{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:35:21Z","timestamp":1725518121579},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540875581"},{"type":"electronic","value":"9783540875598"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-87559-8_35","type":"book-chapter","created":{"date-parts":[[2008,8,28]],"date-time":"2008-08-28T12:06:31Z","timestamp":1219925191000},"page":"338-347","source":"Crossref","is-referenced-by-count":1,"title":["Firing Pattern Estimation of Synaptically Coupled Hindmarsh-Rose Neurons by Adaptive Observer"],"prefix":"10.1007","author":[{"given":"Yusuke","family":"Totoki","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kouichi","family":"Mitsunaga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haruo","family":"Suemitsu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takami","family":"Matsuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"35_CR1","doi-asserted-by":"publisher","first-page":"188101","DOI":"10.1103\/PhysRevLett.94.188101","volume":"94","author":"I. Belykh","year":"2005","unstructured":"Belykh, I., de Lange, E., Hasler, M.: Synchronization of bursting neurons: What matters in the network topology. Phys. Rev. Lett.\u00a094, 188101 (2005)","journal-title":"Phys. Rev. Lett."},{"issue":"5","key":"35_CR2","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1109\/TNN.2004.832719","volume":"15","author":"E.M. Izhikevich","year":"2004","unstructured":"Izhikevich, E.M.: Which model to use for cortical spiking neurons? IEEE Trans on Neural Networks\u00a015(5), 1063\u20131070 (2004)","journal-title":"IEEE Trans on Neural Networks"},{"issue":"6","key":"35_CR3","doi-asserted-by":"publisher","first-page":"1569","DOI":"10.1109\/TNN.2003.820440","volume":"14","author":"E.M. Izhikevich","year":"2002","unstructured":"Izhikevich, E.M.: Simple model of spiking neurons. IEEE Trans on Neural Networks\u00a014(6), 1569\u20131572 (2002)","journal-title":"IEEE Trans on Neural Networks"},{"key":"35_CR4","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1038\/296162a0","volume":"296","author":"J. Hindmarsh","year":"1982","unstructured":"Hindmarsh, J., Rose, R.: A model of the nerve impulse using two first order differential equations. Nature\u00a0296, 162\u2013164 (1982)","journal-title":"Nature"},{"key":"35_CR5","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1098\/rspb.1984.0024","volume":"221","author":"J. Hindmarsh","year":"1984","unstructured":"Hindmarsh, J., Rose, R.: A model of neuronal bursting using three coupled first order differential equations. Proc. R. Soc. Lond. B.\u00a0221, 87\u2013102 (1984)","journal-title":"Proc. R. Soc. Lond. B."},{"key":"35_CR6","doi-asserted-by":"publisher","first-page":"13901","DOI":"10.1063\/1.1827451","volume":"15","author":"T.L. Carroll","year":"2005","unstructured":"Carroll, T.L.: Chaotic systems that are robust to added noise. CHAOS\u00a015, 013901 (2005)","journal-title":"CHAOS"},{"key":"35_CR7","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1016\/j.chaos.2005.04.064","volume":"27","author":"P. Arena","year":"2006","unstructured":"Arena, P., Fortuna, L., Frasca, M., Rosa, M.L.: Locally active Hindmarsh-Rose neurons. Chaos, Soliton and Fractals\u00a027, 405\u2013412 (2006)","journal-title":"Chaos, Soliton and Fractals"},{"key":"35_CR8","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1093\/chemse\/bjg059","volume":"28","author":"N. Meunier","year":"2003","unstructured":"Meunier, N., Narion-Poll, R., Lansky, P., Rospars, J.O.: Estimation of the individual firing frequencies of two neurons recorded with a single electrode. Chem. Senses\u00a028, 671\u2013679 (2003)","journal-title":"Chem. Senses"},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Tokuda, I., Parlitz, U., Illing, L., Kennel, M., Abarbanel, H.: Parameter estimation for neuron models. In: Proc. of the 7th Experimental Chaos Conference (2002)","DOI":"10.1063\/1.1612220"},{"key":"35_CR10","unstructured":"Steur, E.: Parameter estimation in Hindmarsh-Rose neurons,traineeship report (2006), http:\/\/alexandria.tue.nl\/repository\/books\/626834.pdf"},{"issue":"9","key":"35_CR11","doi-asserted-by":"publisher","first-page":"1054","DOI":"10.1109\/9.58536","volume":"35","author":"R. Marino","year":"1990","unstructured":"Marino, R.: Adaptive observers for single output nonlinear systems. IEEE Trans. on Automatic Control\u00a035(9), 1054\u20131058 (1990)","journal-title":"IEEE Trans. on Automatic Control"},{"key":"35_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/978-3-540-69158-7_10","volume-title":"ICONIP 2007","author":"K. Mitsunaga","year":"2008","unstructured":"Mitsunaga, K., Totoki, Y., Matsuo, T.: Firing pattern estimation of biological neuron models by adaptive observer. In: Ishikawa, M., et al. (eds.) ICONIP 2007, Part I. LNCS, vol.\u00a04984, pp. 83\u201392. Springer, Heidelberg (2008)"},{"key":"35_CR13","volume-title":"Stable Adaptive Systems","author":"K. Narendra","year":"1989","unstructured":"Narendra, K., Annaswamy, A.: Stable Adaptive Systems. Prentice Hall Inc., Englewood Cliffs (1989)"},{"issue":"1","key":"35_CR14","doi-asserted-by":"crossref","first-page":"11","DOI":"10.4036\/iis.2005.11","volume":"11","author":"K. Katayama","year":"2005","unstructured":"Katayama, K., Horiguchi, T.: Synchronous phenomena of neural network models using Hindmarsh-Rose equation. Interdisciplinary Information Sciences\u00a011(1), 11\u201315 (2005)","journal-title":"Interdisciplinary Information Sciences"},{"key":"35_CR15","unstructured":"Watts, L.: A tour of neuralog and spike - tools for simulating networks of spiking neurons (1993), http:\/\/www.lloydwatts.com\/SpikeBrochure.pdf"},{"issue":"11","key":"35_CR16","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1175\/1520-0469(1993)050<1531:FTLSAA>2.0.CO;2","volume":"51","author":"S. Yoden","year":"1993","unstructured":"Yoden, S., Nomura, M.: Finite-time Lyapunov stability analysis and its application to atmospheric predictability. Journal of the Atmospheric Sciences\u00a051(11), 1531\u20131543 (1993)","journal-title":"Journal of the Atmospheric Sciences"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks - ICANN 2008"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-87559-8_35.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T21:38:48Z","timestamp":1606167528000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-87559-8_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540875581","9783540875598"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-87559-8_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}