{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T04:57:23Z","timestamp":1740113843108,"version":"3.37.3"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100007601","name":"European Union\u2019s Horizon 2020","doi-asserted-by":"publisher","award":["#713010","#640554"],"id":[{"id":"10.13039\/501100007601","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1016\/j.neunet.2018.10.005","type":"journal-article","created":{"date-parts":[[2018,10,22]],"date-time":"2018-10-22T16:02:36Z","timestamp":1540224156000},"page":"67-80","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"special_numbering":"C","title":["Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks"],"prefix":"10.1016","volume":"109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1363-7970","authenticated-orcid":false,"given":"Daniel","family":"Tanneberg","sequence":"first","affiliation":[]},{"given":"Jan","family":"Peters","sequence":"additional","affiliation":[]},{"given":"Elmar","family":"Rueckert","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.neunet.2018.10.005_b1","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/TAMD.2009.2021702","article-title":"Cognitive developmental robotics: A survey","volume":"1","author":"Asada","year":"2009","journal-title":"IEEE Transactions on Autonomous Mental Development"},{"key":"10.1016\/j.neunet.2018.10.005_b2","series-title":"Proceedings of the international conference on development and learning and epigenetic robotics, icdl-epirob-2011","first-page":"E1","article-title":"What are intrinsic motivations? a biological perspective","author":"Baldassarre","year":"2011"},{"year":"2013","key":"10.1016\/j.neunet.2018.10.005_b3","article-title":"Intrinsically motivated learning in natural and artificial systems"},{"issue":"2","key":"10.1016\/j.neunet.2018.10.005_b4","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1109\/21.148426","article-title":"Numerical potential field techniques for robot path planning","volume":"22","author":"Barraquand","year":"1992","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"issue":"4","key":"10.1016\/j.neunet.2018.10.005_b5","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1025696116075","article-title":"Recent advances in hierarchical reinforcement learning","volume":"13","author":"Barto","year":"2003","journal-title":"Discrete Event Dynamic Systems"},{"issue":"907","key":"10.1016\/j.neunet.2018.10.005_b6","first-page":"e1","article-title":"Novelty or surprise?","volume":"4","author":"Barto","year":"2013","journal-title":"Frontiers in Psychology\u00a0\u2013\u00a0Cognitive Science"},{"key":"10.1016\/j.neunet.2018.10.005_b7","unstructured":"Barto, A. G., Singh, S., & Chentanez, N. (2004). Intrinsically motivated learning of hierarchical collections of skills. In Proceedings of the 3rd international conference on development and learning. (pp. 112\u201319)."},{"issue":"10","key":"10.1016\/j.neunet.2018.10.005_b8","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.tics.2012.08.006","article-title":"Planning as inference","volume":"16","author":"Botvinick","year":"2012","journal-title":"Trends in Cognitive Sciences"},{"key":"10.1016\/j.neunet.2018.10.005_b9","unstructured":"Brea, J., Senn, W., & Pfister, J. -P. (2011). Sequence learning with hidden units in spiking neural networks. In Advances in neural information processing systems. (pp. 1422\u20131430)."},{"issue":"3","key":"10.1016\/j.neunet.2018.10.005_b10","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1109\/MCS.2006.1636313","article-title":"A survey of iterative learning control","volume":"26","author":"Bristow","year":"2006","journal-title":"IEEE Control Systems"},{"issue":"11","key":"10.1016\/j.neunet.2018.10.005_b11","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1002211","article-title":"Neural dynamics as sampling: A model for stochastic computation in recurrent networks of spiking neurons","volume":"7","author":"Buesing","year":"2011","journal-title":"PLoS Computational Biology"},{"year":"2013","series-title":"Model predictive control","author":"Camacho","key":"10.1016\/j.neunet.2018.10.005_b12"},{"key":"10.1016\/j.neunet.2018.10.005_b13","series-title":"2015 IEEE international conference on robotics and