{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:28:01Z","timestamp":1730266081608,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191484","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["A Spiking Neural Network Learning Markov Chain"],"prefix":"10.1109","author":[{"given":"Mikhail","family":"Kiselev","sequence":"first","affiliation":[{"name":"Kaspersky,Technology Research Department,Moscow,Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Ivanitsky","sequence":"additional","affiliation":[{"name":"Chuvash State University,Department of Physics, Applied Mathematics &#x0026;IT,Cheboxary,Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrey","family":"Lavrentyev","sequence":"additional","affiliation":[{"name":"Kaspersky,Technology Research Department,Moscow,Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1523\/JNEUROSCI.2854-15.2016"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1038\/srep21142"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1007\/s11265-016-1153-2"},{"key":"ref14","first-page":"353","article-title":"Bayesian inference in spiking neurons","volume":"17","author":"deneve","year":"2005","journal-title":"Advances in neural information processing systems"},{"year":"2017","author":"shein","journal-title":"A spiking neural network of state transition probabilities in model-based reinforcement learning","key":"ref11"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1371\/journal.pcbi.1007579"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1002\/9781119387596"},{"year":"2014","author":"sutton","journal-title":"Reinforcement Learning An Introduction","key":"ref1"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.3389\/fncom.2020.00051"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neunet.2020.03.003","article-title":"Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation","volume":"126","author":"zheng","year":"2020","journal-title":"Neural Networks"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1162\/neco.2009.11-08-901"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1609\/aaai.v34i02.5487"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1109\/IJCNN.2016.7727355"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1371\/journal.pcbi.1004984"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/IJCNN.2019.8851848"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/IJCNN.2017.7966336"},{"key":"ref20","article-title":"Sequence learning with hidden units in spiking neural networks","author":"brea","year":"2011","journal-title":"Proceedings of NIPS-2011"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1126\/science.1254642"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/CVPRW.2018.00293"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1371\/journal.pone.0115620"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/IJCNN.2012.6252834"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1371\/journal.pone.0180234"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1162\/neco.2007.19.6.1468"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/MM.2018.112130359","article-title":"Loihi: A Neuromorphic Manycore Processor with On-Chip Learning","volume":"38","author":"davies","year":"2018","journal-title":"IEEE Micro"},{"key":"ref6","article-title":"Closing the loop between neural network simulators and the OpenAI Gym","author":"jordan","year":"2017","journal-title":"ArXiv Preprint"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.3389\/fncom.2021.543872"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191484.pdf?arnumber=10191484","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:42:43Z","timestamp":1692639763000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191484\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191484","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}