{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:43:40Z","timestamp":1743122620194,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031451690"},{"type":"electronic","value":"9783031451706"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-45170-6_13","type":"book-chapter","created":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T13:03:02Z","timestamp":1699966982000},"page":"117-127","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus"],"prefix":"10.1007","author":[{"given":"Tamizharasan","family":"Kanagamani","sequence":"first","affiliation":[]},{"given":"Madhuvanthi","family":"Muliya","sequence":"additional","affiliation":[]},{"given":"V. Srinivasa","family":"Chakravarthy","sequence":"additional","affiliation":[]},{"given":"Balaraman","family":"Ravindran","sequence":"additional","affiliation":[]},{"given":"Ramshekhar N.","family":"Menon","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,4]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1038\/NN.2732","volume":"14","author":"MF Carr","year":"2011","unstructured":"Carr, M.F., Jadhav, S.P., Frank, L.M.: Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval. Nat. Neurosci. 14, 147\u2013153 (2011). https:\/\/doi.org\/10.1038\/NN.2732","journal-title":"Nat. Neurosci."},{"key":"13_CR2","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/J.CONB.2011.12.005","volume":"22","author":"DJ Foster","year":"2012","unstructured":"Foster, D.J., Knierim, J.J.: Sequence learning and the role of the hippocampus in rodent navigation. Curr. Opin. Neurobiol. 22, 294\u2013300 (2012). https:\/\/doi.org\/10.1016\/J.CONB.2011.12.005","journal-title":"Curr. Opin. Neurobiol."},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1038\/NATURE12112","volume":"497","author":"BE Pfeiffer","year":"2013","unstructured":"Pfeiffer, B.E., Foster, D.J.: Hippocampal place-cell sequences depict future paths to remembered goals. Nature 497, 74\u201379 (2013). https:\/\/doi.org\/10.1038\/NATURE12112","journal-title":"Nature"},{"key":"13_CR4","doi-asserted-by":"publisher","first-page":"680","DOI":"10.1038\/NATURE04587","volume":"440","author":"DJ Foster","year":"2006","unstructured":"Foster, D.J., Wilson, M.A.: Reverse replay of behavioural sequences in hippocampal place cells during the awake state. Nature 440, 680\u2013683 (2006). https:\/\/doi.org\/10.1038\/NATURE04587","journal-title":"Nature"},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1126\/SCIENCE.8036517","volume":"265","author":"MA Wilson","year":"1994","unstructured":"Wilson, M.A., McNaughton, B.L.: Reactivation of hippocampal ensemble memories during sleep. Science 265, 676\u2013679 (1994). https:\/\/doi.org\/10.1126\/SCIENCE.8036517","journal-title":"Science"},{"key":"13_CR6","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1002\/HIPO.22488","volume":"25","author":"G Buzs\u00e1ki","year":"2015","unstructured":"Buzs\u00e1ki, G.: Hippocampal sharp wave-ripple: a cognitive biomarker for episodic memory and planning. Hippocampus 25, 1073\u20131188 (2015). https:\/\/doi.org\/10.1002\/HIPO.22488","journal-title":"Hippocampus"},{"key":"13_CR7","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1002\/(SICI)1098-1063(1996)6:6<579::AID-HIPO3>3.0.CO;2-C","volume":"6","author":"WB Levy","year":"1996","unstructured":"Levy, W.B.: A sequence predicting CA3 is a flexible associator that learns and uses context to solve hippocampal-like tasks. Hippocampus 6, 570\u2013590 (1996)","journal-title":"Hippocampus"},{"key":"13_CR8","doi-asserted-by":"publisher","first-page":"7463","DOI":"10.1523\/JNEUROSCI.20-19-07463.2000","volume":"20","author":"S Kali","year":"2000","unstructured":"Kali, S., Dayan, P.: The involvement of recurrent connections in area CA3 in establishing the properties of place fields: a model. J. Neurosci. 20, 7463\u20137477 (2000). https:\/\/doi.org\/10.1523\/JNEUROSCI.20-19-07463.2000","journal-title":"J. Neurosci."},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1038\/S41593-018-0321-Z","volume":"22","author":"H Davoudi","year":"2019","unstructured":"Davoudi, H., Foster, D.J.: Acute silencing of hippocampal CA3 reveals a dominant role in place field responses. Nat. Neurosci. 