| Year |
Citation |
Score |
| 2023 |
Anil S, Lu H, Rotter S, Vlachos A. Repetitive transcranial magnetic stimulation (rTMS) triggers dose-dependent homeostatic rewiring in recurrent neuronal networks. Plos Computational Biology. 19: e1011027. PMID 37956202 DOI: 10.1371/journal.pcbi.1011027 |
0.316 |
|
| 2023 |
Anil S, Lu H, Rotter S, Vlachos A. Repetitive transcranial magnetic stimulation (rTMS) triggers dose-dependent homeostatic rewiring in recurrent neuronal networks. Biorxiv : the Preprint Server For Biology. PMID 36993387 DOI: 10.1101/2023.03.20.533396 |
0.322 |
|
| 2023 |
Klingner CM, Denker M, Grün S, Hanke M, Oeltze-Jafra S, Ohl FW, Radny J, Rotter S, Scherberger H, Stein A, Wachtler T, Witte OW, Ritter P. Research Data Management and Data Sharing for Reproducible Research - Results of a Community Survey of the German National Research Data Infrastructure Initiative Neuroscience. Eneuro. PMID 36750361 DOI: 10.1523/ENEURO.0215-22.2023 |
0.65 |
|
| 2021 |
Spreizer S, Senk J, Rotter S, Diesmann M, Weyers B. NEST Desktop, an Educational Application for Neuroscience. Eneuro. 8. PMID 34764188 DOI: 10.1523/ENEURO.0274-21.2021 |
0.774 |
|
| 2021 |
Nejad MM, Rotter S, Schmidt R. Basal ganglia and cortical control of thalamic rebound spikes. The European Journal of Neuroscience. PMID 33914390 DOI: 10.1111/ejn.15258 |
0.354 |
|
| 2019 |
Lagzi F, Atay FM, Rotter S. Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network. Scientific Reports. 9: 11397. PMID 31388027 DOI: 10.1038/s41598-019-47190-9 |
0.588 |
|
| 2019 |
Merkt B, Schüßler F, Rotter S. Propagation of orientation selectivity in a spiking network model of layered primary visual cortex. Plos Computational Biology. 15: e1007080. PMID 31323031 DOI: 10.1371/journal.pcbi.1007080 |
0.514 |
|
| 2018 |
Lennartz C, Schiefer J, Rotter S, Hennig J, LeVan P. Sparse Estimation of Resting-State Effective Connectivity From fMRI Cross-Spectra. Frontiers in Neuroscience. 12: 287. PMID 29867310 DOI: 10.3389/fnins.2018.00287 |
0.395 |
|
| 2018 |
Buccino AP, Kordovan M, Bækø Ness TV, Merkt B, Häfliger PD, Fyhn M, Cauwenberghs G, Rotter S, Einevoll GT. Combining biophysical modeling and deep learning for multi-electrode array neuron localization and classification. Journal of Neurophysiology. PMID 29847231 DOI: 10.1152/Jn.00210.2018 |
0.498 |
|
| 2018 |
Schiefer J, Niederbühl A, Pernice V, Lennartz C, Hennig J, LeVan P, Rotter S. From correlation to causation: Estimating effective connectivity from zero-lag covariances of brain signals. Plos Computational Biology. 14: e1006056. PMID 29579045 DOI: 10.1371/journal.pcbi.1006056 |
0.483 |
|
| 2018 |
Gallinaro JV, Rotter S. Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks. Scientific Reports. 8: 3754. PMID 29491474 DOI: 10.1038/s41598-018-22077-3 |
0.606 |
|
| 2017 |
Deniz T, Rotter S. Solving the two-dimensional Fokker-Planck equation for strongly correlated neurons. Physical Review. E. 95: 012412. PMID 28208505 DOI: 10.1103/PhysRevE.95.012412 |
0.516 |
|
| 2017 |
Deniz T, Rotter S. Joint statistics of strongly correlated neurons via dimensionality reduction Journal of Physics A. 50: 254002. DOI: 10.1088/1751-8121/Aa677E |
0.538 |
|
| 2016 |
Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Rotter S, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6 |
0.737 |
|
| 2016 |
Jovanović S, Rotter S. Interplay between Graph Topology and Correlations of Third Order in Spiking Neuronal Networks. Plos Computational Biology. 12: e1004963. PMID 27271768 DOI: 10.1371/journal.pcbi.1004963 |
0.48 |
|
| 2015 |
