{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:30:17Z","timestamp":1786494617253,"version":"build-2736575974"},"reference-count":71,"publisher":"The Royal Society","issue":"2076","license":[{"start":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:00:00Z","timestamp":1786492800000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:00:00Z","timestamp":1786492800000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Short-term motor adaptation is a form of motor learning that optimizes how sensory information about a target\u2019s location is translated into a target-directed movement, using sensory feedback on performance errors. When actual and predicted sensory feedback differ, sensory prediction errors (SPEs) are generated, enabling the cerebellum to adjust this mapping. In contrast, reinforcement learning uses reward prediction error (RPEs) based on fulfilled or unfulfilled reward expectations to shape future actions. As RPE-related information also reaches the cerebellum, we wondered whether it interacts with SPEs to shape short-term motor adaptation. We addressed this in monkeys by inducing visual errors via inward and outward intra-saccadic target steps, generating corresponding SPEs and quantifying adaptation as changes in saccade amplitude across same-direction trials before and after SPEs. In two separate studies, we manipulated information about trial outcomes (reward versus no reward) to examine its interaction with SPEs in saccadic adaptation. In both, we found that RPEs modulate single-trial saccadic adaptation. Sensory errors determined the direction of adaptation, whereas reward-related signals scaled its magnitude, revealing an interaction between SPEs and RPEs in trial-by-trial motor learning and underscoring the behavioural relevance of their co-representation in shared cerebellar afferents.<\/jats:p>","DOI":"10.1098\/rspb.2026.0492","type":"journal-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:12:23Z","timestamp":1786493543000},"source":"Crossref","is-referenced-by-count":0,"title":["Reward prediction errors shape sensory-error-driven single-trial motor learning"],"prefix":"10.1098","volume":"293","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5707-2959","authenticated-orcid":false,"given":"Masih","family":"Shafiei","sequence":"first","affiliation":[{"name":"Eberhard Karls University of T\u00fcbingen, 1","place":["72076 T\u00fcbingen,, Germany"],"department":["Cognitive Neurology Lab, Hertie Institute for Clinical Brain Research,"]},{"name":"Eberhard Karls University of T\u00fcbingen, 2","place":["72076 T\u00fcbingen,, Germany"],"department":["Graduate Training Centre of Neuroscience, International Max Planck Research School,"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Reik","sequence":"additional","affiliation":[{"name":"Eberhard Karls University of T\u00fcbingen, 1","place":["72076 T\u00fcbingen,, Germany"],"department":["Cognitive Neurology Lab, Hertie Institute for Clinical Brain Research,"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5909-4222","authenticated-orcid":false,"given":"Peter","family":"Thier","sequence":"additional","affiliation":[{"name":"Eberhard Karls University of T\u00fcbingen, 1","place":["72076 T\u00fcbingen,, Germany"],"department":["Cognitive Neurology Lab, Hertie Institute for Clinical Brain Research,"]},{"name":"Eberhard Karls University of T\u00fcbingen, 3","place":["72076 T\u00fcbingen,, Germany"],"department":["Werner Reichardt Centre for Integrative Neuroscience,"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"175","published-online":{"date-parts":[[2026,8,12]]},"reference":[{"key":"2026081120121494500_R1","doi-asserted-by":"crossref","first-page":"359","DOI":"10.3758\/BF03210071","article-title":"Parametric adjustment in saccadic eye movements","volume":"2","author":"McLaughlin","year":"1967","journal-title":"Percept. Psychophys."},{"key":"2026081120121494500_R2","doi-asserted-by":"crossref","first-page":"2405","DOI":"10.1152\/jn.1998.80.5.2405","article-title":"Saccadic gain modification: visual error drives motor adaptation","volume":"80","author":"Wallman","year":"1998","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R3","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.2004344","article-title":"Learning from the past: a reverberation of past errors in the cerebellar climbing fiber signal","volume":"16","author":"Junker","year":"2018","journal-title":"PLoS Biol."},{"key":"2026081120121494500_R4","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1002\/j.2040-4603.2019.tb00069.x","article-title":"Motor learning","volume":"9","author":"Krakauer","year":"2019","journal-title":"Compr. Physiol."