020","journal-title":"Nature"},{"key":"10.1016\/j.crmeth.2025.101246_bib55","doi-asserted-by":"crossref","first-page":"2419","DOI":"10.1038\/s41467-023-38028-0","article-title":"A computational analysis of mouse behavior in the sucrose preference test","volume":"14","author":"Verharen","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.crmeth.2025.101246_bib56","doi-asserted-by":"crossref","DOI":"10.1177\/03000605221075816","article-title":"Validity of chronic restraint stress for modeling anhedonic-like behavior in rodents: a systematic review and meta-analysis","volume":"50","author":"Mao","year":"2022","journal-title":"J. Int. Med. Res."},{"key":"10.1016\/j.crmeth.2025.101246_bib57","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1523\/JNEUROSCI.1421-18.2018","article-title":"Prefrontal\u2013Bed Nucleus Circuit Modulation of a Passive Coping Response Set","volume":"39","author":"Johnson","year":"2019","journal-title":"J. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib58","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1038\/nature11617","article-title":"A prefrontal cortex\u2013brainstem neuronal projection that controls response to behavioural challenge","volume":"492","author":"Warden","year":"2012","journal-title":"Nature"},{"key":"10.1016\/j.crmeth.2025.101246_bib59","doi-asserted-by":"crossref","first-page":"230","DOI":"10.3389\/fnsys.2014.00230","article-title":"Optogenetic dissection of medial prefrontal cortex circuitry","volume":"8","author":"Riga","year":"2014","journal-title":"Front. Syst. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib60","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.bbr.2010.04.036","article-title":"Lesion of the medial prefrontal cortex and the subthalamic nucleus selectively affect depression-like behavior in rats","volume":"213","author":"Klein","year":"2010","journal-title":"Behav. Brain Res."},{"key":"10.1016\/j.crmeth.2025.101246_bib61","doi-asserted-by":"crossref","first-page":"16082","DOI":"10.1523\/JNEUROSCI.1731-10.2010","article-title":"Antidepressant Effect of Optogenetic Stimulation of the Medial Prefrontal Cortex","volume":"30","author":"Covington","year":"2010","journal-title":"J. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib62","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.ejphar.2007.12.005","article-title":"A mouse model of depression induced by repeated corticosterone injections","volume":"581","author":"Zhao","year":"2008","journal-title":"Eur. J. Pharmacol."},{"key":"10.1016\/j.crmeth.2025.101246_bib63","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/0306-4530(87)90040-0","article-title":"Feedback action and tonic influence of corticosteroids on brain function: A concept arising from the heterogeneity of brain receptor systems","volume":"12","author":"De Kloet","year":"1987","journal-title":"Psychoneuroendocrinology"},{"key":"10.1016\/j.crmeth.2025.101246_bib64","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1038\/nrn1683","article-title":"Stress and the brain: from adaptation to disease","volume":"6","author":"de Kloet","year":"2005","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.crmeth.2025.101246_bib65","doi-asserted-by":"crossref","first-page":"2754","DOI":"10.1210\/en.2014-1048","article-title":"From Receptor Balance to Rational Glucocorticoid Therapy","volume":"155","author":"de Kloet","year":"2014","journal-title":"Endocrinology"},{"key":"10.1016\/j.crmeth.2025.101246_bib66","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1007\/BF00431791","article-title":"A stimulatory effect of intraaccumbens injections of noradrenaline on the behavior of rats in the forced swim test","volume":"87","author":"A","year":"1985","journal-title":"Psychopharmacology"},{"key":"10.1016\/j.crmeth.2025.101246_bib67","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.ejphar.2007.11.062","article-title":"Convergent regulation of locus coeruleus activity as an adaptive response to stress","volume":"583","author":"Rj","year":"2008","journal-title":"Eur. J. Pharmacol."},{"key":"10.1016\/j.crmeth.2025.101246_bib68","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1038\/nature11740","article-title":"Dopamine neurons modulate neural encoding and expression of depression-related behaviour","volume":"493","author":"Tye","year":"2013","journal-title":"Nature"},{"key":"10.1016\/j.crmeth.2025.101246_bib69","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1038\/nmeth.2089","article-title":"NIH Image to ImageJ: 25 years of image analysis","volume":"9","author":"Schneider","year":"2012","journal-title":"Nat. Methods"},{"key":"10.1016\/j.crmeth.2025.101246_bib72","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","article-title":"SciPy 1.0: fundamental algorithms for scientific computing in Python","volume":"17","author":"Virtanen","year":"2020","journal-title":"Nat. Methods"},{"key":"10.1016\/j.crmeth.2025.101246_bib73","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."}],"container-title":["Cell Reports Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2667237525002826?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2667237525002826?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T11:21:37Z","timestamp":1778930497000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2667237525002826"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":71,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["S2667237525002826"],"URL":"https:\/\/doi.org\/10.1016\/j.crmeth.2025.101246","relation":{},"ISSN":["2667-2375"],"issn-type":[{"value":"2667-2375","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Computational modeling reveals cognitive processes in simple rodent depression tests","name":"articletitle","label":"Article Title"},{"value":"Cell Reports Methods","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.crmeth.2025.101246","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"101246"}}