Lagzi F, Rotter S. Dynamics of Competition between Subnetworks of Spiking Neuronal Networks in the Balanced State. Plos One. 10: e0138947. PMID 26407178 DOI: 10.1371/journal.pone.0138947 |
0.541 |
|
| 2015 |
Sadeh S, Clopath C, Rotter S. Correction: Processing of Feature Selectivity in Cortical Networks with Specific Connectivity. Plos One. 10: e0134775. PMID 26230257 DOI: 10.1371/journal.pone.0134775 |
0.324 |
|
| 2015 |
Sadeh S, Clopath C, Rotter S. Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity. Plos Computational Biology. 11: e1004307. PMID 26090844 DOI: 10.1371/journal.pcbi.1004307 |
0.59 |
|
| 2015 |
Sadeh S, Clopath C, Rotter S. Processing of Feature Selectivity in Cortical Networks with Specific Connectivity. Plos One. 10: e0127547. PMID 26083363 DOI: 10.1371/journal.pone.0127547 |
0.534 |
|
| 2015 |
Sadeh S, Rotter S. Orientation selectivity in inhibition-dominated networks of spiking neurons: effect of single neuron properties and network dynamics. Plos Computational Biology. 11: e1004045. PMID 25569445 DOI: 10.1371/journal.pcbi.1004045 |
0.6 |
|
| 2015 |
Sadeh S, Rotter S. Population responses of the same PIF network with stronger inhibition. Plos Computational Biology. DOI: 10.1371/Journal.Pcbi.1004045.G002 |
0.428 |
|
| 2015 |
Lagzi F, Rotter S. Dynamics of competition between coupled spiking networks in the balanced state Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P211 |
0.521 |
|
| 2014 |
Lagzi F, Rotter S. A Markov model for the temporal dynamics of balanced random networks of finite size. Frontiers in Computational Neuroscience. 8: 142. PMID 25520644 DOI: 10.3389/fncom.2014.00142 |
0.478 |
|
| 2014 |
Sadeh S, Rotter S. Distribution of orientation selectivity in recurrent networks of spiking neurons with different random topologies. Plos One. 9: e114237. PMID 25469704 DOI: 10.1371/journal.pone.0114237 |
0.498 |
|
| 2014 |
Sadeh S, Cardanobile S, Rotter S. Mean-field analysis of orientation selectivity in inhibition-dominated networks of spiking neurons. Springerplus. 3: 148. PMID 24790806 DOI: 10.1186/2193-1801-3-148 |
0.442 |
|
| 2014 |
Yim MY, Kumar A, Aertsen A, Rotter S. Impact of correlated inputs to neurons: modeling observations from in vivo intracellular recordings. Journal of Computational Neuroscience. 37: 293-304. PMID 24789376 DOI: 10.1007/S10827-014-0502-Z |
0.783 |
|
| 2014 |
Yim MY, Kumar A, Aertsen A, Rotter S. Erratum to: Impact of correlated inputs to neurons: modeling observations from in vivo intracellular recordings Journal of Computational Neuroscience. 37: 305-305. DOI: 10.1007/S10827-014-0509-5 |
0.711 |
|
| 2013 |
Kriener B, Helias M, Rotter S, Diesmann M, Einevoll GT. How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. Frontiers in Computational Neuroscience. 7: 187. PMID 24501591 DOI: 10.1186/1471-2202-14-S1-P123 |
0.832 |
|
| 2013 |
Pernice V, Deger M, Cardanobile S, Rotter S. The relevance of network micro-structure for neural dynamics. Frontiers in Computational Neuroscience. 7: 72. PMID 23761758 DOI: 10.3389/fncom.2013.00072 |
0.534 |
|
| 2013 |
Reimer IC, Staude B, Boucsein C, Rotter S. A new method to infer higher-order spike correlations from membrane potentials. Journal of Computational Neuroscience. 35: 169-86. PMID 23474914 DOI: 10.1007/S10827-013-0446-8 |
0.48 |
|
| 2013 |
Deniz T, Rotter S. Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P332 |
0.512 |
|
| 2013 |
Lagzi F, Atay FM, Rotter S. Nonlinear dynamics of large-scale activity in "networks of networks" Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P331 |
0.447 |
|
| 2013 |