},{"key":"2026081120121494500_R5","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1113\/jphysiol.1969.sp008820","article-title":"A theory of cerebellar cortex","volume":"202","author":"Marr","year":"1969","journal-title":"J. Physiol. (Lond.)"},{"key":"2026081120121494500_R6","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/0025-5564(71)90051-4","article-title":"A theory of cerebellar function","volume":"10","author":"Albus","year":"1971","journal-title":"Math. Biosci."},{"key":"2026081120121494500_R7","doi-asserted-by":"crossref","first-page":"15647","DOI":"10.1073\/pnas.1014269108","article-title":"Understanding dopamine and reinforcement learning: the dopamine reward prediction error hypothesis","volume":"108","author":"Glimcher","year":"2011","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"2026081120121494500_R8","volume-title":"Vision: a computational investigation into the human representation and processing of visual information","author":"Marr","year":"1982"},{"key":"2026081120121494500_R9","doi-asserted-by":"crossref","first-page":"1570","DOI":"10.1093\/brain\/awf168","article-title":"Adaptive modification of saccade amplitude in Parkinson\u2019s disease","volume":"125","author":"MacAskill","year":"2002","journal-title":"Brain"},{"key":"2026081120121494500_R10","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.jfo.2011.05.009","article-title":"M\u00e9canismes de plasticit\u00e9 saccadique chez les patients atteints de maladie de Parkinson [Saccadic system plasticity mechanisms in Parkinson disease patients]","volume":"35","author":"Abouaf","year":"2012","journal-title":"J. Fr. Ophtalmol."},{"key":"2026081120121494500_R11","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.neuroscience.2017.04.048","article-title":"Selective reward affects the rate of saccade adaptation","volume":"355","author":"Kojima","year":"2017","journal-title":"Neuroscience"},{"key":"2026081120121494500_R12","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1002012","article-title":"Learning from sensory and reward prediction errors during motor adaptation","volume":"7","author":"Izawa","year":"2011","journal-title":"PLoS Comput. Biol."},{"key":"2026081120121494500_R13","doi-asserted-by":"crossref","first-page":"2114","DOI":"10.1111\/j.1460-9568.2011.07693.x","article-title":"The role of the cerebellum in saccadic adaptation as a window into neural mechanisms of motor learning","volume":"33","author":"Prsa","year":"2011","journal-title":"Eur. J. Neurosci."},{"key":"2026081120121494500_R14","doi-asserted-by":"crossref","first-page":"163","DOI":"10.3109\/01658109609009677","article-title":"A search coil system with automatic field stabilization, calibration, and geometric processing for eye movement recording in humans","volume":"16","author":"Bechert","year":"1996","journal-title":"Neuro-Ophthalmology"},{"key":"2026081120121494500_R15","unstructured":"MathWorks\n          . 2021MATLAB (R2021a). Natick, MA: MathWorks. Seehttps:\/\/www.mathworks.com\/products\/new_products\/release2021a.html."},{"key":"2026081120121494500_R16","doi-asserted-by":"crossref","first-page":"188","DOI":"10.3758\/BRM.42.1.188","article-title":"An adaptive algorithm for fixation, saccade, and glissade detection in eyetracking data","volume":"42","author":"Nystr\u00f6m","year":"2010","journal-title":"Behav. Res. Methods"},{"key":"2026081120121494500_R17","volume-title":"R: a language and environment for statistical computing","author":"R Core Team","year":"2021"},{"key":"2026081120121494500_R18","article-title":"RPE_SPE_MotorLearning Open Science Framework","author":"Shafiei","year":"2025"},{"key":"2026081120121494500_R19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v067.i01","article-title":"Fitting linear mixed-effects models using lme4","volume":"67","author":"Bates","year":"2015","journal-title":"J. Stat. Softw."},{"key":"2026081120121494500_R20","doi-asserted-by":"crossref","first-page":"378","DOI":"10.32614\/RJ-2017-066","article-title":"glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling","volume":"9","author":"Brooks","year":"2017","journal-title":"R J."},{"key":"2026081120121494500_R21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v112.i01","article-title":"Parsimoniously fitting large multivariate random effects in glmmTMB","volume":"112","author":"McGillycuddy","year":"2025","journal-title":"J. Stat. Softw."},{"key":"2026081120121494500_R22","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-24277-4","volume-title":"ggplot2: Elegant graphics for data analysis","author":"Wickham","year":"2016"},{"key":"2026081120121494500_R23","volume-title":"An R companion to applied regression","author":"Fox","year":"2019","edition":"3rd"},{"key":"2026081120121494500_R24","unstructured":"Lenth\n              RV\n            \n          . 