{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T11:07:02Z","timestamp":1774955222079,"version":"3.50.1"},"reference-count":25,"publisher":"MIT Press - Journals","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Computation"],"published-print":{"date-parts":[[2009,2]]},"abstract":"<jats:p> Lovelace and Cios ( 2008 ) recently proposed a very simple spiking neuron (VSSN) model for simulations of large neuronal networks as an efficient replacement for the integrate-and-fire neuron model. We argue that the VSSN model falls behind key advances in neuronal network modeling over the past 20 years, in particular, techniques that permit simulators to compute the state of the neuron without repeated summation over the history of input spikes and to integrate the subthreshold dynamics exactly. State-of-the-art solvers for networks of integrate-and-fire model neurons are substantially more efficient than the VSSN simulator and allow routine simulations of networks of some 10<jats:sup>5<\/jats:sup> neurons and 10<jats:sup>9<\/jats:sup> connections on moderate computer clusters. <\/jats:p>","DOI":"10.1162\/neco.2008.03-08-731","type":"journal-article","created":{"date-parts":[[2008,9,11]],"date-time":"2008-09-11T16:44:34Z","timestamp":1221151474000},"page":"353-359","source":"Crossref","is-referenced-by-count":16,"title":["Simplicity and Efficiency of Integrate-and-Fire Neuron Models"],"prefix":"10.1162","volume":"21","author":[{"given":"Hans E.","family":"Plesser","sequence":"first","affiliation":[{"name":"Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, 1432 Aas, Norway, and Theoretical Neuroscience Group, RIKEN Brain Science Institute, Wako-City, Saitama 351-0198, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Diesmann","sequence":"additional","affiliation":[{"name":"Theoretical Neuroscience Group, RIKEN Brain Science Institute, Wako City, Saitama 351-0198, Japan, and Bernstein Center for Computational Neuroscience, Albert-Ludwigs University, 79104 Freiburg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00197607"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.8.2004"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.10.2604"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1007\/s10827-007-0038-6"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008925309027"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1007\/s00422-006-0068-6"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1007\/s00422-006-0082-8"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1007\/s12021-007-0004-5"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1088\/0954-898X\/14\/4\/301"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.3389\/neuro.11.001.2008"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.4249\/scholarpedia.1430"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.11.2651"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017845"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0712231105"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2008.20.1.65"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-003-0358-z"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1007\/s10827-006-7949-5"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.6.1437"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.1.47"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74466-5_71"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1007\/s004220050570"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012885314187"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1993.5.2.200"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.12.3226"},{"key":"B28","first-page":"291","volume-title":"Methods in neuronalmodeling: From synapses to networks","author":"Wilson M. A.","year":"1989"}],"container-title":["Neural Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/neco.2008.03-08-731","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T21:36:34Z","timestamp":1615584994000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/direct.mit.edu\/neco\/article\/21\/2\/353-359\/8690"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,2]]},"references-count":25,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2009,2]]}},"alternative-id":["10.1162\/neco.2008.03-08-731"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1162\/neco.2008.03-08-731","relation":{},"ISSN":["0899-7667","1530-888X"],"issn-type":[{"value":"0899-7667","type":"print"},{"value":"1530-888X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,2]]}}}