22, 337\u2013342 (2019). https:\/\/doi.org\/10.1038\/S41593-018-0321-Z","journal-title":"Nat. Neurosci."},{"key":"13_CR10","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1038\/S41562-018-0491-4","volume":"3","author":"S Michelmann","year":"2019","unstructured":"Michelmann, S., Staresina, B.P., Bowman, H., Hanslmayr, S.: Speed of time-compressed forward replay flexibly changes in human episodic memory. Nat. Hum. Behav. 3, 143\u2013154 (2019). https:\/\/doi.org\/10.1038\/S41562-018-0491-4","journal-title":"Nat. Hum. Behav."},{"key":"13_CR11","doi-asserted-by":"publisher","first-page":"1241","DOI":"10.1038\/NN1961","volume":"10","author":"K Diba","year":"2007","unstructured":"Diba, K., Buzs\u00e1ki, G.: Forward and reverse hippocampal place-cell sequences during ripples. Nat. Neurosci. 10, 1241\u20131242 (2007). https:\/\/doi.org\/10.1038\/NN1961","journal-title":"Nat. Neurosci."},{"key":"13_CR12","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.1016\/J.NEURON.2016.07.047","volume":"91","author":"RE Ambrose","year":"2016","unstructured":"Ambrose, R.E., Pfeiffer, B.E., Foster, D.J.: Reverse replay of hippocampal place cells is uniquely modulated by changing reward. Neuron 91, 1124\u20131136 (2016). https:\/\/doi.org\/10.1016\/J.NEURON.2016.07.047","journal-title":"Neuron"},{"key":"13_CR13","doi-asserted-by":"publisher","first-page":"910","DOI":"10.1016\/J.NEURON.2009.11.016","volume":"64","author":"AC Singer","year":"2009","unstructured":"Singer, A.C., Frank, L.M.: Rewarded outcomes enhance reactivation of experience in the hippocampus. Neuron 64, 910\u2013921 (2009). https:\/\/doi.org\/10.1016\/J.NEURON.2009.11.016","journal-title":"Neuron"},{"key":"13_CR14","doi-asserted-by":"publisher","unstructured":"Momennejad, I., Otto, A.R., Daw, N.D., Norman, K.A.: Offline replay supports planning in human reinforcement learning. Elife 7 (2018). https:\/\/doi.org\/10.7554\/ELIFE.32548","DOI":"10.7554\/ELIFE.32548"},{"key":"13_CR15","doi-asserted-by":"publisher","unstructured":"Schapiro, A.C., McDevitt, E.A., Rogers, T.T., Mednick, S.C., Norman, K.A.: Human hippocampal replay during rest prioritizes weakly learned information and predicts memory performance. Nat Commun. 9 (2018). https:\/\/doi.org\/10.1038\/S41467-018-06213-1","DOI":"10.1038\/S41467-018-06213-1"},{"key":"13_CR16","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/J.CELL.2019.06.012","volume":"178","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Dolan, R.J., Kurth-Nelson, Z., Behrens, T.E.J.: Human replay spontaneously reorganizes experience. Cell 178, 640-652.e14 (2019). https:\/\/doi.org\/10.1016\/J.CELL.2019.06.012","journal-title":"Cell"},{"key":"13_CR17","doi-asserted-by":"publisher","unstructured":"Schuck, N.W., Niv, Y.: Sequential replay of nonspatial task states in the human hippocampus. Science. 364 (2019). https:\/\/doi.org\/10.1126\/SCIENCE.AAW5181","DOI":"10.1126\/SCIENCE.AAW5181"},{"key":"13_CR18","doi-asserted-by":"publisher","unstructured":"Buhry, L., Azizi, A.H., Cheng, S.: Reactivation, replay, and preplay: how it might all fit together. Neural Plast. 2011 (2011). https:\/\/doi.org\/10.1155\/2011\/203462","DOI":"10.1155\/2011\/203462"},{"key":"13_CR19","doi-asserted-by":"publisher","unstructured":"Findlay, G., Tononi, G., Cirelli, C.: The evolving view of replay and its functions in wake and sleep. Sleep Adv. 1 (2021). https:\/\/doi.org\/10.1093\/SLEEPADVANCES\/ZPAB002","DOI":"10.1093\/SLEEPADVANCES\/ZPAB002"},{"key":"13_CR20","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1023\/A:1008861001091","volume":"6","author":"DA August","year":"1999","unstructured":"August, D.A., Levy, W.B.: Temporal sequence compression by an integrate-and-fire model of hippocampal area CA3. J. Comput. Neurosci. 6, 71\u201390 (1999). https:\/\/doi.org\/10.1023\/A:1008861001091","journal-title":"J. Comput. Neurosci."