Deger M, Kumar A, Aertsen A, Rotter S. Linking neural mass signals and spike train statistics through point process and linear systems theory Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P330 |
0.776 |
|
| 2013 |
Yim MY, Aertsen A, Rotter S. Impact of intrinsic biophysical diversity on the activity of spiking neurons Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 87. DOI: 10.1103/PhysRevE.87.032710 |
0.731 |
|
| 2013 |
Pernice V, Rotter S. Reconstruction of sparse connectivity in neural networks from spike train covariances Journal of Statistical Mechanics: Theory and Experiment. 2013. DOI: 10.1088/1742-5468/2013/03/P03008 |
0.471 |
|
| 2012 |
Ambard M, Rotter S. Support vector machines for spike pattern classification with a leaky integrate-and-fire neuron. Frontiers in Computational Neuroscience. 6: 78. PMID 23181017 DOI: 10.3389/fncom.2012.00078 |
0.377 |
|
| 2012 |
Deger M, Helias M, Rotter S, Diesmann M. Spike-timing dependence of structural plasticity explains cooperative synapse formation in the neocortex. Plos Computational Biology. 8: e1002689. PMID 23028287 DOI: 10.1371/Journal.Pcbi.1002689 |
0.602 |
|
| 2012 |
Cardanobile S, Pernice V, Deger M, Rotter S. Inferring general relations between network characteristics from specific network ensembles. Plos One. 7: e37911. PMID 22701586 DOI: 10.1371/journal.pone.0037911 |
0.418 |
|
| 2012 |
Pernice V, Staude B, Cardanobile S, Rotter S. Recurrent interactions in spiking networks with arbitrary topology. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 85: 031916. PMID 22587132 DOI: 10.1103/Physreve.85.031916 |
0.539 |
|
| 2012 |
Reimer IC, Staude B, Ehm W, Rotter S. Modeling and analyzing higher-order correlations in non-Poissonian spike trains. Journal of Neuroscience Methods. 208: 18-33. PMID 22561088 DOI: 10.1016/J.Jneumeth.2012.04.015 |
0.473 |
|
| 2012 |
Deger M, Helias M, Boucsein C, Rotter S. Statistical properties of superimposed stationary spike trains. Journal of Computational Neuroscience. 32: 443-63. PMID 21964584 DOI: 10.1007/S10827-011-0362-8 |
0.483 |
|
| 2012 |
Deger M, Helias M, Rotter S. Effective generators for superpositions of non-Poissonian spike trains F1000research. 3. DOI: 10.7490/F1000Research.1092564.1 |
0.305 |
|
| 2012 |
Jarvs S, Okujeni S, Kandler S, Rotter S, Egert U. Axonal anisotropy and connectivity inhomogeneities in 2D networks Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P145 |
0.729 |
|
| 2012 |
Voges N, Aertsen A, Rotter S. Structural models of cortical networks with long-range connectivity Mathematical Problems in Engineering. 2012. DOI: 10.1155/2012/484812 |
0.711 |
|
| 2011 |
Cardanobile S, Rotter S. Emergent properties of interacting populations of spiking neurons. Frontiers in Computational Neuroscience. 5: 59. PMID 22207844 DOI: 10.3389/fncom.2011.00059 |
0.508 |
|
| 2011 |
Kumar A, Cardanobile S, Rotter S, Aertsen A. The role of inhibition in generating and controlling Parkinson's disease oscillations in the Basal Ganglia. Frontiers in Systems Neuroscience. 5: 86. PMID 22028684 DOI: 10.3389/Fnsys.2011.00086 |
0.717 |
|
| 2011 |
Braun DA, Aertsen A, Paz R, Vaadia E, Rotter S, Mehring C. Online adaptation and over-trial learning in macaque visuomotor control. Frontiers in Computational Neuroscience. 5: 27. PMID 21720526 DOI: 10.3389/Fncom.2011.00027 |
0.752 |
|
| 2011 |
Pernice V, Staude B, Cardanobile S, Rotter S. How structure determines correlations in neuronal networks. Plos Computational Biology. 7: e1002059. PMID 21625580 DOI: 10.1371/Journal.Pcbi.1002059 |
0.49 |
|
| 2011 |
