{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:09:54Z","timestamp":1725487794439},"publisher-location":"Berlin, Heidelberg","reference-count":24,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540723820"},{"type":"electronic","value":"9783540723837"}],"license":[{"start":{"date-parts":[[2007,1,1]],"date-time":"2007-01-01T00:00:00Z","timestamp":1167609600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-72383-7_134","type":"book-chapter","created":{"date-parts":[[2007,7,16]],"date-time":"2007-07-16T18:47:40Z","timestamp":1184611660000},"page":"1144-1152","source":"Crossref","is-referenced-by-count":4,"title":["Statistical Neurodynamics for Sequence Processing Neural Networks with Finite Dilution"],"prefix":"10.1007","author":[{"given":"Pan","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yong","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"134_CR1","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1103\/PhysRevLett.57.2861","volume":"57","author":"H. Sompolinsky","year":"1986","unstructured":"Sompolinsky, H., Kanter, I.: Temporal Association in Aymmetric Neural Networks. Phys. Rev. Lett.\u00a057, 2861\u20132864 (1986)","journal-title":"Phys. Rev. Lett."},{"key":"134_CR2","doi-asserted-by":"publisher","first-page":"8607","DOI":"10.1088\/0305-4470\/31\/43\/005","volume":"31","author":"A. D\u00fcring","year":"1998","unstructured":"D\u00fcring, A., Coolen, A.C.C., Sherrington, D.: Phase Diagram and Storage Capacity of Sequence Processing Neural Networks. J. Phys. A: Math. Gen.\u00a031, 8607\u20138621 (1998)","journal-title":"J. Phys. A: Math. Gen."},{"key":"134_CR3","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1088\/0305-4470\/35\/2\/306","volume":"35","author":"M. Kawamura","year":"2002","unstructured":"Kawamura, M., Okada, M.: Transient Dynamics for Sequence Processing Neural Networks. J. Phys. A: Math. Gen.\u00a035, 253\u2013266 (2002)","journal-title":"J. Phys. A: Math. Gen."},{"key":"134_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0378-4371(03)00569-7","volume":"328","author":"W.K. Theumann","year":"2003","unstructured":"Theumann, W.K.: Mean-field Dynamics of Sequence Processing Neural Networks with Finite Connectivity. Physica A\u00a0328, 1\u201312 (2003)","journal-title":"Physica A"},{"key":"134_CR5","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1142\/S0129183100000043","volume":"11","author":"C. Yong","year":"2000","unstructured":"Yong, C., Hai, W.Y., Qing, Y.K.: The Attractors in Sequence Processing Neural Networks. Int. J. Modern Phys. C\u00a011, 33\u201339 (2000)","journal-title":"Int. J. Modern Phys. C"},{"key":"134_CR6","doi-asserted-by":"publisher","first-page":"2554","DOI":"10.1073\/pnas.79.8.2554","volume":"79","author":"J.J. Hopfield","year":"1982","unstructured":"Hopfield, J.J.: Neural Networks and Physical Systems with Emergent Collective Computational Abilities. Proc. Nat. Acad. Sci.\u00a079, 2554\u20132558 (1982)","journal-title":"Proc. Nat. Acad. Sci."},{"key":"134_CR7","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1103\/PhysRevA.32.1007","volume":"32","author":"D.J. Amit","year":"1985","unstructured":"Amit, D.J., Gutfreund, H., Sompolinsky, H.: Spin-glass Models of Neural Networks. Phys. Rev. A.\u00a032, 1007\u20131018 (1985)","journal-title":"Phys. Rev. A."},{"key":"134_CR8","doi-asserted-by":"crossref","unstructured":"Amari, S.: Statistical Neurodynamics of Associative Memory. In: Proc. IEEE Conference on Neural Networks., vol.\u00a01, pp. 633\u2013640 (1988)","DOI":"10.1109\/ICNN.1988.23900"},{"key":"134_CR9","doi-asserted-by":"publisher","first-page":"833","DOI":"10.1016\/0893-6080(95)00001-G","volume":"8","author":"M. Okada","year":"1995","unstructured":"Okada, M.: A Hierarchy of Macrodynamical Equations for Associative Memory. Neural Networks\u00a08, 833\u2013838 (1995)","journal-title":"Neural Networks"},{"key":"134_CR10","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1088\/0305-4470\/26\/4\/013","volume":"26","author":"H. Nishimori","year":"1993","unstructured":"Nishimori, H., Ozeki, T.: Retrieval Dynamics of Associative Memory of the Hopfield Type. J. Phys. A: Math. Gen.\u00a026, 859\u2013871 (1993)","journal-title":"J. Phys. A: Math. Gen."},{"key":"134_CR11","doi-asserted-by":"publisher","first-page":"7061","DOI":"10.1088\/0305-4470\/27\/21\/020","volume":"27","author":"T. Ozeki","year":"1994","unstructured":"Ozeki, T., Nishimori, H.: Noise Distributions in Retrieval Dynamics of the Hopfield Model. J. Phys. A: Math. Gen.