{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:23:29Z","timestamp":1742952209074,"version":"3.40.3"},"publisher-location":"New York, NY","reference-count":10,"publisher":"Springer New York","isbn-type":[{"type":"electronic","value":"9781461473206"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"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":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-1-4614-7320-6_164-1","type":"book-chapter","created":{"date-parts":[[2014,10,2]],"date-time":"2014-10-02T02:13:53Z","timestamp":1412216033000},"page":"1-2","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid Parameter Optimization Methods"],"prefix":"10.1007","author":[{"given":"Werner","family":"Van Geit","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,4,8]]},"reference":[{"key":"164-1_CR1","doi-asserted-by":"publisher","first-page":"e94","DOI":"10.1371\/journal.pcbi.0020094","volume":"2","author":"P Achard","year":"2006","unstructured":"Achard P, De Schutter E (2006) Complex parameter landscape for a complex neuron model. PLoS Comput Biol 2:e94","journal-title":"PLoS Comput Biol"},{"key":"164-1_CR2","first-page":"31","volume-title":"Computational modeling methods for neuroscientists","author":"P Achard","year":"2010","unstructured":"Achard P, Van Geit W, LeMasson G (2010) Parameter Searching. In: De Schutter E (ed) Computational modeling methods for neuroscientists. MIT Press, Cambridge, pp 31\u201360"},{"issue":"1","key":"164-1_CR3","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3389\/neuro.01.1.1.001.2007","volume":"1","author":"S Druckmann","year":"2007","unstructured":"Druckmann S, Banitt Y, Gidon A, Sch\u00fcrmann F, Markram H, Segev I (2007) A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data. Front Neurosci 1(1):7","journal-title":"Front Neurosci"},{"issue":"7","key":"164-1_CR4","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1113\/jphysiol.2008.167130","volume":"587","author":"N Keren","year":"2009","unstructured":"Keren N, Bar-Yehuda D, Korngreen A (2009) Experimentally guided modelling of dendritic excitability in rat neocortical pyramidal neurones. J Physiol 587(7):1413\u20131437","journal-title":"J Physiol"},{"key":"164-1_CR5","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1007\/978-3-540-72950-1_67","volume-title":"Foundations of fuzzy logic and soft computing","author":"Y Maeda","year":"2007","unstructured":"Maeda Y, Li Q (2007) Fuzzy adaptive search method for parallel genetic algorithm tuned by evolution degree based on diversity measure. In: Castillo et al (eds) Foundations of fuzzy logic and soft computing. Springer, Berlin\/Heidelberg, pp 677\u2013687"},{"key":"164-1_CR6","doi-asserted-by":"crossref","unstructured":"Mitra A, Manitius A, Sauer T (2013) A new technique to optimize single neuron models using experimental spike train data. In: American control conference (ACC), IEEE, Washington, DC, pp 346\u2013351","DOI":"10.1109\/ACC.2013.6579861"},{"issue":"4","key":"164-1_CR7","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1093\/comjnl\/7.4.308","volume":"7","author":"JA Nelder","year":"1965","unstructured":"Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7(4):308\u2013313","journal-title":"Comput J"},{"key":"164-1_CR8","doi-asserted-by":"publisher","first-page":"3998","DOI":"10.1152\/jn.00641.2003","volume":"90","author":"AA Prinz","year":"2003","unstructured":"Prinz AA, Billimoria CP, Marder E (2003) Alternative to hand-tuning conductance-based models: construction and analysis of databases of model neurons. J Neurophysiol 90:3998\u20134015","journal-title":"J Neurophysiol"},{"issue":"7","key":"164-1_CR9","doi-asserted-by":"publisher","first-page":"1369","DOI":"10.1113\/jphysiol.2009.170944","volume":"587","author":"A Roth","year":"2009","unstructured":"Roth A, Bahl A (2009) Divide et impera: optimizing compartmental models of neurons step by step. J Physiol 587(7):1369\u20131370","journal-title":"J Physiol"},{"issue":"2","key":"164-1_CR10","first-page":"88","volume":"4","author":"CG Vossou","year":"2007","unstructured":"Vossou CG, Koukoulis IN, Provatidis CG (2007) Genetic combined with a simplex algorithm as an efficient method for the detection of a depressed ellipsoidal flaw using the boundary element method. Int J Appl Math Comput Sci 4(2):88\u201393","journal-title":"Int J Appl Math Comput Sci"}],"container-title":["Encyclopedia of Computational Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4614-7320-6_164-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,20]],"date-time":"2023-01-20T23:52:15Z","timestamp":1674258735000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-4614-7320-6_164-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9781461473206"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-1-4614-7320-6_164-1","relation":{},"subject":[],"published":{"date-parts":[[2014]]},"assertion":[{"value":"20 March 2014, 08:44:30","order":1,"name":"received","label":"Received","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"20 March 2014, 08:44:30","order":2,"name":"accepted","label":"Accepted","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"8 April 2014","order":3,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}