2025emmeans: Estimated marginal means, aka least-squares means.Vienna, Austria: Comprehensive R Archive Network (CRAN). Seehttps:\/\/CRAN.R-project.org\/package=emmeans."},{"key":"2026081120121494500_R25","doi-asserted-by":"crossref","first-page":"2815","DOI":"10.21105\/joss.02815","article-title":"effectsize: Estimation of effect size indices and standardized parameters","volume":"5","author":"Ben-Shachar","year":"2020","journal-title":"J. Open Source Softw."},{"key":"2026081120121494500_R26","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/B978-0-12-386983-8.00003-2","volume-title":"Introduction to robust estimation and hypothesis testing","author":"Wilcox","year":"2012","edition":"3rd"},{"key":"2026081120121494500_R27","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1080\/00031305.1978.10479236","article-title":"Variations of box plots","volume":"32","author":"McGill","year":"1978","journal-title":"Am. Stat."},{"key":"2026081120121494500_R28","doi-asserted-by":"crossref","first-page":"1593","DOI":"10.1126\/science.275.5306.1593","article-title":"A neural substrate of prediction and reward","volume":"275","author":"Schultz","year":"1997","journal-title":"Science"},{"key":"2026081120121494500_R29","volume-title":"Reinforcement learning: an introduction","author":"Sutton","year":"2018","edition":"2nd edn"},{"key":"2026081120121494500_R30","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1167\/5.8.696","article-title":"Attention modulates saccade latency but not kinematics","volume":"5","author":"Khan","year":"2005","journal-title":"J. Vis."},{"key":"2026081120121494500_R31","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2316658121","article-title":"A dopamine mechanism for reward maximization","volume":"121","author":"Schultz","year":"2024","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"2026081120121494500_R32","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1152\/jn.00032.2014","article-title":"Reward feedback accelerates motor learning","volume":"113","author":"Nikooyan","year":"2015","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R33","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.39882","article-title":"The influence of task outcome on implicit motor learning","volume":"8","author":"Kim","year":"2019","journal-title":"eLife"},{"key":"2026081120121494500_R34","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1152\/jn.00061.2023","article-title":"Exploring the role of task success in implicit motor adaptation","volume":"130","author":"Al-Fawakhiri","year":"2023","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R35","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.3002703","article-title":"Limb-related sensory prediction errors and task-related performance errors facilitate human sensorimotor learning through separate mechanisms","volume":"22","author":"Oza","year":"2024","journal-title":"PLoS Biol."},{"key":"2026081120121494500_R36","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2024.1381935","article-title":"The effect of reward on motor learning: different stage, different effect","volume":"18","author":"Zhao","year":"2024","journal-title":"Front. Hum. Neurosci."},{"key":"2026081120121494500_R37","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1086\/503550","article-title":"How basic are behavioral biases? Evidence from capuchin monkey trading behavior","volume":"114","author":"Chen","year":"2006","journal-title":"J Polit. Econ."},{"key":"2026081120121494500_R38","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1038\/1625","article-title":"Expectation of reward modulates cognitive signals in the basal ganglia","volume":"1","author":"Kawagoe","year":"1998","journal-title":"Nat. Neurosci."},{"key":"2026081120121494500_R39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1152\/jn.1998.80.1.1","article-title":"Predictive reward signal of dopamine neurons","volume":"80","author":"Schultz","year":"1998","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R40","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1146\/annurev.psych.56.091103.070229","article-title":"Behavioral theories and the neurophysiology of reward","volume":"57","author":"Schultz","year":"2006","journal-title":"Annu. Rev. Psychol."},{"key":"2026081120121494500_R41","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1038\/nn.4173","article-title":"Mesolimbic dopamine signals the value of work","volume":"19","author":"Hamid","year":"2016","journal-title":"Nat. Neurosci."