},{"key":"13_CR21","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1002\/(SICI)1098-1063(1996)6:6<685::AID-HIPO11>3.0.CO;2-X","volume":"6","author":"B Shen","year":"1996","unstructured":"Shen, B., McNaughton, B.L.: Modeling the spontaneous reactivation of experience-specific hippocampal cell assembles during sleep. Hippocampus 6, 685\u2013692 (1996)","journal-title":"Hippocampus"},{"key":"13_CR22","doi-asserted-by":"publisher","unstructured":"Milstein, A.D., Tran, S., Ng, G., Soltesz, I.: Offline memory replay in recurrent neuronal networks emerges from constraints on online dynamics. J. Physiol. (2022). https:\/\/doi.org\/10.1113\/JP283216","DOI":"10.1113\/JP283216"},{"key":"13_CR23","doi-asserted-by":"publisher","first-page":"16236","DOI":"10.1523\/JNEUROSCI.3977-14.2015","volume":"35","author":"S Jahnke","year":"2015","unstructured":"Jahnke, S., Timme, M., Memmesheimer, R.M.: A unified dynamic model for learning, replay, and sharp-wave\/ripples. J. Neurosci. 35, 16236\u201316258 (2015). https:\/\/doi.org\/10.1523\/JNEUROSCI.3977-14.2015","journal-title":"J. Neurosci."},{"key":"13_CR24","doi-asserted-by":"publisher","unstructured":"Biswas, D., Pallikkulath, S., Chakravarthy, V.S.: A complex-valued oscillatory neural network for storage and retrieval of multidimensional aperiodic signals. Front. Comput. Neurosci. 15 (2021). https:\/\/doi.org\/10.3389\/FNCOM.2021.551111","DOI":"10.3389\/FNCOM.2021.551111"},{"key":"13_CR25","doi-asserted-by":"publisher","first-page":"1609","DOI":"10.1038\/S41593-018-0232-Z","volume":"21","author":"MG Mattar","year":"2018","unstructured":"Mattar, M.G., Daw, N.D.: Prioritized memory access explains planning and hippocampal replay. Nat. Neurosci. 21, 1609\u20131617 (2018). https:\/\/doi.org\/10.1038\/S41593-018-0232-Z","journal-title":"Nat. Neurosci."},{"key":"13_CR26","unstructured":"Righetti, L., Buchli, J., Ijspeert, A.J.: From Dynamic hebbian learning for oscillators to adaptive central pattern generators. In: Proceedings of 3rd International Symposium on Adaptive Motion in Animals and Machines -- AMAM 2005, p. 45 (2005)"},{"key":"13_CR27","doi-asserted-by":"publisher","first-page":"64","DOI":"10.2174\/1874110X00903020064","volume":"3","author":"L Righetti","year":"2009","unstructured":"Righetti, L., Buchli, J., Ijspeert, A.J.: Adaptive frequency oscillators and applications. Open Cybern. Syst. J. 3, 64\u201369 (2009). https:\/\/doi.org\/10.2174\/1874110X00903020064","journal-title":"Open Cybern. Syst. J."},{"key":"13_CR28","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1016\/J.TINS.2015.07.004","volume":"38","author":"LA Atherton","year":"2015","unstructured":"Atherton, L.A., Dupret, D., Mellor, J.R.: Memory trace replay: the shaping of memory consolidation by neuromodulation. Trends Neurosci. 38, 560 (2015). https:\/\/doi.org\/10.1016\/J.TINS.2015.07.004","journal-title":"Trends Neurosci."},{"key":"13_CR29","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1146\/ANNUREV-NEURO-072116-031538","volume":"40","author":"DJ Foster","year":"2017","unstructured":"Foster, D.J.: Replay comes of age. Annu. Rev. Neurosci. 40, 581\u2013602 (2017). https:\/\/doi.org\/10.1146\/ANNUREV-NEURO-072116-031538","journal-title":"Annu. Rev. Neurosci."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Machine Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-45170-6_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T13:04:46Z","timestamp":1699967086000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-45170-6_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031451690","9783031451706"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-45170-6_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"4 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PReMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition and Machine Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"premi2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.isical.ac.in\/~premi23\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"311","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"91","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}