Helias M, Deger M, Rotter S, Diesmann M. Finite post synaptic potentials cause a fast neuronal response. Frontiers in Neuroscience. 5: 19. PMID 21427776 DOI: 10.3389/Fnins.2011.00019 |
0.664 |
|
| 2011 |
Jarvis SJ, Rotter S, Egert U. Burst initiation and propagation in cortical cultures requires an inhomogeneous connectivity distribution and synaptic rescaling Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P85 |
0.756 |
|
| 2011 |
Deger M, Helias M, Boucsein C, Rotter S. Effective neuronal refractoriness dominates the statistics of superimposed spike trains Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P273 |
0.499 |
|
| 2011 |
Pernice V, Staude B, Cardanobile S, Rotter S. Effect of network structure on spike train correlations in networks of integrate-and-fire neurons Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P272 |
0.557 |
|
| 2010 |
Deger M, Helias M, Cardanobile S, Atay FM, Rotter S. Nonequilibrium dynamics of stochastic point processes with refractoriness. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 82: 021129. PMID 20866797 DOI: 10.1103/Physreve.82.021129 |
0.319 |
|
| 2010 |
Helias M, Deger M, Rotter S, Diesmann M. Instantaneous non-linear processing by pulse-coupled threshold units. Plos Computational Biology. 6. PMID 20856583 DOI: 10.1371/Journal.Pcbi.1000929 |
0.655 |
|
| 2010 |
Jarvis S, Rotter S, Egert U. Extending stability through hierarchical clusters in echo state networks. Frontiers in Neuroinformatics. 4. PMID 20725523 DOI: 10.3389/Fninf.2010.00011 |
0.67 |
|
| 2010 |
Staude B, Grün S, Rotter S. Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference. Frontiers in Computational Neuroscience. 4. PMID 20725510 DOI: 10.1186/1471-2202-10-S1-P108 |
0.757 |
|
| 2010 |
Kumar A, Rotter S, Aertsen A. Spiking activity propagation in neuronal networks: reconciling different perspectives on neural coding. Nature Reviews. Neuroscience. 11: 615-27. PMID 20725095 DOI: 10.1038/Nrn2886 |
0.76 |
|
| 2010 |
Voges N, Schüz A, Aertsen A, Rotter S. A modeler's view on the spatial structure of intrinsic horizontal connectivity in the neocortex. Progress in Neurobiology. 92: 277-92. PMID 20685378 DOI: 10.1016/j.pneurobio.2010.05.001 |
0.722 |
|
| 2010 |
Helias M, Deger M, Diesmann M, Rotter S. Equilibrium and Response Properties of the Integrate-and-Fire Neuron in Discrete Time. Frontiers in Computational Neuroscience. 3: 29. PMID 20130755 DOI: 10.3389/Neuro.10.029.2009 |
0.672 |
|
| 2010 |
Cardanobile S, Rotter S. Multiplicatively interacting point processes and applications to neural modeling. Journal of Computational Neuroscience. 28: 267-84. PMID 20052525 DOI: 10.1007/s10827-009-0204-0 |
0.49 |
|
| 2010 |
Voges N, Guijarro C, Aertsen A, Rotter S. Models of cortical networks with long-range patchy projections. Journal of Computational Neuroscience. 28: 137-54. PMID 19866352 DOI: 10.1007/s10827-009-0193-z |
0.687 |
|
| 2010 |
Staude B, Rotter S, Grün S. CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains. Journal of Computational Neuroscience. 29: 327-50. PMID 19862611 DOI: 10.1007/S10827-009-0195-X |
0.767 |
|
| 2010 |
Gürel T, Rotter S, Egert U. Functional identification of biological neural networks using reservoir adaptation for point processes. Journal of Computational Neuroscience. 29: 279-99. PMID 19639401 DOI: 10.1007/S10827-009-0176-0 |
0.725 |
|
| 2010 |
Gürel T, Okujeni S, Weihberger O, Rotter S, Egert U. Modeling persistent temporal patterns in dissociated cortical cultures using reservoir computing Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P42 |
0.721 |
|
| 2010 |