},{"key":"2026081120121494500_R42","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1038\/nn.4187","article-title":"Action initiation shapes mesolimbic dopamine encoding of future rewards","volume":"19","author":"Syed","year":"2016","journal-title":"Nat. Neurosci."},{"key":"2026081120121494500_R43","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1038\/nature25457","article-title":"Dopamine neuron activity before action initiation gates and invigorates future movements","volume":"554","author":"da Silva","year":"2018","journal-title":"Nature"},{"key":"2026081120121494500_R44","doi-asserted-by":"crossref","first-page":"1898","DOI":"10.1126\/science.1077349","article-title":"Discrete coding of reward probability and uncertainty by dopamine neurons","volume":"299","author":"Fiorillo","year":"2003","journal-title":"Science"},{"key":"2026081120121494500_R45","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.18044","article-title":"Dopamine neurons learn relative chosen value from probabilistic rewards","volume":"5","author":"Lak","year":"2016","journal-title":"eLife"},{"key":"2026081120121494500_R46","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1136\/jnnp.58.1.91","article-title":"Horizontal eye movement disorders after posterior vermis infarctions","volume":"58","author":"Vahedi","year":"1995","journal-title":"J. Neurol. Neurosurg. Psychiatr."},{"key":"2026081120121494500_R47","doi-asserted-by":"crossref","first-page":"10931","DOI":"10.1523\/JNEUROSCI.19-24-10931.1999","article-title":"Saccadic dysmetria and adaptation after lesions of the cerebellar cortex","volume":"19","author":"Barash","year":"1999","journal-title":"J. Neurosci."},{"key":"2026081120121494500_R48","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1152\/jn.00266.2007","article-title":"Sensory prediction errors drive cerebellum-dependent adaptation of reaching","volume":"98","author":"Tseng","year":"2007","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R49","doi-asserted-by":"crossref","first-page":"934","DOI":"10.1152\/jn.90440.2008","article-title":"Role of primate cerebellar hemisphere in voluntary eye movement control revealed by lesion effects","volume":"101","author":"Ohki","year":"2009","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R50","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1152\/jn.91069.2008","article-title":"Adaptation to visuomotor rotation and force field perturbation is correlated to different brain areas in patients with cerebellar degeneration","volume":"101","author":"Rabe","year":"2009","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R51","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1146\/annurev-vision-091718-015000","article-title":"Role of the vermal cerebellum in visually guided eye movements and visual motion perception","volume":"5","author":"Thier","year":"2019","journal-title":"Annu. Rev. Vis. Sci."},{"key":"2026081120121494500_R52","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.3001400","article-title":"Cerebellar complex spikes multiplex complementary behavioral information","volume":"19","author":"Markanday","year":"2021","journal-title":"PLoS Biol."},{"key":"2026081120121494500_R53","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1007\/s12264-022-00857-2","article-title":"Differential kinematic encoding of saccades and smooth-pursuit eye movements by fastigial neurons","volume":"38","author":"Sun","year":"2022","journal-title":"Neurosci. Bull."},{"key":"2026081120121494500_R54","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-023-37981-0","article-title":"Multidimensional cerebellar computations for flexible kinematic control of movements","volume":"14","author":"Markanday","year":"2023","journal-title":"Nat. Commun."},{"key":"2026081120121494500_R55","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1038\/nn.4167","article-title":"Climbing fibers encode a temporal-difference prediction error during cerebellar learning in mice","volume":"18","author":"Ohmae","year":"2015","journal-title":"Nat. Neurosci."},{"key":"2026081120121494500_R56","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1016\/j.celrep.2015.10.057","article-title":"Evolving models of Pavlovian conditioning: cerebellar cortical dynamics in awake behaving mice","volume":"13","author":"ten Brinke","year":"2015","journal-title":"Cell Rep."},{"key":"2026081120121494500_R57","doi-asserted-by":"crossref","first-page":"1431","DOI":"10.1038\/s41593-018-0228-8","article-title":"Coordinated cerebellar climbing fiber activity signals learned sensorimotor predictions","volume":"21","author":"Heffley","year":"2018","journal-title":"Nat. Neurosci."