{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T01:01:16Z","timestamp":1767920476862,"version":"3.49.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"2","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Comput Neurosci"],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1007\/s10827-014-0537-1","type":"journal-article","created":{"date-parts":[[2014,11,14]],"date-time":"2014-11-14T11:01:34Z","timestamp":1415962894000},"page":"221-234","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances"],"prefix":"10.1007","volume":"38","author":[{"given":"Giseli","family":"de Sousa","sequence":"first","affiliation":[]},{"given":"Reinoud","family":"Maex","sequence":"additional","affiliation":[]},{"given":"Rod","family":"Adams","sequence":"additional","affiliation":[]},{"given":"Neil","family":"Davey","sequence":"additional","affiliation":[]},{"given":"Volker","family":"Steuber","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,11,8]]},"reference":[{"key":"537_CR1","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1038\/30505","volume":"393","author":"H Agmon-Snir","year":"1998","unstructured":"Agmon-Snir, H., Carr, C.E., Rinzel, J. (1998). The role of dendrites in auditory coincidence detection. Nature, 393, 268\u2013272.","journal-title":"Nature"},{"key":"537_CR2","doi-asserted-by":"crossref","unstructured":"Carnevale, N., & Hines, M. (2006). The NEURON Book: Cambridge University Press.","DOI":"10.1017\/CBO9780511541612"},{"key":"537_CR3","doi-asserted-by":"crossref","unstructured":"Caz\u00e9, R.D., Humphries, M., Gutkin, B. (2013). Passive dendrites enable single neurons to compute linearly non-separable functions. PLoS Comput Biology, 9, e1002867.","DOI":"10.1371\/journal.pcbi.1002867"},{"key":"537_CR4","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1038\/nature02442","volume":"428","author":"P Chadderton","year":"2004","unstructured":"Chadderton, P., Margrie, T.W., Hausser, M. (2004). Integration of quanta in cerebellar granule cells during sensory processing. Nature, 428, 856\u2013860.","journal-title":"Nature"},{"key":"537_CR5","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1038\/nn.2799","volume":"14","author":"JL Chen","year":"2011","unstructured":"Chen, J.L., Lin, W.C., Cha, J.W., So, P.T., Kubota, Y., Nedivi, E. (2011). Structural basis for the role of inhibition in facilitating adult brain plasticity. Nat Neurosci, 14, 587\u2013594.","journal-title":"Nat Neurosci"},{"key":"537_CR6","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1186\/1742-4682-4-21","volume":"4","author":"H Cuntz","year":"2007","unstructured":"Cuntz, H., Borst, A., Segev, I. (2007). Optimization principles of dendritic structure. Theoretical Biology and Medical Modelling, 4, 21.","journal-title":"Theoretical Biology and Medical Modelling"},{"key":"537_CR7","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1007\/BF00206223","volume":"65","author":"P Dayan","year":"1991","unstructured":"Dayan, P., & Willshaw, D.J. (1991). Optimising synaptic learning rules in linear associative memories. Biol Cybern, 65, 253\u2013 265.","journal-title":"Biol Cybern"},{"key":"537_CR8","first-page":"355","volume-title":"Artificial Neural Networks and Machine Learning - ICANN 2012 Vol. 7552 of Lecture Notes in Computer Science","author":"G de Sousa","year":"2012","unstructured":"de Sousa, G., Maex, R., Adams, R., Davey, N., Steuber, V. (2012). Evolving dendritic morphology and parameters in biologically realistic model neurons for pattern recognition In Villa, A., Duch , W., \u00c9rdi, P., Masulli, F., Palm, G. (Eds.), Artificial Neural Networks and Machine Learning - ICANN 2012 Vol. 7552 of Lecture Notes in Computer Science, (pp. 355\u2013362). Heidelberg: Springer Berlin."