\u00a027, 7061\u20137068 (1994)","journal-title":"J. Phys. A: Math. Gen."},{"key":"134_CR12","doi-asserted-by":"crossref","unstructured":"Kitano, K., Aoyagi, T.: Retrieval Dynamics of Neural Networks for Sparsely Coded Sequential Patterns. J. Phys. A: Math. Gen. 31, L613\u2013L620 (1998)","DOI":"10.1088\/0305-4470\/31\/36\/004"},{"key":"134_CR13","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1051\/jphys:01987004805074100","volume":"48","author":"E. Gardner","year":"1987","unstructured":"Gardner, E., Derrida, B., Mottishaw, P.: Zero Temperature Parallel Dynamics for Infinite Range Spin Glasses and Neural Networks. J. Physique\u00a048, 741\u2013755 (1987)","journal-title":"J. Physique"},{"key":"134_CR14","doi-asserted-by":"publisher","first-page":"1268","DOI":"10.1103\/PhysRevLett.58.1268","volume":"58","author":"H.J. Sommers","year":"1987","unstructured":"Sommers, H.J.: Path-integral Approach to Ising Spin-glass Dynamics. Phys. Rev. Lett.\u00a058, 1268\u20131271 (1987)","journal-title":"Phys. Rev. Lett."},{"key":"134_CR15","doi-asserted-by":"publisher","first-page":"4761","DOI":"10.1088\/0305-4470\/28\/17\/012","volume":"28","author":"S. Gomi","year":"1995","unstructured":"Gomi, S., Yonezawa, F.: A New Perturbation Theory for the Dynamics of the Little-Hopfield Model. J. Phys. A: Math. Gen.\u00a028, 4761\u20134775 (1995)","journal-title":"J. Phys. A: Math. Gen."},{"key":"134_CR16","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/S0893-6080(98)00129-4","volume":"12","author":"H. Koyama","year":"1999","unstructured":"Koyama, H., Fujie, N., Seyama, H.: Results From the Gardner-Derrida-Mottishaw Theory of Associative Memory. Neural Networks\u00a012, 247\u2013257 (1999)","journal-title":"Neural Networks"},{"key":"134_CR17","unstructured":"Coolen, A.C.C.: Statistical Mechanics of Recurrent Neural Networks II. Dynamics. cond-mat\/0006011"},{"key":"134_CR18","doi-asserted-by":"publisher","first-page":"5427","DOI":"10.1088\/0305-4470\/24\/22\/025","volume":"24","author":"T.L.H. Watkin","year":"1991","unstructured":"Watkin, T.L.H., Sherrington, D.: The Parallel Dynamics of a Dilute Symmetric Hebb-rule Network. J. Phys A: Math. Gen.\u00a024, 5427\u20135433 (1991)","journal-title":"J. Phys A: Math. Gen."},{"key":"134_CR19","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1209\/0295-5075\/4\/2\/007","volume":"4","author":"B. Derrida","year":"1987","unstructured":"Derrida, B., Gardner, E., Zippelius, A.: An Exactly Solvable Asymmetric Neural Network Model. Europhys. Lett.\u00a04, 167\u2013173 (1987)","journal-title":"Europhys. Lett."},{"key":"134_CR20","doi-asserted-by":"crossref","unstructured":"Patrick, A.E., Zagrebnov, V.A.: Parallel Dynamics for an Extremely Diluted Neural Network. J. Phys. A: Math. Gen. 23, L1323\u2013L1329 (1990)","DOI":"10.1088\/0305-4470\/23\/24\/007"},{"key":"134_CR21","unstructured":"Castillo, I.P., Skantzos, N.S.: The Little-Hopfield Model on a Random Graph. cond-mat\/0307499"},{"key":"134_CR22","doi-asserted-by":"publisher","first-page":"2571","DOI":"10.1103\/PhysRevA.34.2571","volume":"34","author":"H. Sompolinsky","year":"1986","unstructured":"Sompolinsky, H.: Neural Networks with Nonlinear Synapses and Static Noise. Phys. Rev. A.\u00a034, 2571\u20132574 (1986)","journal-title":"Phys. Rev. A."},{"key":"134_CR23","doi-asserted-by":"publisher","first-page":"9617","DOI":"10.1088\/0305-4470\/36\/37\/302","volume":"36","author":"B. Wemmenhove","year":"2003","unstructured":"Wemmenhove, B., Coolen, A.C.C.: Finite Connectivity Attractor Neural Networks. J. Phys A: Math. Gen.\u00a036, 9617\u20139633 (2003)","journal-title":"J. Phys A: Math. Gen."},{"key":"134_CR24","doi-asserted-by":"crossref","unstructured":"Chen, Y., Wang, Y.H., Yang, K.Q.: Macroscopic Dynamics in Separable Neural Networks. Phys. Rev. E 63, 041901-4 (2001)","DOI":"10.1103\/PhysRevE.63.041901"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2007"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-72383-7_134","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,18]],"date-time":"2019-02-18T02:52:55Z","timestamp":1550458375000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-72383-7_134"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540723820","9783540723837"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-72383-7_134","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2007]]}}}