},{"key":"2026081120121494500_R58","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.46764","article-title":"Classical conditioning drives learned reward prediction signals in climbing fibers across the lateral cerebellum","volume":"8","author":"Heffley","year":"2019","journal-title":"eLife"},{"key":"2026081120121494500_R59","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1038\/s41593-019-0381-8","article-title":"Predictive and reactive reward signals conveyed by climbing fiber inputs to cerebellar Purkinje cells","volume":"22","author":"Kostadinov","year":"2019","journal-title":"Nat. Neurosci."},{"key":"2026081120121494500_R60","article-title":"Energy efficient synaptic plasticity","volume":"9","author":"Li","year":"2020","journal-title":"eLife"},{"key":"2026081120121494500_R61","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1012553","article-title":"Competitive plasticity to reduce the energetic costs of learning","volume":"20","author":"van Rossum","year":"2024","journal-title":"PLoS Comput. Biol."},{"key":"2026081120121494500_R62","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.46870","article-title":"Cerebellar climbing fibers encode expected reward size","volume":"8","author":"Larry","year":"2019","journal-title":"eLife"},{"key":"2026081120121494500_R63","doi-asserted-by":"crossref","first-page":"15213","DOI":"10.1523\/JNEUROSCI.4296-09.2009","article-title":"Subthreshold activation of the superior colliculus drives saccade motor learning","volume":"29","author":"Soetedjo","year":"2009","journal-title":"J. Neurosci."},{"key":"2026081120121494500_R64","doi-asserted-by":"crossref","first-page":"2153","DOI":"10.1152\/jn.00781.2018","article-title":"How cerebellar motor learning keeps saccades accurate","volume":"121","author":"Soetedjo","year":"2019","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R65","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1152\/jn.00075.2018","article-title":"Signals driving the adaptation of saccades that require spatial updating","volume":"120","author":"Soetedjo","year":"2018","journal-title":"J. Neurophysiol."},{"key":"2026081120121494500_R66","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1002\/cne.901730311","article-title":"Descending pathways from the superior colliculus: an autoradiographic analysis in the rhesus monkey (Macaca mulatta)","volume":"173","author":"Harting","year":"1977","journal-title":"J. Comp. Neurol."},{"key":"2026081120121494500_R67","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1007\/978-1-4899-5376-6_18","volume-title":"Comparative neurology of the optic tectum","author":"Huerta","year":"1984"},{"key":"2026081120121494500_R68","doi-asserted-by":"crossref","first-page":"5266","DOI":"10.1523\/JNEUROSCI.0661-09.2009","article-title":"Learning signals from the superior colliculus for adaptation of saccadic eye movements in the monkey","volume":"29","author":"Kaku","year":"2009","journal-title":"J. Neurosci."},{"key":"2026081120121494500_R69","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1113\/jphysiol.1968.sp008615","article-title":"Responses evoked in the cerebellar cortex by stimulation of the caudate nucleus in the cat","volume":"198","author":"Fox","year":"1968","journal-title":"J. Physiol. (Lond.)"},{"key":"2026081120121494500_R70","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/0006-8993(70)90164-2","article-title":"The caudate nucleus-cerebellar pathways: an electrophysiological study of their route through the midbrain","volume":"20","author":"Fox","year":"1970","journal-title":"Brain Res."},{"key":"2026081120121494500_R71","article-title":"Supplementary material from: Reward prediction errors shape sensory error driven single-trial motor learning. Figshare.","author":"Shafiei","year":"2026"}],"container-title":["Proceedings of the Royal Society B: Biological Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/royalsocietypublishing.org\/rspb\/article-pdf\/doi\/10.1098\/rspb.2026.0492\/6157188\/rspb.2026.0492.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/royalsocietypublishing.org\/rspb\/article-pdf\/doi\/10.1098\/rspb.2026.0492\/6157188\/rspb.2026.0492.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:12:35Z","timestamp":1786493555000},"score":1,"resource":{"primary":{"URL":"https:\/\/royalsocietypublishing.org\/rspb\/article\/293\/2076\/20260492\/482748\/Reward-prediction-errors-shape-sensory-error"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,5]]},"references-count":71,"journal-issue":{"issue":"2076","published-print":{"date-parts":[[2026,8,5]]}},"URL":"https:\/\/doi.org\/10.1098\/rspb.2026.0492","relation":{},"ISSN":["1471-2954"],"issn-type":[{"value":"1471-2954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,5]]},"article-number":"20260492"}}