automation, ICRA","first-page":"2347","article-title":"Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments","author":"Chiang","year":"2015"},{"issue":"9","key":"10.1016\/j.neunet.2018.10.005_b14","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1016\/j.robot.2013.05.009","article-title":"A distributed and morphology-independent strategy for adaptive locomotion in self-reconfigurable modular robots","volume":"61","author":"Christensen","year":"2013","journal-title":"Robotics and Autonomous Systems"},{"issue":"7553","key":"10.1016\/j.neunet.2018.10.005_b15","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1038\/nature14422","article-title":"Robots that can adapt like animals","volume":"521","author":"Cully","year":"2015","journal-title":"Nature"},{"issue":"6","key":"10.1016\/j.neunet.2018.10.005_b16","doi-asserted-by":"crossref","first-page":"916","DOI":"10.1111\/j.1460-9568.2012.08015.x","article-title":"A goal-directed spatial navigation model using forward trajectory planning based on grid cells","volume":"35","author":"Erdem","year":"2012","journal-title":"European Journal of Neuroscience"},{"key":"10.1016\/j.neunet.2018.10.005_b17","doi-asserted-by":"crossref","DOI":"10.1038\/scientificamerican1062-93","article-title":"Cognitive dissonance","author":"Festinger","year":"1962","journal-title":"Scientific American"},{"issue":"7084","key":"10.1016\/j.neunet.2018.10.005_b18","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1038\/nature04587","article-title":"Reverse replay of behavioural sequences in hippocampal place cells during the awake state","volume":"440","author":"Foster","year":"2006","journal-title":"Nature"},{"issue":"3","key":"10.1016\/j.neunet.2018.10.005_b19","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1023\/A:1020564024509","article-title":"Dynamic motion planning for mobile robots using potential field method","volume":"13","author":"Ge","year":"2002","journal-title":"Autonomous Robots"},{"year":"2002","series-title":"Spiking neuron models: Single neurons, populations, plasticity","author":"Gerstner","key":"10.1016\/j.neunet.2018.10.005_b20"},{"issue":"2","key":"10.1016\/j.neunet.2018.10.005_b21","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/S0921-8890(02)00172-0","article-title":"Neural predictive control for a car-like mobile robot","volume":"39","author":"Gu","year":"2002","journal-title":"Robotics and Autonomous Systems"},{"issue":"3","key":"10.1016\/j.neunet.2018.10.005_b22","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1109\/TAMD.2010.2103311","article-title":"Learning generalizable control programs","volume":"3","author":"Hart","year":"2011","journal-title":"IEEE Transactions on Autonomous Mental Development"},{"key":"10.1016\/j.neunet.2018.10.005_b23","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1016\/S0925-2312(00)00245-9","article-title":"Learning predictive representations","volume":"32","author":"Herrmann","year":"2000","journal-title":"Neurocomputing"},{"issue":"02","key":"10.1016\/j.neunet.2018.10.005_b24","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1142\/S0219843608001376","article-title":"Online learning of the body schema","volume":"5","author":"Hersch","year":"2008","journal-title":"International Journal of Humanoid Robotics"},{"issue":"8","key":"10.1016\/j.neunet.2018.10.005_b25","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.1162\/089976602760128018","article-title":"Training products of experts by minimizing contrastive divergence","volume":"14","author":"Hinton","year":"2002","journal-title":"Neural computation"},{"key":"10.1016\/j.neunet.2018.10.005_b26","series-title":"Intelligent robots and systems, IROS 2014, 2014 IEEE\/RSJ international conference on","first-page":"4014","article-title":"Emergence of humanoid walking behaviors from mixed-integer model predictive control","author":"Ibanez","year":"2014"},{"issue":"03","key":"10.1016\/j.neunet.2018.10.005_b27","doi-asserted-by":"crossref","DOI":"10.1142\/S021984361250017X","article-title":"Autonomous online learning of reaching behavior in a humanoid robot","volume":"9","author":"Jamone","year":"2012","journal-title":"International Journal of Humanoid Robotics"},{"issue":"1","key":"10.1016\/j.neunet.2018.10.005_b28","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1037\/h0032356","article-title":"Motives and development","volume":"22","author":"Kagan","year":"1972","journal-title":"Journal of Personality and Social Psychology"},{"key":"10.1016\/j.neunet.2018.10.005_b29","unstructured":"Kaplan, F., & Oudeyer, P. -Y. (2003). Motivational principles for visual know-how development. In Proceedings of the third international workshop on epigenetic robotics: Modeling cognitive development in robotic systems. (pp. 73\u201380)."