},{"key":"537_CR9","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1016\/j.cub.2005.05.056","volume":"15","author":"AA Faisal","year":"2005","unstructured":"Faisal, A.A., White, J.A., Laughlin, S.B. (2005). Ion-channel noise places limits on the miniaturization of the brain\u2019s wiring. Curr Biol, 15, 1143\u20131149.","journal-title":"Curr Biol"},{"key":"537_CR10","doi-asserted-by":"crossref","first-page":"1948","DOI":"10.1152\/jn.1997.78.4.1948","volume":"78","author":"JF Fohlmeister","year":"1997","unstructured":"Fohlmeister, J.F., & Miller, R.F. (1997). Mechanisms by which cell geometry controls repetitive firing. Journal of Neurophysiology, 78, 1948\u20131964.","journal-title":"Journal of Neurophysiology"},{"key":"537_CR11","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1080\/net.12.4.473.492","volume":"12","author":"BP Graham","year":"2001","unstructured":"Graham, B.P. (2001). Pattern recognition in a compartmental model of a CA1 pyramidal neuron. Network: Computation in Neural Systems, 12, 473\u2013492.","journal-title":"Network: Computation in Neural Systems"},{"key":"537_CR12","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1002\/neu.20144","volume":"64","author":"AT Gulledge","year":"2005","unstructured":"Gulledge, A.T., Kampa, B.M., Stuart, G.J. (2005). Synaptic integration in dendritic trees. Journal of Neurobiology, 64, 75\u201390.","journal-title":"Journal of Neurobiology"},{"key":"537_CR13","doi-asserted-by":"crossref","first-page":"44","DOI":"10.2307\/1426329","volume":"3","author":"EF Harding","year":"1971","unstructured":"Harding, E.F. (1971). The probabilities of rooted tree-shapes generated by random bifurcation. Advances in Applied Probability, 3, 44\u201377.","journal-title":"Advances in Applied Probability"},{"key":"537_CR14","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1162\/neco.1997.9.6.1179","volume":"9","author":"ML Hines","year":"1997","unstructured":"Hines, M.L., & Carnevale, N.T. (1997). The NEURON simulation environment. Neural Computation, 9, 1179\u20131209.","journal-title":"Neural Computation"},{"key":"537_CR15","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/S0006-8993(02)02488-5","volume":"941","author":"JL Krichmar","year":"2002","unstructured":"Krichmar, J.L., Nasuto, S.J., Scorcioni, R., Washington, S.D., Ascoli, G.A. (2002). Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study. Brain Research, 941, 11\u201328.","journal-title":"Brain Research"},{"key":"537_CR16","doi-asserted-by":"crossref","first-page":"10787","DOI":"10.1523\/JNEUROSCI.5684-10.2011","volume":"31","author":"R Legenstein","year":"2011","unstructured":"Legenstein, R., & Maass, W. (2011). Branch-specific plasticity enables self-organization of nonlinear computation in single neurons. The Journal of Neuroscience, 31, 10787\u201310802.","journal-title":"The Journal of Neuroscience"},{"key":"537_CR17","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1146\/annurev.neuro.28.061604.135703","volume":"28","author":"M London","year":"2005","unstructured":"London, M., & H\u00e4usser, M. (2005). Dendritic computation. Annual Review of Neuroscience, 28, 503\u2013532.","journal-title":"Annual Review of Neuroscience"},{"key":"537_CR18","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1038\/382363a0","volume":"382","author":"ZF Mainen","year":"1996","unstructured":"Mainen, Z.F., & Sejnowski, T.J. (1996). Influence of dendritic structure on firing pattern in model neocortical neurons. Nature, 382, 363\u2013366.","journal-title":"Nature"},{"key":"537_CR19","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1016\/S0896-6273(03)00148-X","volume":"37","author":"P Poirazi","year":"2003","unstructured":"Poirazi, P., Brannon, T., Mel, B.W. (2003a). Arithmetic of subthreshold synaptic summation in a model CA1 pyramidal cell. Neuron, 37, 977\u2013987.","journal-title":"Neuron"},{"key":"537_CR20","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1016\/S0896-6273(03)00149-1","volume":"37","author":"P Poirazi","year":"2003","unstructured":"Poirazi, P., Brannon, T., Mel, B.W. (2003b). Pyramidal neuron as two-layer neural network. Neuron, 37, 989\u2013999.","journal-title":"Neuron"},{"key":"537_CR21","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1016\/S0896-6273(01)00252-5","volume":"29","author":"P Poirazi","year":"2001","unstructured":"Poirazi, P., & Mel, B.W. (2001). Impact of active dendrites and structural plasticity on the memory capacity of neural tissue. Neuron, 29, 779\u2013796.","journal-title":"Neuron"},{"key":"537_CR22","first-page":"73","volume-title":"Neural theory and modeling","author":"W Rall","year":"1964","unstructured":"Rall, W. (1964). Theoretical significance of dendritic trees for neuronal input-output relations In Reiss, R. (Ed.), Neural theory and modeling, (pp. 73\u201397). Stanford: Stanford University Press ."