{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:04:47Z","timestamp":1761807887882},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2014,7,25]],"date-time":"2014-07-25T00:00:00Z","timestamp":1406246400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2015,7]]},"DOI":"10.1007\/s00500-014-1364-z","type":"journal-article","created":{"date-parts":[[2014,7,24]],"date-time":"2014-07-24T07:18:15Z","timestamp":1406186295000},"page":"1803-1816","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Evolutionary learning of spiking neural networks towards quantification of 3D MRI brain tumor tissues"],"prefix":"10.1007","volume":"19","author":[{"given":"Arunadevi","family":"Baladhandapani","sequence":"first","affiliation":[]},{"given":"Deepa Subramaniam","family":"Nachimuthu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,7,25]]},"reference":[{"key":"1364_CR1","unstructured":"American Cancer Society (2012) Cancer facts & figures 2012. American Cancer Society, Atlanta"},{"key":"1364_CR2","doi-asserted-by":"crossref","unstructured":"Bellatreche A, McGuire LP, McGiniity M, Wu Xiang Q (2006) Evolutionary design of spiking neural networks. New Math Nat Comput 2(3):237\u2013253","DOI":"10.1142\/S179300570600049X"},{"key":"1364_CR3","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/S0925-2312(01)00658-0","volume":"48","author":"SM Bohte","year":"2002","unstructured":"Bohte SM, Kok JN, La Poutre H (2002) Error-backpropagation in temporally encoded networks of spiking neurons. Neurocomputing 48:17\u201337","journal-title":"Neurocomputing"},{"key":"1364_CR4","doi-asserted-by":"crossref","unstructured":"Chen J, Suarez J, Molnar P, Behal A (2011) Maximum likelihood parameter estimation in a stochastic resonate-and-fire neuronal model. In: IEEE 1st international conference on computational advances in bio and medical sciences (ICCABS), pp 57\u201362","DOI":"10.1109\/ICCABS.2011.5729941"},{"key":"1364_CR5","unstructured":"Chin-Chen C, Zen-Chung S, Chia-Wen C, Wen-Kai T, Der-Lor W (2013) Feature based 3D texture synthesis approach. Int J Innov Comput Inf Control 9(3):1201\u20131210"},{"key":"1364_CR6","first-page":"377","volume":"2","author":"SN Deepa","year":"2014","unstructured":"Deepa SN, Arunadevi B (2014) Multi-dimensional texture characterization. On analysis for brain tumor tissues using MRS and MRI. J Digit Imaging 2:377\u2013386","journal-title":"J Digit Imaging"},{"key":"1364_CR7","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511815706","volume-title":"Spiking neuron models: single neurons, populations, plasticity","author":"W Gerstner","year":"2002","unstructured":"Gerstner W, Kistler W (2002) Spiking neuron models: single neurons, populations, plasticity. Cambridge University Press, London"},{"key":"1364_CR8","unstructured":"Ghodrati M, Khaligh-Razavi SM, Ebrahimpour R, Rajaei K, Pooyan M (2012) How can selection of biologically inspired features improve the performance of a robust object recognition model? PLoS One 17(2). doi: 10.1371\/journal.pone.003235"},{"issue":"3","key":"1364_CR9","doi-asserted-by":"crossref","first-page":"187","DOI":"10.3233\/ICA-2007-14301","volume":"14","author":"S Ghosh-Dastidar","year":"2007","unstructured":"Ghosh-Dastidar S, Adeli H (2007) Improved spiking neural networks for EEG classification and epilepsy and seizure detection. Integr Comput Aided Eng 14(3):187\u2013212","journal-title":"Integr Comput Aided Eng"},{"key":"1364_CR10","doi-asserted-by":"crossref","unstructured":"Goel P, Liu H, Brown D, Datta A (2008) On the use of spiking neural network for EEG classification. Int J Knowl Based Intell Eng Syst 12:295\u2013304","DOI":"10.3233\/KES-2008-12404"},{"key":"1364_CR11","doi-asserted-by":"crossref","unstructured":"Guo X, Johe K, Molnar P, Davis H, Hickman J (2010) Characterization of a human fetal spinal cord stem cell line, NSI-566RSC, and its induction to functional motoneurons. J Tissue Eng Regen Med 4(3):181\u2013193","DOI":"10.1002\/term.223"},{"key":"1364_CR12","doi-asserted-by":"crossref","unstructured":"Gupta A, Long LN (2007) Character recognition using spiking neural networks. In: Proceedings of international joint conference on neural networks, Florida, pp 53\u201358","DOI":"10.1109\/IJCNN.2007.4370930"},{"key":"1364_CR13","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1109\/TNN.2004.832719","volume":"15","author":"EM Izhikevich","year":"2004","unstructured":"Izhikevich