},{"issue":"3","key":"10.1016\/j.neunet.2018.10.005_b30","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1003511","article-title":"STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning","volume":"10","author":"Kappel","year":"2014","journal-title":"PLoS Computational Biology"},{"issue":"2","key":"10.1016\/j.neunet.2018.10.005_b31","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s10994-012-5278-7","article-title":"Optimal control as a graphical model inference problem","volume":"87","author":"Kappen","year":"2012","journal-title":"Machine Learning"},{"issue":"22","key":"10.1016\/j.neunet.2018.10.005_b32","doi-asserted-by":"crossref","first-page":"165","DOI":"10.3182\/20120905-3-HR-2030.00165","article-title":"Stabilization of the capture point dynamics for bipedal walking based on model predictive control","volume":"45","author":"Krause","year":"2012","journal-title":"IFAC Proceedings Volumes"},{"issue":"4","key":"10.1016\/j.neunet.2018.10.005_b33","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1002\/art.22460","article-title":"Arthritic pain is processed in brain areas concerned with emotions and fear","volume":"56","author":"Kulkarni","year":"2007","journal-title":"Arthritis & Rheumatology"},{"key":"10.1016\/j.neunet.2018.10.005_b34","first-page":"735","article-title":"Artificial potential field based path planning for mobile robots using a virtual obstacle concept","volume":"vol. 2","author":"Lee","year":"2003"},{"issue":"1","key":"10.1016\/j.neunet.2018.10.005_b35","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/s10865-006-9085-0","article-title":"The fear-avoidance model of musculoskeletal pain: Current state of scientific evidence","volume":"30","author":"Leeuw","year":"2007","journal-title":"Journal of Behavioral Medicine"},{"issue":"4","key":"10.1016\/j.neunet.2018.10.005_b36","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1080\/09540090310001655110","article-title":"Developmental robotics: A survey","volume":"15","author":"Lungarella","year":"2003","journal-title":"Connection Science"},{"key":"10.1016\/j.neunet.2018.10.005_b37","doi-asserted-by":"crossref","DOI":"10.3389\/fnbot.2013.00011","article-title":"Incremental learning of skill collections based on intrinsic motivation","volume":"7","author":"Metzen","year":"2013","journal-title":"Frontiers in Neurorobotics"},{"key":"10.1016\/j.neunet.2018.10.005_b38","series-title":"Intrinsically motivated learning in natural and artificial systems","first-page":"185","article-title":"Novelty detection as an intrinsic motivation for cumulative learning robots","author":"Nehmzow","year":"2013"},{"key":"10.1016\/j.neunet.2018.10.005_b39","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/bs.pbr.2016.05.005","article-title":"Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies","volume":"229","author":"Oudeyer","year":"2016","journal-title":"Progress in Brain Research"},{"key":"10.1016\/j.neunet.2018.10.005_b40","doi-asserted-by":"crossref","DOI":"10.3389\/neuro.12.006.2007","article-title":"What is intrinsic motivation? a typology of computational approaches","volume":"1","author":"Oudeyer","year":"2007","journal-title":"Frontiers in Neurorobotics"},{"issue":"2","key":"10.1016\/j.neunet.2018.10.005_b41","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1109\/TEVC.2006.890271","article-title":"Intrinsic motivation systems for autonomous mental development","volume":"11","author":"Oudeyer","year":"2007","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"7447","key":"10.1016\/j.neunet.2018.10.005_b42","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1038\/nature12112","article-title":"Hippocampal place cell sequences depict future paths to remembered goals","volume":"497","author":"Pfeiffer","year":"2013","journal-title":"Nature"},{"key":"10.1016\/j.neunet.2018.10.005_b43","series-title":"Humanoid robots (humanoids), 2011 11th IEEE-RAS international conference on","first-page":"564","article-title":"Neural learning and dynamical selection