{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:43:01Z","timestamp":1767339781560,"version":"3.37.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319597720"},{"type":"electronic","value":"9783319597737"}],"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\/978-3-319-59773-7_4","type":"book-chapter","created":{"date-parts":[[2017,5,26]],"date-time":"2017-05-26T05:13:19Z","timestamp":1495775599000},"page":"32-41","source":"Crossref","is-referenced-by-count":3,"title":["Koniocortex-Like Network Unsupervised Learning Surpasses Supervised Results on WBCD Breast Cancer Database"],"prefix":"10.1007","author":[{"given":"J.","family":"Fombellida","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F. J.","family":"Ropero-Pel\u00e1ez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7036-2646","authenticated-orcid":false,"given":"D.","family":"Andina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,27]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/S0166-2236(96)80018-X","volume":"19","author":"WC Abraham","year":"1996","unstructured":"Abraham, W.C., Bear, M.F.: Metaplasticity: the plasticity of synaptic plasticity. Trends Neurosci. 19, 126\u2013130 (1996)","journal-title":"Trends Neurosci."},{"key":"4_CR2","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/S0301-0082(97)00018-X","volume":"52","author":"WC Abraham","year":"1997","unstructured":"Abraham, W.C., Tate, W.P.: Metaplasticity: a new vista across the field of synaptic plasticity. Prog. Neurobiol. 52, 303\u2013323 (1997)","journal-title":"Prog. Neurobiol."},{"issue":"4","key":"4_CR3","first-page":"681","volume":"15","author":"D Andina","year":"2009","unstructured":"Andina, D., Alvarez-Vellisco, A., Jevtic, A., Fombellida, J.: Artificial metaplasticity can improve artificial neural network learning. Intell. Autom. Soft Comput. Spec. Issue Sig. Process. Soft Comput. 15(4), 681\u2013694 (2009)","journal-title":"Intell. Autom. Soft Comput. Spec. Issue Sig. Process. Soft Comput."},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"Andina, D., Ropero-Pelaez, J.: On the biological plausibility of artificial metaplasticity learning algorithm. Neurocomputing (2012). \nhttp:\/\/dx.doi.org\/10.1016\/j.neucom.2012.09.028","DOI":"10.1016\/j.neucom.2012.09.028"},{"key":"4_CR5","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1038\/347069a0","volume":"347","author":"A Artola","year":"1990","unstructured":"Artola, A., Brocher, S., Singer, W.: Different voltage-dependent threshold for inducing long-term depression and long-term potentiation in slices of rat visual c\u00f3rtex. Nature 347, 69\u201372 (1990)","journal-title":"Nature"},{"issue":"4\u20136","key":"4_CR6","first-page":"391","volume":"97","author":"NS Desai","year":"2003","unstructured":"Desai, N.S.: Homeostatic plasticity in the CNS: synaptic and intrinsic forms. J. Physiol. 97(4\u20136), 391\u2013402 (2003)","journal-title":"J. Physiol."},{"key":"4_CR7","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1038\/9165","volume":"2","author":"NS Desai","year":"1999","unstructured":"Desai, N.S., Rutherford, L.C., Turrigiano, G.G.: Plasticity in the intrinsic excitability of cortical pyramidal neurons. Nat. Neurosci. 2, 515\u2013520 (1999)","journal-title":"Nat. Neurosci."},{"issue":"6571","key":"4_CR8","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1038\/380249a0","volume":"380","author":"D Ferster","year":"1996","unstructured":"Ferster, D., Chung, S., Wheat, H.: Orientation selectivity of thalamic input to simple cells of cat visual cortex. Nature 380(6571), 249\u2013252 (1996)","journal-title":"Nature"},{"issue":"1","key":"4_CR9","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1162\/neco.1997.9.1.77","volume":"9","author":"T Fukai","year":"1997","unstructured":"Fukai, T., Tanaka, S.: A simple neural network exhibiting selective activation of neuronal ensembles: from winner-take-all to winners-share-all. Neural Comput. 