{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:33:07Z","timestamp":1725913987705},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700922"},{"type":"electronic","value":"9783319700939"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-70093-9_19","type":"book-chapter","created":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T22:48:48Z","timestamp":1508798928000},"page":"182-191","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning"],"prefix":"10.1007","author":[{"given":"Feifei","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Tielin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"issue":"7","key":"19_CR1","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y.-W.: A fast learning algorithm for deep belief nets. Neural Comput. 18(7), 1527\u20131554 (2006)","journal-title":"Neural Comput."},{"issue":"7553","key":"19_CR2","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y Lecun","year":"2015","unstructured":"Lecun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1026\u20131034 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"issue":"1","key":"19_CR4","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/72.554195","volume":"8","author":"S Lawrence","year":"1997","unstructured":"Lawrence, S., Giles, C.L., Tsoi, A.C., Back, A.D.: Face recognition: a convolutional neural network approach. IEEE Trans. Neural Netw. 8(1), 98\u2013113 (1997)","journal-title":"IEEE Trans. Neural Netw."},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Deng, L., Hinton, G., Kingsbury, B.: New types of deep neural network learning for speech recognition and related applications: an overview. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 8599\u20138603 (2013)","DOI":"10.1109\/ICASSP.2013.6639344"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Zhou, Z.-H., Feng, J.: Deep forest: towards an alternative to deep neural networks (2017)","DOI":"10.24963\/ijcai.2017\/497"},{"key":"19_CR7","unstructured":"Molchanov, P., Tyree, S., Karras, T., Aila, T., Kautz, J.: Pruning convolutional neural networks for resource efficient transfer learning. In: Proceedings of the International Conference on Learning Representations (ICLR) (2017)"},{"issue":"1","key":"19_CR8","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/72.265960","volume":"5","author":"PJ Angeline","year":"1994","unstructured":"Angeline, P.J., Saunders, G.M., Pollack, J.B.: An evolutionary algorithm that constructs recurrent neural networks. IEEE Trans. Neural Netw. 5(1), 54\u201365 (1994)","journal-title":"IEEE Trans. Neural Netw."},{"key":"19_CR9","unstructured":"Yao, X., Liu, Y.: Evolving artificial neural networks through evolutionary programming. In: Proceedings of the 5th Annual Conference on Evolutionary Programming, pp. 257\u2013266 (1996)"},{"key":"19_CR10","first-page":"289","volume":"11","author":"JC Park","year":"1997","unstructured":"Park, J.C., Abusalah, S.T.: Maximum entropy: a special case of minimum cross-entropy applied to nonlinear estimation by an artificial neural network. Complex Syst. 11, 289\u2013308 (1997)","journal-title":"Complex Syst."},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Vonk, E., Jain, L.C., Johnson, R.: Using genetic algorithms with grammar encoding to generate neural networks. In: Proceedings of IEEE International Conference on Neural Networks 4, 1928\u20131931 (1995)","DOI":"10.1109\/ICNN.1995.488965"},{"key":"19_CR12","unstructured":"Ioan, I., Rotar, C., Incze, A.: The optimization of feed forward neural networks structure using genetic algorithms. In: Proceedings of the International Conference on Theory and Applications of Mathematics and Informatics (ICTAMI) 8, 223\u2013234 (2004)"},{"issue":"7","key":"19_CR13","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1162\/089976698300017124","volume":"10","author":"G Chechik","year":"1998","unstructured":"Chechik, G., Meilijson, I., Ruppin, E.: Synaptic pruning in development: a computational account. Neural Comput. 10(7), 1759\u20131777 (1998)","journal-title":"Neural Comput."},{"issue":"1","key":"19_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.braindev.2008.03.014","volume":"31","author":"MV Johnston","year":"2009","unstructured":"Johnston, M.V., Ishida, A., Ishida, W.N., Matsushita, H.B., Nishimura, A., Tsuji, M.: Plasticity and injury in the developing brain. Brain Dev. 31(1), 1\u201310 (2009)","journal-title":"Brain Dev."},{"issue":"28","key":"19_CR15","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1146\/annurev.neuro.27.070203.144216","volume":"28","author":"A Pascual-Leone","year":"2005","unstructured":"Pascual-Leone, A., Amedi, A., Fregni, F., Merabet, L.B.: The plastic human brain cortex. Annu. Rev. Neurosci. 28(28), 377\u2013401 (2005)","journal-title":"Annu. Rev. Neurosci."},{"issue":"7569","key":"19_CR16","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1038\/nature15257","volume":"525","author":"A Hayashi-Takagi","year":"2015","unstructured":"Hayashi-Takagi, A., Yagishita, S., Nakamura, M., Shirai, F., Wu, Y., Loshbaugh, A.L., Kuhlman, B., Hahn, K.M., Kasai, H.: Labelling and optical erasure of synaptic memory traces in the motor cortex. Nature 525(7569), 333\u2013338 (2015)","journal-title":"Nature"},{"issue":"98","key":"19_CR17","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/S0925-2312(98)00161-1","volume":"26\u201327","author":"G Chechik","year":"1999","unstructured":"Chechik, G., Meilijson, I., Ruppin, E.: Neuronal regulation: a biologically plausible mechanism for efficient synaptic pruning in development. Neurocomputing 26\u201327(98), 633\u2013639 (1999)","journal-title":"Neurocomputing"},{"key":"19_CR18","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-1-4615-4831-7_25","volume-title":"Computational Neuroscience","author":"G Chechik","year":"1998","unstructured":"Chechik, G., Meilijson, I., Ruppin, E.: Synaptic pruning in development: a novel account in neural terms. In: Bower, J.M. (ed.) Computational Neuroscience, pp. 149\u2013154. Springer, Boston (1998). doi:10.1007\/978-1-4615-4831-7_25"},{"issue":"3","key":"19_CR19","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","volume":"27","author":"CE Shannon","year":"1948","unstructured":"Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27(3), 379\u2013423 (1948)","journal-title":"Bell Syst. Tech. J."},{"key":"19_CR20","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1002\/j.1538-7305.1951.tb01366.x","volume":"30","author":"CE Shannon","year":"1951","unstructured":"Shannon, C.E.: Prediction and entropy of printed English. Bell Syst. Tech. J. 30, 50\u201364 (1951)","journal-title":"Bell Syst. Tech. J."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70093-9_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:21:36Z","timestamp":1710346896000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-70093-9_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700922","9783319700939"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70093-9_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"24 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iconip2017.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}