{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T18:04:32Z","timestamp":1725905072666},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319633084"},{"type":"electronic","value":"9783319633091"}],"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-63309-1_9","type":"book-chapter","created":{"date-parts":[[2017,7,19]],"date-time":"2017-07-19T10:09:09Z","timestamp":1500458949000},"page":"89-100","source":"Crossref","is-referenced-by-count":0,"title":["Topological Structure Analysis of Developmental Spiking Neural Networks"],"prefix":"10.1007","author":[{"given":"Xianghong","family":"Lin","sequence":"first","affiliation":[]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jichang","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,7,20]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.neunet.2014.01.006","volume":"52","author":"NK Kasabov","year":"2014","unstructured":"Kasabov, N.K.: NeuCube: a spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data. Neural Netw. 52, 62\u201376 (2014)","journal-title":"Neural Netw."},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Diehl, P.U., Zarrella, G., Cassidy, A., et al.: Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware. In: Proceedings of the IEEE International Conference on Rebooting Computing, pp. 1\u20138 (2016)","DOI":"10.1109\/ICRC.2016.7738691"},{"issue":"4","key":"9_CR3","first-page":"461","volume":"4","author":"H Kitano","year":"1990","unstructured":"Kitano, H.: Designing neural networks using genetic algorithms with graph generation system. Complex Syst. 4(4), 461\u2013476 (1990)","journal-title":"Complex Syst."},{"key":"9_CR4","unstructured":"Homma, N., Aoki, T. Higuchi, T.: Evolutionary graph generation system with transmigration capability for arithmetic circuit design. In: Proceedings of the 2001 IEEE International Symposium on Circuits and Systems, vol. 5, pp. 171\u2013174 (2001)"},{"key":"9_CR5","unstructured":"Gruau F.: Neural network synthesis using cellular encoding and the genetic algorithm. Ph.D. thesis, Universit\u00e9 Claude Bernard-Lyon (1994)"},{"key":"9_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ydbio.2005.04.023","volume":"283","author":"WJ Longabaugh","year":"2005","unstructured":"Longabaugh, W.J., Davidson, E.H., Bolouri, H.: Computational representation of developmental genetic regulatory networks. Dev. Biol. 283, 1\u201316 (2005)","journal-title":"Dev. Biol."},{"issue":"1","key":"9_CR7","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1080\/21541264.2015.1130118","volume":"7","author":"M Mart\u00edn","year":"2016","unstructured":"Mart\u00edn, M., Organista, M.F., de Celis, J.F.: Structure of developmental gene regulatory networks from the perspective of cell fate-determining genes. Transcription 7(1), 32\u201337 (2016)","journal-title":"Transcription"},{"key":"9_CR8","volume-title":"Computing with Artificial Gene Regulatory Networks: Evolutionary Algorithms in Gene Regulatory Network Research","author":"MA Lones","year":"2016","unstructured":"Lones, M.A.: Computing with Artificial Gene Regulatory Networks: Evolutionary Algorithms in Gene Regulatory Network Research. Wiley, Hoboken (2016)"},{"key":"9_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.engappai.2014.11.003","volume":"39","author":"F Ahmadizar","year":"2015","unstructured":"Ahmadizar, F., Soltanian, K., AkhlaghianTab, F., et al.: Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm. Eng. Appl. Artif. Intell. 39, 1\u201313 (2015)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"5\u20136","key":"9_CR10","doi-asserted-by":"crossref","first-page":"746","DOI":"10.1016\/j.neunet.2005.06.006","volume":"18","author":"D Federici","year":"2005","unstructured":"Federici, D.: A regenerating spiking neural network. Neural Netw. Off. J. Int. Neural Netw. Soc. 18(5\u20136), 746\u2013754 (2005)","journal-title":"Neural Netw. Off. J. Int. Neural Netw. Soc."},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"Weaver, D.C., Workman, C.T., Stormo, G.D.: Modeling regulatory networks with weight matrices. In: Proceedings of Pacific Symposium on Biocomputing, vol. 4, pp. 112\u2013123 (1999)","DOI":"10.1142\/9789814447300_0011"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Fazekas, I, Porv\u00e1zsnyik, B.: Scale-free property for degrees and weights in a preferential attachment random graph model. J. Probab. Stat. (2013). Article ID 707960","DOI":"10.1155\/2013\/707960"},{"issue":"11","key":"9_CR13","doi-asserted-by":"crossref","first-page":"1550122","DOI":"10.1142\/S0129183115501223","volume":"26","author":"T Suzuki","year":"2015","unstructured":"Suzuki, T., Okazawa, M., Ohkura, K.: Small-world property evaluated by exchanging network topology. Int. J. Mod. Phys. C 26(11), 1550122 (2015)","journal-title":"Int. J. Mod. Phys. C"},{"key":"9_CR14","doi-asserted-by":"publisher","first-page":"1957","DOI":"10.1007\/978-1-4419-9863-7_2","volume-title":"Encyclopedia of Systems Biology","author":"H Mehlhorn","year":"2013","unstructured":"Mehlhorn, H., Schreiber, F.: Small-world property. In: Dubitzky, W., Wolkenhauer, O., Cho, K.-H., Yokota, H. (eds.) Encyclopedia of Systems Biology, pp. 1957\u20131959. Springer, New York (2013). doi: 10.1007\/978-1-4419-9863-7_2"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-63309-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T04:44:32Z","timestamp":1659242672000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-63309-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319633084","9783319633091"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-63309-1_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}