Jarvis S, Rotter S, Egert U. Increased robustness and intermittent dynamics in structured Reservoir Networks with feedback Esann 2011 Proceedings, 19th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 111-116. |
0.649 |
|
| 2009 |
Rickert J, Riehle A, Aertsen A, Rotter S, Nawrot MP. Dynamic encoding of movement direction in motor cortical neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 13870-82. PMID 19889998 DOI: 10.1523/Jneurosci.5441-08.2009 |
0.787 |
|
| 2009 |
Kriener B, Helias M, Aertsen A, Rotter S. Correlations in spiking neuronal networks with distance dependent connections. Journal of Computational Neuroscience. 27: 177-200. PMID 19568923 DOI: 10.1007/S10827-008-0135-1 |
0.819 |
|
| 2009 |
Gürelu T, Rotter S, Egert U. Reservoir computing methods for functional identification of biological networks Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P293 |
0.665 |
|
| 2009 |
Helias M, Deger M, Diesmann M, Rotter S. Finite synaptic potentials cause a non-linear instantaneous response of the integrate-and-fire model Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P225 |
0.623 |
|
| 2009 |
Deger M, Cardanobile S, Helias M, Rotter S. The Poisson process with dead time captures important statistical features of neural activity Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P110 |
0.3 |
|
| 2009 |
Diesmann M, Helias M, Deger M, Rotter S. The non-linear response of the integrate-and-fire neuron to finite synaptic potentials Neuroscience Research. 65: S78. DOI: 10.1016/J.Neures.2009.09.290 |
0.623 |
|
| 2009 |
Grah G, Rotter S. Von Neuronen zu Netzwerken. Mathematische Gehirnmodelle Biologie in Unserer Zeit. 39: 418-425. DOI: 10.1002/BIUZ.200910409 |
0.506 |
|
| 2008 |
Helias M, Rotter S, Gewaltig MO, Diesmann M. Structural plasticity controlled by calcium based correlation detection. helias@bccn.uni-freiburg.de. Frontiers in Computational Neuroscience. 2: 7. PMID 19129936 DOI: 10.3389/Neuro.10.007.2008 |
0.774 |
|
| 2008 |
Atmanspacher H, Rotter S. Interpreting neurodynamics: concepts and facts. Cognitive Neurodynamics. 2: 297-318. PMID 19003452 DOI: 10.1007/s11571-008-9067-8 |
0.363 |
|
| 2008 |
Kumar A, Rotter S, Aertsen A. Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 5268-80. PMID 18480283 DOI: 10.1523/Jneurosci.2542-07.2008 |
0.766 |
|
| 2008 |
Kriener B, Tetzlaff T, Aertsen A, Diesmann M, Rotter S. Correlations and population dynamics in cortical networks. Neural Computation. 20: 2185-226. PMID 18439141 DOI: 10.1162/Neco.2008.02-07-474 |
0.829 |
|
| 2008 |
Tetzlaff T, Rotter S, Stark E, Abeles M, Aertsen A, Diesmann M. Dependence of neuronal correlations on filter characteristics and marginal spike train statistics. Neural Computation. 20: 2133-84. PMID 18439140 DOI: 10.1162/Neco.2008.05-07-525 |
0.785 |
|
| 2008 |
Staude B, Rotter S, Grün S. Can spike coordination be differentiated from rate covariation? Neural Computation. 20: 1973-99. PMID 18336077 DOI: 10.1162/Neco.2008.06-07-550 |
0.746 |
|
| 2008 |
Nawrot MP, Boucsein C, Rodriguez Molina V, Riehle A, Aertsen A, Rotter S. Measurement of variability dynamics in cortical spike trains. Journal of Neuroscience Methods. 169: 374-90. PMID 18155774 DOI: 10.1016/J.Jneumeth.2007.10.013 |
0.822 |
|
| 2008 |
Kumar A, Schrader S, Aertsen A, Rotter S. The high-conductance state of cortical networks. Neural Computation. 20: 1-43. PMID 18044999 DOI: 10.1162/Neco.2008.20.1.1 |
0.781 |
|
| 2008 |
Kumar A, Rotter S, Aertsen A. On the propagation of firing rate and synchrony in a model of cortical network Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P6 |
0.789 |
