{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:20:06Z","timestamp":1765545606586},"reference-count":26,"publisher":"MIT Press - Journals","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Computation"],"published-print":{"date-parts":[[2010,9]]},"abstract":"<jats:p> Neural activity is nonstationary and varies across time. Hidden Markov models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. Within this context, an independent Poisson model has been used for the output distribution of HMMs; hence, the model is incapable of tracking the change in correlation without modulating the firing rate. To achieve this, we applied a multivariate Poisson distribution with correlation terms for the output distribution of HMMs. We formulated a variational Bayes (VB) inference for the model. The VB could automatically determine the appropriate number of hidden states and correlation types while avoiding the overlearning problem. We developed an efficient algorithm for computing posteriors using the recursive relationship of a multivariate Poisson distribution. We demonstrated the performance of our method on synthetic data and real spike trains recorded from a songbird. <\/jats:p>","DOI":"10.1162\/neco.2010.08-08-838","type":"journal-article","created":{"date-parts":[[2010,3,25]],"date-time":"2010-03-25T22:19:36Z","timestamp":1269555576000},"page":"2369-2389","source":"Crossref","is-referenced-by-count":5,"title":["Extracting State Transition Dynamics from Multiple Spike Trains Using Hidden Markov Models with Correlated Poisson Distribution"],"prefix":"10.1162","volume":"22","author":[{"given":"Kentaro","family":"Katahira","sequence":"first","affiliation":[{"name":"Graduate School of Frontier Sciences, University of Tokyo, 277-8561 Chiba, Japan, and RIKEN Brain Science Institute, 35-0198 Saitama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Nishikawa","sequence":"additional","affiliation":[{"name":"RIKEN Brain Science Institute, 35-0198 Saitama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kazuo","family":"Okanoya","sequence":"additional","affiliation":[{"name":"RIKEN Brain Science Institute, 35-0198 Saitama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masato","family":"Okada","sequence":"additional","affiliation":[{"name":"Graduate School of Frontier Sciences, University of Tokyo, 277-8561 Chiba, Japan, and RIKEN Brain Science Institute, 35-0198 Saitama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.92.19.8616"},{"key":"B2","first-page":"21","volume-title":"Proc. of 15th Conference on Uncertainty in Artificial Intelligence","author":"Attias H.","year":"1999"},{"key":"B4","first-page":"129","volume-title":"Advances in neural information processing systems","volume":"21","author":"Berkes P.","year":"2009"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1162\/08997660252741149"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1038\/nn1228"},{"key":"B7","first-page":"227","volume-title":"Advances in neural information processing systems","volume":"18","author":"Danoczy M.","year":"2005"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1088\/0954-898X\/8\/3\/005"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1556009"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0705546104"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1080\/03610929108830490"},{"key":"B12","first-page":"817","volume-title":"Advances in neural information processing systems","volume":"21","author":"Katahira K.","year":"2009"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1080\/09548980701625173"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.16-18-05854.1996"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.3.415"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-006-9008-5"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1162\/08997660260293238"},{"key":"B18","first-page":"1233","volume-title":"Advances in neural information processing systems","volume":"21","author":"Onken A.","year":"2009"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1007\/BF00239623"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1038\/nature04701"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1162\/089976603765202622"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.73.031910"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1038\/373515a0"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2004.828640"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.0030249"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2005.02.014"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1126\/science.273.5283.1871"}],"container-title":["Neural Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/neco.2010.08-08-838","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T21:38:08Z","timestamp":1615585088000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/neco\/article\/22\/9\/2369-2389\/7572"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,9]]},"references-count":26,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2010,9]]}},"alternative-id":["10.1162\/neco.2010.08-08-838"],"URL":"https:\/\/doi.org\/10.1162\/neco.2010.08-08-838","relation":{},"ISSN":["0899-7667","1530-888X"],"issn-type":[{"value":"0899-7667","type":"print"},{"value":"1530-888X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,9]]}}}