EM (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15:1063\u20131070","journal-title":"IEEE Trans Neural Netw"},{"key":"1364_CR14","doi-asserted-by":"crossref","unstructured":"Jin Y, Wen R, Sendhoff B (2007) Evolutionary multi-objective optimization of spiking neural networks. In: Proceedings of ICANN. LNCS, vol 4668, pp 370\u2013379","DOI":"10.1007\/978-3-540-74690-4_38"},{"key":"1364_CR15","doi-asserted-by":"crossref","unstructured":"Kamoi S, Iwai R, Kinjo H, Ymamoto T (2003) Pulse pattern training of spiking neural networks using improved genetic algorithm. In: Proceedings of international symposium on computational intelligence in robotics and automation, Kobe, Japan, pp 977\u2013981","DOI":"10.1109\/CIRA.2003.1222312"},{"key":"1364_CR16","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1007\/s00500-011-0793-1","volume":"16","author":"S Kampakis","year":"2012","unstructured":"Kampakis S (2012) Improved Izhikevich neurons for spiking neural networks. Soft Comput 16:943\u2013953","journal-title":"Soft Comput"},{"issue":"1","key":"1364_CR17","first-page":"101","volume":"16","author":"A Kasinski","year":"2006","unstructured":"Kasinski A, Ponulak F (2006) Comparison of supervised learning methods for spike time coding in spiking neural networks. Int J Appl Math Comput Sci 16(1):101\u2013113","journal-title":"Int J Appl Math Comput Sci"},{"issue":"3","key":"1364_CR18","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1006\/gmip.1996.0016","volume":"58","author":"VA Kovalev","year":"1996","unstructured":"Kovalev VA, Petrou M (1996) Multidimensional co-occurrence matrices for object recognition and matching. Graph Models Image Process 58(3):187\u2013197","journal-title":"Graph Models Image Process"},{"key":"1364_CR19","doi-asserted-by":"crossref","unstructured":"Kovalev VA, Kruggel F, Gertz HJ, von Cramon DY (2001) Three dimensional texture analysis of MRI brain datasets. IEEE Trans Med Imaging 20:424\u2013433","DOI":"10.1109\/42.925295"},{"key":"1364_CR20","doi-asserted-by":"crossref","unstructured":"Long LN, Fang G (2010) A review of biologically plausible neuron models for spiking neural networks. In: Proceedings of AIAA InfoTech@ aerospace conference, Atlanta, GA, pp 2010\u20133540","DOI":"10.2514\/6.2010-3540"},{"key":"1364_CR21","unstructured":"Maass W (2002) Computation with spiking neurons. In: Arbib MA (ed) The handbook of brain theory and neural networks, 2nd edn. MIT Press, Cambridge, USA, pp 1080\u20131083"},{"key":"1364_CR22","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1162\/neco.1997.9.2.279","volume":"9","author":"W Maass","year":"1997","unstructured":"Maass W (1997b) Fast sigmoidal networks via spiking neurons. Neural Comput 9:279\u2013279","journal-title":"Neural Comput"},{"key":"1364_CR23","first-page":"1659","volume":"10","author":"W Maass","year":"1997","unstructured":"Maass W (1997a) Networks of spiking neurons: the third generation of neural network models. Neural Netw Comput Vis Pattern Recognit 10:1659\u20131671","journal-title":"Neural Netw Comput Vis Pattern Recognit"},{"key":"1364_CR24","volume-title":"Pulsed neural networks","author":"W Maass","year":"1999","unstructured":"Maass W, Bishop CM (1999) Pulsed neural networks. MIT Press, Cambridge"},{"key":"1364_CR25","doi-asserted-by":"crossref","unstructured":"Meftah B, Lezoray O, Benyettou A (2010) Segmentation and edge detection based on spiking neural network model. Neural Process Lett. doi: 10.1007\/s11063-010-9149-6","DOI":"10.1007\/s11063-010-9149-6"},{"key":"1364_CR26","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1148\/radiology.218.2.r01fe44586","volume":"218","author":"R Michael","year":"2001","unstructured":"Michael R, Kaus Simon K, Warfield Nabavi A, Peter M, Ferenc A, Kikinis R (2001) Automated segmentation of MR images of brain tumors. Radiology 218:586\u2013591","journal-title":"Radiology"},{"key":"1364_CR27","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1007\/s10015-011-0956-2","volume":"16","author":"N Mizoguchi","year":"2011","unstructured":"Mizoguchi N, Nagamatsu Y, Aihara K, Kohno T (2011) A two-variable silicon neuron circuit based on the Izhikevich model. Artif Life Robot 16:383\u2013388","journal-title":"Artif Life Robot"},{"key":"1364_CR28","doi-asserted-by":"crossref","first-page":"413","DOI":"10.2528\/PIER10122203","volume":"113","author":"M O\u2019Halloran","year":"2011","unstructured":"O\u2019Halloran