{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T12:15:43Z","timestamp":1769516143701,"version":"3.49.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"4-5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biol Cybern"],"published-print":{"date-parts":[[2008,11]]},"DOI":"10.1007\/s00422-008-0259-4","type":"journal-article","created":{"date-parts":[[2008,11,14]],"date-time":"2008-11-14T18:08:37Z","timestamp":1226686117000},"page":"361-370","source":"Crossref","is-referenced-by-count":63,"title":["Extracting non-linear integrate-and-fire models from experimental data using dynamic I\u2013V curves"],"prefix":"10.1007","volume":"99","author":[{"given":"Laurent","family":"Badel","sequence":"first","affiliation":[]},{"given":"Sandrine","family":"Lefort","sequence":"additional","affiliation":[]},{"given":"Thomas K.","family":"Berger","sequence":"additional","affiliation":[]},{"given":"Carl C. H.","family":"Petersen","sequence":"additional","affiliation":[]},{"given":"Wulfram","family":"Gerstner","sequence":"additional","affiliation":[]},{"given":"Magnus J. E.","family":"Richardson","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,11,15]]},"reference":[{"key":"259_CR1","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1152\/jn.01107.2007","volume":"99","author":"L Badel","year":"2008","unstructured":"Badel L, Lefort S, Brette R, Petersen CCH, Gerstner W, Richardson MJE (2008) Dynamic I\u2013V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. J. Neurophysiol. 99: 656\u2013666","journal-title":"J. Neurophysiol."},{"key":"259_CR2","doi-asserted-by":"crossref","first-page":"3637","DOI":"10.1152\/jn.00686.2005","volume":"94","author":"R Brette","year":"2005","unstructured":"Brette R, Gerstner W (2005) Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J. Neurophysiol. 94: 3637\u20133642","journal-title":"J. Neurophysiol."},{"key":"259_CR3","doi-asserted-by":"crossref","first-page":"1621","DOI":"10.1162\/089976699300016179","volume":"11","author":"N Brunel","year":"1999","unstructured":"Brunel N, Hakim V (1999) Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural Comput. 11: 1621\u20131671","journal-title":"Neural Comput."},{"key":"259_CR4","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1152\/jn.01095.2002","volume":"90","author":"N Brunel","year":"2003","unstructured":"Brunel N, Wang X-J (2003) What determines the frequency of fast network oscillations with irregular neural discharges. J. Neurophysiol. 90: 415\u2013430","journal-title":"J. Neurophysiol."},{"key":"259_CR5","doi-asserted-by":"crossref","unstructured":"Brunel N, Hakim V, Richardson MJE (2003) Firing-rate resonance in a generalized integrate-and-fire neuron with subthreshold resonance. Phys Rev E 67. article-no 051916","DOI":"10.1103\/PhysRevE.67.051916"},{"key":"259_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00422-006-0068-6","volume":"95","author":"AN Burkitt","year":"2006","unstructured":"Burkitt AN (2006a) A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input. Biol. Cybern. 95: 1\u201319","journal-title":"Biol. Cybern."},{"key":"259_CR7","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511815706","volume-title":"Spiking neuron models","author":"W Gerstner","year":"2002","unstructured":"Gerstner W, Kistler WM (2002) Spiking neuron models. Cambridge University Press, London"},{"key":"259_CR8","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1007\/s00422-006-0082-8","volume":"95","author":"AN Burkitt","year":"2006","unstructured":"Burkitt AN (2006b) A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties. Biol. Cybern. 95: 97\u2013112","journal-title":"Biol. Cybern."},{"key":"259_CR9","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1137\/0146017","volume":"46","author":"GB Ermentrout","year":"1986","unstructured":"Ermentrout GB, Kopell N (1986) Parabolic bursting in an excitable system coupled with a slow oscillation. SIAM J. Appl. Math. 46: 233\u2013253","journal-title":"SIAM J. Appl. Math."},{"key":"259_CR10","doi-asserted-by":"crossref","first-page":"11628","DOI":"10.1523\/JNEUROSCI.23-37-11628.2003","volume":"23","author":"N Fourcaud-Trocm\u00e9","year":"2003","unstructured":"Fourcaud-Trocm\u00e9 N, Hansel D, van Vresswijk C, Brunel N (2003) How spike generation mechanisms determine the neuronal response to fluctuating inputs. J. Neurosci. 23: 11628\u201311640","journal-title":"J. Neurosci."},{"key":"259_CR11","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1007\/s10827-005-0337-8","volume":"18","author":"N Fourcaud-Trocm\u00e9","year":"2005","unstructured":"Fourcaud-Trocm\u00e9 N, Brunel N (2005) Dynamics of the instantaneous firing rate in response to changes in input statistics. J. Comput. Neurosci. 18: 311\u2013321","journal-title":"J. Comput. Neurosci."},{"key":"259_CR12","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1103\/PhysRevLett.71.312","volume":"71","author":"W Gerstner","year":"1993","unstructured":"Gerstner W, van Hemmen JL (1993) Coherence and incoherence in a globally coupled ensemble of pulse-emitting units. Phys. Rev. Lett. 71: 312\u2013315","journal-title":"Phys. Rev. Lett."