of redundant solutions for inverse kinematic control","author":"Reinhart","year":"2011"},{"issue":"1","key":"10.1016\/j.neunet.2018.10.005_b44","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1023\/A:1007331723572","article-title":"Child: A first step towards continual learning","volume":"28","author":"Ring","year":"1997","journal-title":"Machine Learning"},{"issue":"3","key":"10.1016\/j.neunet.2018.10.005_b45","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1109\/TAMD.2010.2062511","article-title":"Goal babbling permits direct learning of inverse kinematics","volume":"2","author":"Rolf","year":"2010","journal-title":"IEEE Transactions on Autonomous Mental Development"},{"key":"10.1016\/j.neunet.2018.10.005_b46","doi-asserted-by":"crossref","DOI":"10.1038\/srep21142","article-title":"Recurrent spiking networks solve planning tasks","volume":"6","author":"Rueckert","year":"2016","journal-title":"Scientific Reports"},{"issue":"97","key":"10.1016\/j.neunet.2018.10.005_b47","article-title":"Learned graphical models for probabilistic planning provide a new class of movement primitives","volume":"6","author":"Rueckert","year":"2012","journal-title":"Frontiers in Computational Neuroscience"},{"key":"10.1016\/j.neunet.2018.10.005_b48","unstructured":"Ruvolo, P., & Eaton, E. (2013). Ella: An efficient lifelong learning algorithm. In International conference on machine learning. (pp. 507\u2013515)."},{"issue":"1","key":"10.1016\/j.neunet.2018.10.005_b49","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1006\/ceps.1999.1020","article-title":"Intrinsic and extrinsic motivations: Classic definitions and new directions","volume":"25","author":"Ryan","year":"2000","journal-title":"Contemporary Educational Psychology"},{"issue":"1","key":"10.1016\/j.neunet.2018.10.005_b50","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1037\/0003-066X.55.1.68","article-title":"Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.","volume":"55","author":"Ryan","year":"2000","journal-title":"American Psychologist"},{"key":"10.1016\/j.neunet.2018.10.005_b51","unstructured":"Santucci, V. G., Baldassarre, G., & Mirolli, M. (2013). Intrinsic motivation signals for driving the acquisition of multiple tasks: A simulated robotic study. In Proceedings of the 12th international conference on cognitive modelling, ICCM. (pp. 1\u20136)."},{"issue":"3","key":"10.1016\/j.neunet.2018.10.005_b52","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1109\/TCDS.2016.2538961","article-title":"Grail: A goal-discovering robotic architecture for intrinsically-motivated learning","volume":"8","author":"Santucci","year":"2016","journal-title":"IEEE Transactions on Cognitive and Developmental Systems"},{"issue":"2","key":"10.1016\/j.neunet.2018.10.005_b53","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1080\/09540090600768658","article-title":"Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts","volume":"18","author":"Schmidhuber","year":"2006","journal-title":"Connection Science"},{"issue":"3","key":"10.1016\/j.neunet.2018.10.005_b54","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1109\/TAMD.2010.2056368","article-title":"Formal theory of creativity, fun, and intrinsic motivation (1990\u20132010)","volume":"2","author":"Schmidhuber","year":"2010","journal-title":"IEEE Transactions on Autonomous Mental Development"},{"key":"10.1016\/j.neunet.2018.10.005_b55","unstructured":"Stachenfeld, K. L., Botvinick, M., & Gershman, S. J. (2014). Design principles of the hippocampal cognitive map. In Advances in neural information processing systems. (pp. 2528\u20132536)."},{"key":"10.1016\/j.neunet.2018.10.005_b56","series-title":"Development and learning, icdl, 2010 IEEE 9th international conference on","first-page":"257","article-title":"Competence progress intrinsic motivation","author":"Stout","year":"2010"},{"key":"10.1016\/j.neunet.2018.10.005_b57","doi-asserted-by":"crossref","DOI":"10.21236\/ADA440079","article-title":"Intrinsically motivated reinforcement learning: A promising framework for developmental robot learning","author":"Stout","year":"2005"},{"issue":"2","key":"10.1016\/j.neunet.2018.10.005_b58","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1080\/net.13.2.217.242","article-title":"Self-organizing continuous attractor networks and path integration: One-dimensional