M, McGinley B, Conceicao RC, Morgan F, Jones E, Glavin M (2011) Spiking neural networks for breast cancer classification in a dielectrically heterogeneous breast. Prog Electromagn Res 113:413\u2013428","journal-title":"Prog Electromagn Res"},{"key":"1364_CR29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/09540090500132385","volume":"18","author":"C Panchev","year":"2006","unstructured":"Panchev C, Wermter S (2006) Temporal sequence detection with spiking neurons: towards recognizing robot language instruction. Connect Sci 18:1\u201322","journal-title":"Connect Sci"},{"issue":"12","key":"1364_CR30","doi-asserted-by":"crossref","first-page":"1950","DOI":"10.1109\/TNN.2010.2083685","volume":"2","author":"A Russell","year":"2010","unstructured":"Russell A, Orchard G, Dong Y, Mihalas S, Niebur E, Tapson J, Etienne-Cummings R (2010) Optimization methods for spiking neurons and networks. IEEE Trans Neural Netw 2(12):1950\u20131962","journal-title":"IEEE Trans Neural Netw"},{"key":"1364_CR31","unstructured":"Sivanandam SN, Deepa SN (2005) Introduction to soft computing, 2nd edn. Wiley Publishers, New Delhi"},{"key":"1364_CR32","unstructured":"Stromatias E (2011) Developing a supervised training algorithm for limited precision feed-forward spiking neural networks. MS Thesis, University of Liverpool"},{"key":"1364_CR33","doi-asserted-by":"crossref","unstructured":"Vazquez RA (2010a) Pattern recognition using spiking neurons and firing rates. In: Kuri-Morales A, Simari GR (eds) IBERAMIA 2010. LNCS, vol 6433, pp 423\u2013432","DOI":"10.1007\/978-3-642-16952-6_43"},{"key":"1364_CR34","doi-asserted-by":"crossref","unstructured":"Vazquez RA, Garro BA (2011)Training spiking neurons by means of particle swarm optimization. In: Proceedings of ICSI 2011, Part I. LNCS, vol 6728, pp 242\u2013249","DOI":"10.1007\/978-3-642-21515-5_29"},{"key":"1364_CR35","first-page":"35","volume":"11","author":"RA Vazquez","year":"2010","unstructured":"Vazquez RA (2010b) Izhikevich neuron model and its application in pattern recognition. Aust J Intell Inf Process Syst 11:35\u201340","journal-title":"Aust J Intell Inf Process Syst"},{"issue":"10","key":"1364_CR36","first-page":"2055","volume":"71","author":"QX Wu","year":"2008","unstructured":"Wu QX, McGinnity M, Maguire LP, Belatreche A, Glackin B (2008) Processing visual stimuli using hierarchical spiking neural networks. Neurocomputing 71(10):2055\u20132068","journal-title":"Neurocomputing"},{"key":"1364_CR37","doi-asserted-by":"crossref","unstructured":"Wysoski SG, Benuskova L, Kasabov N (2007) Text-independent speaker authentication with spiking neural networks. In: Proceedings of international conference on artificial neural networks, Porto, Portugal, pp 758\u2013767","DOI":"10.1007\/978-3-540-74695-9_78"},{"key":"1364_CR38","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s11682-011-9142-3","volume":"6","author":"J Zhang","year":"2012","unstructured":"Zhang J, Yu C, Jiang G, Liu W, Tong L (2012) 3D texture analysis on MRI images of Alzheimer\u2019s disease. Brain Imaging Behav 6:61\u201369","journal-title":"Brain Imaging Behav"},{"issue":"5","key":"1364_CR39","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1109\/TNNLS.2012.2187539","volume":"23","author":"L Zhi","year":"2012","unstructured":"Zhi L, Chen J, Molnar P, Behal A (2012) Weighted least-squares approach for identification of a reduced-order adaptive neuronal model. IEEE Trans Neural Netw Learn Syst 23(5):834\u2013840","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1364_CR40","doi-asserted-by":"crossref","unstructured":"Zucker SW, Hummel RA (1981) A 3D edge operator. IEEE Trans Pattern Analysis 3:324\u2013331","DOI":"10.1109\/TPAMI.1981.4767105"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-014-1364-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-014-1364-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-014-1364-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,13]],"date-time":"2019-08-13T04:06:20Z","timestamp":1565669180000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-014-1364-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7,25]]},"references-count":40,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2015,7]]}},"alternative-id":["1364"],"URL":"https:\/\/doi.org\/10.1007\/s00500-014-1364-z","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,7,25]]}}}