|
| 2007 |
Shin SL, Rotter S, Aertsen A, De Schutter E. Stochastic description of complex and simple spike firing in cerebellar Purkinje cells. The European Journal of Neuroscience. 25: 785-94. PMID 17328774 DOI: 10.1111/j.1460-9568.2007.05308.x |
0.675 |
|
| 2007 |
Ehm W, Staude B, Rotter S. Decomposition of neuronal assembly activity via empirical de-Poissonization Electronic Journal of Statistics. 1: 473-495. DOI: 10.1214/07-Ejs095 |
0.488 |
|
| 2007 |
Staude B, Rotter S, Grün S. Testing for higher-order correlations in massively parallel spike trains Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P26 |
0.766 |
|
| 2007 |
Helias M, Rotter S, Gewaltig M, Diesmann M. A model for correlation detection based on Ca2+concentration in spines Bmc Neuroscience. 8. DOI: 10.1186/1471-2202-8-S2-P192 |
0.785 |
|
| 2007 |
Gürel T, Egert U, Kandler S, De Raedt L, Rotter S. Predicting spike activity in neuronal cultures Ieee International Conference On Neural Networks - Conference Proceedings. 2942-2947. DOI: 10.1186/1471-2202-8-S2-P185 |
0.704 |
|
| 2007 |
Kremkow J, Kumar A, Rotter S, Aertsen A. Emergence of population synchrony in a layered network of the cat visual cortex Neurocomputing. 70: 2069-2073. DOI: 10.1016/J.Neucom.2006.10.130 |
0.824 |
|
| 2007 |
Voges N, Aertsen A, Rotter S. Statistical analysis of spatially embedded networks: From grid to random node positions Neurocomputing. 70: 1833-1837. DOI: 10.1016/j.neucom.2006.10.126 |
0.681 |
|
| 2007 |
Nawrot MP, Boucsein C, Rodriguez-Molina V, Aertsen A, Grün S, Rotter S. Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro Neurocomputing. 70: 1717-1722. DOI: 10.1016/J.Neucom.2006.10.101 |
0.821 |
|
| 2007 |
Gürel T, De Raedt L, Rotter S. Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank Neurocomputing. 70: 1897-1901. DOI: 10.1016/j.neucom.2006.10.064 |
0.488 |
|
| 2005 |
Rickert J, Oliveira SC, Vaadia E, Aertsen A, Rotter S, Mehring C. Encoding of movement direction in different frequency ranges of motor cortical local field potentials. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 8815-24. PMID 16192371 DOI: 10.1523/Jneurosci.0816-05.2005 |
0.767 |
|
| 2005 |
Boucsein C, Nawrot M, Rotter S, Aertsen A, Heck D. Controlling synaptic input patterns in vitro by dynamic photo stimulation. Journal of Neurophysiology. 94: 2948-58. PMID 15928061 DOI: 10.1152/Jn.00245.2005 |
0.821 |
|
| 2004 |
Kuhn A, Aertsen A, Rotter S. Neuronal integration of synaptic input in the fluctuation-driven regime. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 24: 2345-56. PMID 15014109 DOI: 10.1523/JNEUROSCI.3349-03.2004 |
0.718 |
|
| 2004 |
Mehring C, Rickert J, Vaadia E, de Oliveira SC, Aertsen A, Rotter S. Erratum: Inference of hand movements from local field potentials in monkey motor cortex Nature Neuroscience. 7: 91-91. DOI: 10.1038/nn0104-91 |
0.763 |
|
| 2003 |
Mehring C, Rickert J, Vaadia E, Cardosa de Oliveira S, Aertsen A, Rotter S. Inference of hand movements from local field potentials in monkey motor cortex. Nature Neuroscience. 6: 1253-4. PMID 14634657 DOI: 10.1038/Nn1158 |
0.793 |
|
| 2003 |
Gütig R, Aertsen A, Rotter S. Analysis of higher-order neuronal interactions based on conditional inference. Biological Cybernetics. 88: 352-9. PMID 12750897 DOI: 10.1007/s00422-002-0388-0 |
0.712 |
|
| 2003 |
Nawrot MP, Aertsen A, Rotter S. Elimination of response latency variability in neuronal spike trains. Biological Cybernetics. 88: 321-34. PMID 12750895 DOI: 10.1007/S00422-002-0391-5 |
0.823 |
|
| 2003 |