models of head direction cells","volume":"13","author":"Stringer","year":"2002","journal-title":"Network. Computation in Neural Systems"},{"year":"1998","series-title":"Reinforcement learning: An introduction","author":"Sutton","key":"10.1016\/j.neunet.2018.10.005_b59"},{"issue":"1\u20132","key":"10.1016\/j.neunet.2018.10.005_b60","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/S0004-3702(99)00052-1","article-title":"Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning","volume":"112","author":"Sutton","year":"1999","journal-title":"Artificial Intelligence"},{"key":"10.1016\/j.neunet.2018.10.005_b61","doi-asserted-by":"crossref","unstructured":"Tanneberg, D., Paraschos, A., Peters, J., & Rueckert, E. (2016). Deep spiking networks for model-based planning in humanoids. In IEEE-RAS 16th international conference on humanoid robots (humanoids).","DOI":"10.1109\/HUMANOIDS.2016.7803344"},{"key":"10.1016\/j.neunet.2018.10.005_b62","doi-asserted-by":"crossref","unstructured":"Tanneberg, D., Peters, J., & Rueckert, E. (2017a). Efficient online adaptation with stochastic recurrent neural networks. In IEEE-RAS 17th international conference on humanoid robots (humanoids).","DOI":"10.1109\/HUMANOIDS.2017.8246875"},{"key":"10.1016\/j.neunet.2018.10.005_b63","doi-asserted-by":"crossref","unstructured":"Tanneberg, D., Peters, J., & Rueckert, E. (2017b). Online learning with stochastic recurrent neural networks using intrinsic motivation signals. In Conference on robot learning.","DOI":"10.1109\/HUMANOIDS.2017.8246875"},{"issue":"7","key":"10.1016\/j.neunet.2018.10.005_b64","doi-asserted-by":"crossref","first-page":"1195","DOI":"10.1016\/j.automatica.2004.01.026","article-title":"Adaptive iterative learning control for robot manipulators","volume":"40","author":"Tayebi","year":"2004","journal-title":"Automatica"},{"issue":"1\u20132","key":"10.1016\/j.neunet.2018.10.005_b65","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/0921-8890(95)00004-Y","article-title":"Lifelong robot learning","volume":"15","author":"Thrun","year":"1995","journal-title":"Robotics and Autonomous Systems"},{"issue":"10","key":"10.1016\/j.neunet.2018.10.005_b66","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1109\/TNNLS.2012.2208655","article-title":"Feedback control by online learning an inverse model","volume":"23","author":"Waegeman","year":"2012","journal-title":"IEEE transactions on neural networks and learning systems"},{"issue":"02","key":"10.1016\/j.neunet.2018.10.005_b67","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1142\/S0219843604000149","article-title":"Developmental robotics: Theory and experiments","volume":"1","author":"Weng","year":"2004","journal-title":"International Journal of Humanoid Robotics"},{"issue":"5504","key":"10.1016\/j.neunet.2018.10.005_b68","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1126\/science.291.5504.599","article-title":"Autonomous mental development by robots and animals","volume":"291","author":"Weng","year":"2001","journal-title":"Science"},{"issue":"5","key":"10.1016\/j.neunet.2018.10.005_b69","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1037\/h0040934","article-title":"Motivation reconsidered: The concept of competence","volume":"66","author":"White","year":"1959","journal-title":"Psychological Review"},{"key":"10.1016\/j.neunet.2018.10.005_b70","series-title":"Humanoid robots (humanoids), 2011 11th IEEE-ras international conference on","first-page":"1","article-title":"Online learning of a full body push recovery controller for omnidirectional walking","author":"Yi","year":"2011"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608018302909?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608018302909?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2022,9,4]],"date-time":"2022-09-04T12:42:14Z","timestamp":1662295334000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608018302909"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":70,"alternative-id":["S0893608018302909"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2018.10.005","relation":{},"ISSN":["0893-6080"],"issn-type":[{"type":"print","value":"0893-6080"}],"subject":[],"published":{"date-parts":[[2019,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2018.10.005","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}