9(1), 77\u201397 (1997)","journal-title":"Neural Comput."},{"issue":"6\/7","key":"4_CR10","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1016\/S0893-6080(05)80154-6","volume":"7","author":"S Kaski","year":"1994","unstructured":"Kaski, S., Kohonen, T.: Winner-take-all networks for physiological models of competitive learning. Neural Netw. 7(6\/7), 973\u2013984 (1994)","journal-title":"Neural Netw."},{"key":"4_CR11","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TNN.2006.883724","volume":"18","author":"ZH Mao","year":"2007","unstructured":"Mao, Z.H., Massaquoi, S.G.: Dynamics of Winner-Take-All competition in recurrent neural networks with lateral inhibition. IEEE Trans. Neural Netw. 18, 55\u201369 (2007)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"8","key":"4_CR12","doi-asserted-by":"crossref","first-page":"1243","DOI":"10.1016\/j.neucom.2010.07.019","volume":"74","author":"A Marcano-Cede\u00f1o","year":"2011","unstructured":"Marcano-Cede\u00f1o, A., Quintanilla-Dominguez, J., Andina, D.: Breast cancer classification applying artificial metaplasticity algorithm. Neurocomputing 74(8), 1243\u20131250 (2011)","journal-title":"Neurocomputing"},{"key":"4_CR13","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/S0896-6273(00)80169-5","volume":"17","author":"KD Miller","year":"1996","unstructured":"Miller, K.D.: Synaptic economics: competition and cooperation in synaptic plasticity. Neuron 17, 371\u2013374 (1996)","journal-title":"Neuron"},{"key":"4_CR14","unstructured":"Quintanilla-Dominguez, J., Cortina-Januchs, M.G., Ojeda-Magaa, B., Jevtic, A., Vega-Corona, A., Andina, D.: Microcalcification detection applying artificial neural networks and mathematical morphology in digital mammograms. In: World Automation Congress (WAC) (2010)"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Ropero-Pel\u00e1ez, F.J., Andina, D.: Do biological synapses perform probabilistic computations? Neurocomputing (2012). \nhttp:\/\/dx.doi.org\/10.1016\/j.neucom.2012.08.042","DOI":"10.1016\/j.neucom.2012.08.042"},{"key":"4_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-319-18914-7_17","volume-title":"Artificial Computation in Biology and Medicine","author":"FJ Ropero-Pel\u00e1ez","year":"2015","unstructured":"Ropero-Pel\u00e1ez, F.J., Andina, D.: The Koniocortex-like network: a new biologically plausible unsupervised neural network. In: Ferr\u00e1ndez Vicente, J.M., \u00c1lvarez-S\u00e1nchez, J.R., de la Paz L\u00f3pez, F., Toledo-Moreo, F.J., Adeli, H. (eds.) IWINAC 2015. LNCS, vol. 9107, pp. 163\u2013174. Springer, Cham (2015). doi:\n10.1007\/978-3-319-18914-7_17"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Ropero-Pel\u00e1ez, F.J., Aguiar-Furucho, M.A., Andina, D.: Intrinsic plasticity for natural competition in Koniocortex-like neural networks. Int. J. Neural Syst. 26(5), 1650040 (2016). \nhttp:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065716500404","DOI":"10.1142\/S0129065716500404"},{"key":"4_CR18","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1109\/72.822521","volume":"11","author":"JF Yang","year":"2000","unstructured":"Yang, J.F., Chen, C.M.: Winner-Take-All neural network using the highest threshold. IEEE Trans. Neural Netw. 11, 194\u2013199 (2000)","journal-title":"IEEE Trans. Neural Netw."},{"key":"4_CR19","unstructured":"http:\/\/archive.ics.uci.edu\/ml\/datasets.html"}],"container-title":["Lecture Notes in Computer Science","Biomedical Applications Based on Natural and Artificial Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-59773-7_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,5,26]],"date-time":"2017-05-26T05:14:01Z","timestamp":1495775641000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-59773-7_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319597720","9783319597737"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-59773-7_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}