Gütig R, Aharonov R, Rotter S, Sompolinsky H. Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 23: 3697-714. PMID 12736341 DOI: 10.1523/Jneurosci.23-09-03697.2003 |
0.33 |
|
| 2003 |
Kuhn A, Aertsen A, Rotter S. Higher-order statistics of input ensembles and the response of simple model neurons. Neural Computation. 15: 67-101. PMID 12590820 DOI: 10.1162/089976603321043702 |
0.738 |
|
| 2002 |
Egert U, Knott T, Schwarz C, Nawrot M, Brandt A, Rotter S, Diesmann M. MEA-Tools: an open source toolbox for the analysis of multi-electrode data with MATLAB. Journal of Neuroscience Methods. 117: 33-42. PMID 12084562 DOI: 10.1016/S0165-0270(02)00045-6 |
0.788 |
|
| 2002 |
Gütig R, Aertsen A, Rotter S. Statistical significance of coincident spikes: count-based versus rate-based statistics. Neural Computation. 14: 121-53. PMID 11747536 DOI: 10.1162/089976602753284473 |
0.818 |
|
| 2002 |
Kuhn A, Rotter S, Aertsen A. Correlated input spike trains and their effects on the response of the leaky integrate-and-fire neuron Neurocomputing. 44: 121-126. DOI: 10.1016/S0925-2312(02)00372-7 |
0.735 |
|
| 2001 |
Aertsen A, Diesmann M, Gewaltig MO, Grün S, Rotter S. Neural dynamics in cortical networks--precision of joint-spiking events. Novartis Foundation Symposium. 239: 193-204; discussion . PMID 11529312 DOI: 10.1002/0470846674.Ch15 |
0.832 |
|
| 2001 |
Diesmann M, Gewaltig MO, Rotter S, Aertsen A. State space analysis of synchronous spiking in cortical neural networks Neurocomputing. 38: 565-571. DOI: 10.1016/S0925-2312(01)00409-X |
0.846 |
|
| 1999 |
Nawrot M, Aertsen A, Rotter S. Single-trial estimation of neuronal firing rates: from single-neuron spike trains to population activity. Journal of Neuroscience Methods. 94: 81-92. PMID 10638817 DOI: 10.1016/S0165-0270(99)00127-2 |
0.812 |
|
| 1999 |
Rotter S, Diesmann M. Exact digital simulation of time-invariant linear systems with applications to neuronal modeling. Biological Cybernetics. 81: 381-402. PMID 10592015 DOI: 10.1007/S004220050570 |
0.636 |
|
| 1998 |
Rotter S, Aertsen A. Accurate spike synchronization in cortex. Zeitschrift FüR Naturforschung. C, Journal of Biosciences. 53: 686-90. PMID 9755520 DOI: 10.1515/Znc-1998-7-821 |
0.72 |
|
| 1994 |
Baier H, Rotter S, Korsching S. Connectional topography in the zebrafish olfactory system: random positions but regular spacing of sensory neurons projecting to an individual glomerulus. Proceedings of the National Academy of Sciences of the United States of America. 91: 11646-50. PMID 7972117 DOI: 10.1073/pnas.91.24.11646 |
0.401 |
|
| 1992 |
Aertsen A, Vadia E, Abeles M, Ahissar E, Bergman H, Karmon B, Lavner Y, Margalit E, Nelken I, Rotter S. DYNAMICS OF COHERENCE IN CORTICAL NEURAL ACTIVITY: EXPERIMENTAL OBSERVATIONS AND FUNCTIONAL INTERPRETATIONS International Journal of Neural Systems. 3: 105-114. DOI: 10.1142/S0129065792000437 |
0.731 |
|
| 1991 |
Aertsen A, Vaadia E, Abeles M, Ahissar E, Bergman H, Karmon B, Lavner Y, Margalit E, Nelken I, Rotter S. Neural interactions in the frontal cortex of a behaving monkey: signs of dependence on stimulus context and behavioral state. Journal Fã¼R Hirnforschung. 32: 735-43. PMID 1821420 |
0.706 |
|
| 1970 |
Rotter S, Egert U, Jarvis S. Identifying specific structural criteria for quasi-stable network dynamics Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.086 |
0.675 |
|
| 1970 |
Rotter S, Egert U, Jarvis S, Rerucha S, Kotek O. Building neuroinformatic data collections with respect to re-usabilityand sustainability Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.008 |
0.602 |
|
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