{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T15:29:08Z","timestamp":1770996548973,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1005498","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2017,5,8]],"date-time":"2017-05-08T00:00:00Z","timestamp":1494201600000}}],"reference-count":48,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T00:00:00Z","timestamp":1492992000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1005498","type":"journal-article","created":{"date-parts":[[2017,4,24]],"date-time":"2017-04-24T13:32:12Z","timestamp":1493040732000},"page":"e1005498","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":66,"title":["Intrinsically-generated fluctuating activity in excitatory-inhibitory networks"],"prefix":"10.1371","volume":"13","author":[{"given":"Francesca","family":"Mastrogiuseppe","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srdjan","family":"Ostojic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2017,4,24]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1103\/PhysRevLett.61.259","article-title":"Chaos in random neural networks","volume":"61","author":"H. Sompolinsky","year":"1988","journal-title":"Phys. Rev. Lett"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"3717","DOI":"10.1103\/PhysRevLett.69.3717","article-title":"Suppressing chaos in neural networks by noise","volume":"69","author":"L. Molgedey","year":"1992","journal-title":"Phys. Rev. Lett"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/0167-2789(94)90024-8","article-title":"Mean-field equations, bifurcation map and route to chaos in discrete time neural networks","volume":"74","author":"B. Cessac","year":"1994","journal-title":"Physica D: Nonlinear Phenomena"},{"key":"ref4","first-page":"549","article-title":"Destabilization and route to chaos in neural networks with random connectivity","volume":"5","author":"B. Doyon","year":"1993","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1038\/nrn2558","article-title":"State-dependent computations: spatiotemporal processing in cortical networks","volume":"10","author":"D. V. Buonomano","year":"2009","journal-title":"Nature Review Neuroscience"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1016\/j.neuron.2009.07.018","article-title":"Generating coherent patterns of activity from chaotic neural networks","volume":"63","author":"D. Sussillo","year":"2009","journal-title":"Neuron"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1038\/nn.3405","article-title":"Robust timing and motor patterns by taming chaos in recurrent neural networks","volume":"16","author":"R. Laje","year":"2013","journal-title":"Nature Neuroscience"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1162\/NECO_a_00409","article-title":"Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks","volume":"5-3","author":"D. Sussillo","year":"2013","journal-title":"Neural Comput"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"118101","DOI":"10.1103\/PhysRevLett.110.118101","article-title":"Topological and dynamical complexity of random neural networks","volume":"110","author":"G. Wainrib","year":"2013","journal-title":"Phys. Rev. Lett"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"051908","DOI":"10.1103\/PhysRevE.84.051908","article-title":"Beyond the edge of chaos: amplification and temporal integration by recurrent networks in the chaotic regime","volume":"84","author":"T. Toyoizumi","year":"2011","journal-title":"Phys. Rev. E"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"011903","DOI":"10.1103\/PhysRevE.82.011903","article-title":"Stimulus-dependent suppression of chaos in recurrent neural networks","volume":"82","author":"K. Rajan","year":"2010","journal-title":"Phys. Rev. E"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"088101","DOI":"10.1103\/PhysRevLett.114.088101","article-title":"Transition to chaos in random networks with cell-type-specific connectivity","volume":"114","author":"J. Aljadeff","year":"2015","journal-title":"Phys. Rev. Lett"},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"J. Aljadeff, D. Renfrew, M. Vague, T. O. Sharpee, <italic>On the low dimensional dynamics of structured random networks<\/italic>, arXiv:1509.02546 [cond-mat.dis-nn] (2015)","DOI":"10.1103\/PhysRevE.93.022302"},{"key":"ref14","doi-asserted-by":"publisher","first-page":"062710","DOI":"10.1103\/PhysRevE.90.062710","article-title":"Dynamics of random neural networks with bistable units","volume":"90","author":"M. Stern","year":"2014","journal-title":"Phys. Rev. E"},{"key":"ref15","unstructured":"S. Goedeke, J. Schuecker, M. Helias, <italic>Noise dynamically suppresses chaos in random neural networks<\/italic>, arXiv:1603.01880 (2016)"},{"key":"ref16","first-page":"04103","article-title":"Transition to chaos in random neuronal