},{"key":"537_CR23","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.neuron.2007.03.015","volume":"54","author":"V Steuber","year":"2007","unstructured":"Steuber, V., Mittmann, W., Hoebeek, F.E., Silver, R.A., De Zeeuw, C.I., H\u00e4usser, M., De Schutter, E. (2007). Cerebellar LTD and pattern recognition by Purkinje cells. Neuron, 54, 121\u2013136.","journal-title":"Neuron"},{"key":"537_CR24","doi-asserted-by":"crossref","first-page":"e1000781","DOI":"10.1371\/journal.pcbi.1000781","volume":"6","author":"RAJ van Elburg","year":"2010","unstructured":"van Elburg, R.A.J., & van Ooyen, A. (2010). Impact of dendritic size and dendritic topology on burst firing in pyramidal cells. PLoS Comput Biol, 6, e1000781.","journal-title":"PLoS Comput Biol"},{"key":"537_CR25","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1088\/0954-898X\/13\/3\/304","volume":"13","author":"A van Ooyen","year":"2002","unstructured":"van Ooyen, A., Duijnhouwer, J., Remme, M., van Pelt, J. (2002). The effect of dendritic topology on firing patterns in model neurons. Network: Computation in Neural Systems, 13, 311\u2013325.","journal-title":"Network: Computation in Neural Systems"},{"key":"537_CR26","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1007\/BF02459919","volume":"47","author":"J van Pelt","year":"1985","unstructured":"van Pelt, J., & Verwer, R. (1985 ). Growth models (including terminal and segmental branching) for topological binary trees. Bulletin of Mathematical Biology, 47, 323\u2013336.","journal-title":"Bulletin of Mathematical Biology"},{"key":"537_CR27","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1007\/BF02459929","volume":"54","author":"J van Pelt","year":"1992","unstructured":"van Pelt, J., Uylings, H.B.M., Verwer, R.W.H., Pentney, R.J., Woldenberg, M.J. (1992). Tree asymmetry\u2013a sensitive and practical measure for binary topological trees. Bulletin of Mathematical Biology, 54, 759\u2013784.","journal-title":"Bulletin of Mathematical Biology"},{"key":"537_CR28","doi-asserted-by":"crossref","first-page":"2320","DOI":"10.1152\/jn.00280.2007","volume":"99","author":"Q Wen","year":"2008","unstructured":"Wen, Q., & Chklovskii, D.B. (2008). A cost-benefit analysis of neuronal morphology. Journal of Neurophysiology, 99, 2320\u20132328.","journal-title":"Journal of Neurophysiology"},{"key":"537_CR29","doi-asserted-by":"crossref","first-page":"12536","DOI":"10.1073\/pnas.0901530106","volume":"106","author":"Q Wen","year":"2009","unstructured":"Wen, Q., Stepanyants, A., Elston, G.N., Grosberg, A.Y., Chklovskii, D.B. (2009). Maximization of the connectivity repertoire as a statistical principle governing the shapes of dendritic arbors. Proceedings of the National Academy of Sciences of the USA, 106, 12536\u201312541.","journal-title":"Proceedings of the National Academy of Sciences of the USA"},{"key":"537_CR30","doi-asserted-by":"crossref","first-page":"960","DOI":"10.1038\/222960a0","volume":"222","author":"DJ Willshaw","year":"1969","unstructured":"Willshaw, D.J., Buneman, O.P., Longuet-Higgins, H.C. (1969). Non-holographic associative memory. Nature, 222, 960\u2013962.","journal-title":"Nature"}],"container-title":["Journal of Computational Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10827-014-0537-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,17]],"date-time":"2019-08-17T09:54:56Z","timestamp":1566035696000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10827-014-0537-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,11,8]]},"references-count":30,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015,4]]}},"alternative-id":["537"],"URL":"https:\/\/doi.org\/10.1007\/s10827-014-0537-1","relation":{},"ISSN":["0929-5313","1573-6873"],"issn-type":[{"value":"0929-5313","type":"print"},{"value":"1573-6873","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,11,8]]}}}