},{"key":"259_CR13","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1162\/089976600300015899","volume":"12","author":"W Gerstner","year":"2000","unstructured":"Gerstner W (2000) Population dynamics of spiking neurons: fast transients, asynchronous states and locking. Neural Comput. 12: 43\u201389","journal-title":"Neural Comput."},{"key":"259_CR14","unstructured":"Gigante G, Mattia M, Del Giudice P (2007) Diverse population-bursting modes of adapting spi king neurons. Phys. Rev.Lett. 98. article-no 148101"},{"key":"259_CR15","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1113\/jphysiol.1952.sp004764","volume":"117","author":"A Hodgkin","year":"1952","unstructured":"Hodgkin A, Huxley A (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117: 500\u2013544","journal-title":"J. Physiol."},{"key":"259_CR16","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1152\/jn.00079.2006","volume":"96","author":"QJM Huys","year":"2006","unstructured":"Huys QJM, Ahrens MB, Paninski L (2006) Efficient estimation of detailed single-neuron models. J. Neurophysiol. 96: 872\u2013890","journal-title":"J. Neurophysiol."},{"key":"259_CR17","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":"259_CR18","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.jneumeth.2007.11.006","volume":"169","author":"R Jolivet","year":"2008","unstructured":"Jolivet R, Kobayashi R, Rauch A, Naud R, Shinomoto S, Gerstner W (2008a) A benchmark test for a quantitative assessment of simple neuron models. J. Neurosci. Methods. 169: 417\u2013424","journal-title":"J. Neurosci. Methods."},{"key":"259_CR19","doi-asserted-by":"crossref","unstructured":"Jolivet R, Sch\u00fcrmann F, Berger TK, Naud R, Gerstner W, Roth A (2008b) The quantitative Single-Neuron Modeling Competition. Biological Cybernetics (in press). doi: 10.1007\/s00422-008-0261-x","DOI":"10.1007\/s00422-008-0261-x"},{"key":"259_CR20","volume-title":"Biophysics of computation","author":"C Koch","year":"1999","unstructured":"Koch C (1999) Biophysics of computation. Oxford University Press, New York"},{"key":"259_CR21","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/j.jtbi.2004.08.030","volume":"232","author":"B Lindner","year":"2005","unstructured":"Lindner B, Longtin A (2005) Effect of an exponentially decaying threshold on the firing statistics of a stochastic integrate-and-fire neuron. J. Theo. Biol. 232: 505\u2013521","journal-title":"J. Theo. Biol."},{"key":"259_CR22","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1038\/nrn1848","volume":"7","author":"H Markram","year":"2006","unstructured":"Markram H (2006) Blue brain project. Nat. Rev. Neurosci. 7: 153\u2013160","journal-title":"Nat. Rev. Neurosci."},{"key":"259_CR23","doi-asserted-by":"crossref","first-page":"E1","DOI":"10.1038\/nature05523","volume":"445","author":"DA McCormick","year":"2007","unstructured":"McCormick DA, Shu Y, Yu Y (2007) Hodgkin and Huxley model\u2014still standing. Nature 445: E1\u2013E2","journal-title":"Nature"},{"key":"259_CR24","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1038\/nature04610","volume":"440","author":"B Naundorf","year":"2006","unstructured":"Naundorf B, Wolf F, Volgushev M, (2006). Unique features of action potential initiation in cortical neurons. Nature 440: 1060\u20131063","journal-title":"Nature"},{"key":"259_CR25","doi-asserted-by":"crossref","first-page":"2538","DOI":"10.1152\/jn.00955.2002","volume":"89","author":"MJE Richardson","year":"2003","unstructured":"Richardson MJE, Brunel N, Hakim V (2003) From subthreshold to firing-rate resonance. J. Neurophysiol. 89: 2538\u20132554","journal-title":"J. Neurophysiol."},{"key":"259_CR26","unstructured":"Richardson MJE (2007) Firing-rate response of linear and non-linear integrate-and-fire neurons to modulated current-based and conductance-based synaptic drive. Phys. Rev. E 76. article-no 021919"},{"key":"259_CR27","doi-asserted-by":"crossref","unstructured":"Richardson MJE (2008) Spike-train spectra and network response functions for non-linear integrate-and-fire neurons. Biological Cybernetics (in press). doi: 10.1007\/s00422-008-0244-y","DOI":"10.1007\/s00422-008-0244-y"},{"key":"259_CR28","doi-asserted-by":"crossref","first-page":"6402","DOI":"10.1523\/JNEUROSCI.16-20-06402.1996","volume":"16","author":"XJ Wang","year":"1996","unstructured":"Wang XJ, Buzs\u00e1ki G (1996) Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model. J. Neurosci. 16: 6402\u20136413","journal-title":"J. Neurosci."}],"container-title":["Biological Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00422-008-0259-4.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,7]],"date-time":"2019-04-07T10:30:54Z","timestamp":1554633054000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00422-008-0259-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,11]]},"references-count":28,"journal-issue":{"issue":"4-5","published-print":{"date-parts":[[2008,11]]}},"alternative-id":["259"],"URL":"https:\/\/doi.org\/10.1007\/s00422-008-0259-4","relation":{},"ISSN":["0340-1200","1432-0770"],"issn-type":[{"value":"0340-1200","type":"print"},{"value":"1432-0770","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,11]]}}}