networks","volume":"5","author":"J. Kadmon","year":"2015","journal-title":"Phys. Rev. X"},{"issue":"7","key":"ref17","doi-asserted-by":"publisher","first-page":"e1004266","DOI":"10.1371\/journal.pcbi.1004266","article-title":"Asynchronous rate chaos in spiking neuronal circuits","volume":"11","author":"O. Harish","year":"2015","journal-title":"PLOS Comput. Biol"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1023\/A:1008925309027","article-title":"Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons","volume":"8","author":"N. Brunel","year":"2000","journal-title":"Journal of Computational Neuroscience"},{"key":"ref19","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1038\/nn.3658","article-title":"Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons","volume":"17","author":"S. Ostojic","year":"2014","journal-title":"Nature Neuroscience"},{"key":"ref20","doi-asserted-by":"publisher","unstructured":"R. Engelken, F. Farkhooi, D. Hansel, C. van Vreeswijk, F. Wolf, <italic>Comment on \u201cTwo types of asynchronous activity in networks of excitatory and inhibitory spiking neurons\u201d<\/italic>, bioRxiv, <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/dx.doi.org\/10.1101\/017798\" xlink:type=\"simple\">http:\/\/dx.doi.org\/10.1101\/017798<\/ext-link> (2015)","DOI":"10.1101\/017798"},{"key":"ref21","doi-asserted-by":"publisher","unstructured":"S. Ostojic, <italic>Response to Comment on \u201cTwo types of asynchronous activity in networks of excitatory and inhibitory spiking neurons\u201d<\/italic>, bioRxiv, <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/dx.doi.org\/10.1101\/020354\" xlink:type=\"simple\">http:\/\/dx.doi.org\/10.1101\/020354<\/ext-link> (2015)","DOI":"10.1101\/020354"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"011909","DOI":"10.1103\/PhysRevE.86.011909","article-title":"Non-normal amplification in random balanced neuronal networks","volume":"86","author":"G. Hennequin","year":"2012","journal-title":"Physical Review E"},{"key":"ref23","doi-asserted-by":"publisher","first-page":"1394","DOI":"10.1016\/j.neuron.2014.04.045","article-title":"Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements","volume":"82","author":"G. Hennequin","year":"2014","journal-title":"Neuron"},{"key":"ref24","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1162\/neco.1997.9.5.971","article-title":"Physiological Gain Leads to High ISI Variability in a Simple Mo del of a Cortical Regular Spiking Cell","volume":"9","author":"T. W. Troyer","year":"1997","journal-title":"Neural Computation"},{"key":"ref25","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1016\/j.neuron.2009.02.005","article-title":"Balanced amplification: a new mechanism of selective amplification of neural activity patterns","volume":"61","author":"B. K. Murphy","year":"2009","journal-title":"Neuron"},{"key":"ref26","doi-asserted-by":"publisher","first-page":"1994","DOI":"10.1162\/NECO_a_00472","article-title":"Analysis of the stabilized supralinear network","volume":"25- 8","author":"Y. Ahmadian","year":"2013","journal-title":"Neural Computation"},{"key":"ref27","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1016\/j.neuron.2014.12.026","article-title":"The stabilized supralinear network: a unifying circuit motif underlying multi-input integration in sensory cortex","volume":"85","author":"D. B. Rubin","year":"2015","journal-title":"Neuron"},{"key":"ref28","article-title":"Sarat Book House","author":"S. H. Strogatz","year":"2007"},{"key":"ref29","doi-asserted-by":"publisher","first-page":"188104","DOI":"10.1103\/PhysRevLett.97.188104","article-title":"Eigenvalue spectra of random matrices for neural networks","volume":"97","author":"K. Rajan","year":"2006","journal-title":"Phys. Rev. Lett"},{"issue":"5","key":"ref30","doi-asserted-by":"publisher","first-page":"2023","DOI":"10.1214\/10-AOP534","article-title":"Random matrices: Universality of ESDs and the circular law","volume":"38","author":"T. Tao","year":"2010","journal-title":"The Annals of Probability"},{"key":"ref31","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/s00440-011-0397-9","article-title":"Outliers in the spectrum of iid matrices with bounded rank perturbations","volume":"155","author":"T. Tao","year":"2013","journal-title":"Probab. Theory Related Fields"},{"key":"ref32","doi-asserted-by":"publisher","first-page":"6860","DOI":"10.1103\/PhysRevB.25.6860","article-title":"Relaxational dynamics of the Edwards-Anderson model and the mean-field theory of spin-glasses","volume":"25","author":"H. Sompolinsky","year":"1982","journal-title":"Phys. Rev. B"},{"issue":"4","key":"ref33","first-page":"455","article-title":"Large deviations for Langevin spin glass dynamics","volume":"102","author":"G. Ben Arous","year":"1995","journal-title":"The Annals of Probability"},{"key":"ref34","article-title":"Eigenvalues of block structured asymmetric random matrices","author":"J. Aljadeff","year":"2015","journal-title":"Journal of Mathematical Physics"},{"key":"ref35","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1103\/PhysRev.81.617","article-title":"On the 1st passage time probability problem","volume":"81","author":"A. Siegert","year":"1951","journal-title":"Phys. Rev"},{"key":"ref36","doi-asserted-by":"publisher","first-page":"1621","DOI":"10.1162\/089976699300016179","article-title":"Fast global oscillations in networks of integrate-and-fire neurons with low firing rates","volume":"11","author":"N. Brunel","year":"1999","journal-title":"Neural Comput"},{"issue":"1","key":"ref37","doi-asserted-by":"publisher","first-page":"e1001056","DOI":"10.1371\/journal.pcbi.1001056","article-title":"From Spiking Neuron Models to Linear-Nonlinear Models","volume":"7","author":"S. Ostojic","year":"2011","journal-title":"PLoS Comput. Biol"},{"issue":"10","key":"ref38","doi-asserted-by":"publisher","first-page":"e1003301","DOI":"10.1371\/journal.pcbi.1003301","article-title":"A Complex-Valued Firing-Rate Model That Approximates the Dynamics of Spiking Networks","volume":"9","author":"E. S. Schaffer","year":"2013","journal-title":"PLoS Comput. Biol"},{"issue":"3","key":"ref39","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1093\/cercor\/7.3.237","article-title":"Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex","volume":"7","author":"D. J. Amit","year":"1997","journal-title":"Cereb. Cortex"},{"key":"ref40","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1152\/jn.00830.2010","article-title":"Interspike interval distributions of spiking neurons driven by fluctuating inputs","volume":"106","author":"S. Ostojic","year":"2011","journal-title":"J. Neurophysiol"},{"key":"ref41","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1007\/s10827-013-0481-5","article-title":"How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes?","volume":"36","author":"A. Grabska-Barwinska","year":"2014","journal-title":"J. Comput. Neurosci"},{"key":"ref42","doi-asserted-by":"publisher","first-page":"2186","DOI":"10.1103\/PhysRevLett.86.2186","article-title":"Effects of synaptic noise and filtering on the frequency response of spiking neurons","volume":"86","author":"N Brunel","year":"2001","journal-title":"Phys Rev Lett"},{"key":"ref43","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1162\/08997660360675053","article-title":"Rate models for conductance-based cortical neuronal networks","volume":"15","author":"O. Shriki","year":"2003","journal-title":"Neural Comput"},{"key":"ref44","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1080\/09548980500444933","article-title":"Mean field theory for a balanced hypercolumn model of orientation selectivity in primary visual cortex","volume":"17","author":"A. Lerchner","year":"2006","journal-title":"Network: Computation in Neural Systems"},{"key":"ref45","doi-asserted-by":"publisher","first-page":"104","DOI":"10.3389\/fncom.2014.00104","article-title":"Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity","volume":"8","author":"B. Dummer","year":"2014","journal-title":"Frontiers in Computational Neuroscience"},{"key":"ref46","doi-asserted-by":"publisher","first-page":"040901","DOI":"10.1103\/PhysRevE.92.040901","article-title":"Slow fluctuations in recurrent networks of spiking neurons","volume":"92","author":"S. Wieland","year":"2015","journal-title":"Phys. Rev. E"},{"issue":"8","key":"ref47","doi-asserted-by":"publisher","first-page":"e1002596","DOI":"10.1371\/journal.pcbi.1002596","article-title":"Decorrelation of Neural-Network Activity by Inhibitory Feedback","volume":"8","author":"T. Tetzlaff","year":"2012","journal-title":"PLoS Comput Biol"},{"key":"ref48","doi-asserted-by":"publisher","first-page":"031916","DOI":"10.1103\/PhysRevE.85.031916","article-title":"Recurrent interactions in spiking networks with arbitrary topology","volume":"85","author":"V. Pernice","year":"2012","journal-title":"Phys. Rev. E"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1005498","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2017,5,8]],"date-time":"2017-05-08T00:00:00Z","timestamp":1494201600000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pcbi.1005498","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,21]],"date-time":"2019-09-21T15:34:08Z","timestamp":1569080048000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1005498"}},"subtitle":[],"editor":[{"given":"Peter E.","family":"Latham","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2017,4,24]]},"references-count":48,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2017,4,24]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1005498","relation":{"new_version":[{"id-type":"doi","id":"10.1371\/journal.pcbi.1005498","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4,24]]}}}