Markus Diesmann - Publications

Affiliations: 
RIKEN Brain Science Institute, Wakō-shi, Saitama-ken, Japan 
Area:
Computational Neuroscience

136 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Pronold J, Jordan J, Wylie BJN, Kitayama I, Diesmann M, Kunkel S. Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring. Frontiers in Neuroinformatics. 15: 785068. PMID 35300490 DOI: 10.3389/fninf.2021.785068  0.399
2022 Dahmen D, Layer M, Deutz L, Dąbrowska PA, Voges N, von Papen M, Brochier T, Riehle A, Diesmann M, Grün S, Helias M. Global organization of neuronal activity only requires unstructured local connectivity. Elife. 11. PMID 35049496 DOI: 10.7554/eLife.68422  0.682
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  0.794
2021 Stapmanns J, Hahne J, Helias M, Bolten M, Diesmann M, Dahmen D. Event-Based Update of Synapses in Voltage-Based Learning Rules. Frontiers in Neuroinformatics. 15: 609147. PMID 34177505 DOI: 10.3389/fninf.2021.609147  0.315
2020 Jordan J, Helias M, Diesmann M, Kunkel S. Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. Frontiers in Neuroinformatics. 14: 12. PMID 32431602 DOI: 10.3389/Fninf.2020.00012  0.481
2020 Schmidt M, Bakker R, Hilgetag CC, Diesmann M, van Albada SJ. Correction to: Multi-scale account of the network structure of macaque visual cortex. Brain Structure & Function. PMID 32052112 DOI: 10.1007/S00429-019-02020-6  0.31
2019 Jordan J, Petrovici MA, Breitwieser O, Schemmel J, Meier K, Diesmann M, Tetzlaff T. Deterministic networks for probabilistic computing. Scientific Reports. 9: 18303. PMID 31797943 DOI: 10.1038/S41598-019-54137-7  0.441
2019 Kobayashi R, Kurita S, Kurth A, Kitano K, Mizuseki K, Diesmann M, Richmond BJ, Shinomoto S. Reconstructing neuronal circuitry from parallel spike trains. Nature Communications. 10: 4468. PMID 31578320 DOI: 10.1038/S41467-019-12225-2  0.449
2019 Dahmen D, Grün S, Diesmann M, Helias M. Second type of criticality in the brain uncovers rich multiple-neuron dynamics. Proceedings of the National Academy of Sciences of the United States of America. PMID 31189590 DOI: 10.1073/Pnas.1818972116  0.699
2019 Einevoll GT, Destexhe A, Diesmann M, Grün S, Jirsa V, de Kamps M, Migliore M, Ness TV, Plesser HE, Schürmann F. The Scientific Case for Brain Simulations. Neuron. 102: 735-744. PMID 31121126 DOI: 10.1016/J.Neuron.2019.03.027  0.672
2018 Kass RE, Amari SI, Arai K, Brown EN, Diekman CO, Diesmann M, Doiron B, Eden UT, Fairhall AL, Fiddyment GM, Fukai T, Grün S, Harrison MT, Helias M, Nakahara H, et al. Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application. 5: 183-214. PMID 30976604 DOI: 10.1146/annurev-statistics-041715-033733  0.634
2018 Schmidt M, Bakker R, Shen K, Bezgin G, Diesmann M, van Albada SJ. A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. Plos Computational Biology. 14: e1006359. PMID 30335761 DOI: 10.1371/Journal.Pcbi.1006359  0.452
2018 Jordan J, Ippen T, Helias M, Kitayama I, Sato M, Igarashi J, Diesmann M, Kunkel S. Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers in Neuroinformatics. 12: 34. PMID 30008668 DOI: 10.3389/Fninf.2018.00034  0.499
2018 van Albada SJ, Rowley AG, Senk J, Hopkins M, Schmidt M, Stokes AB, Lester DR, Diesmann M, Furber SB. Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model. Frontiers in Neuroscience. 12: 291. PMID 29875620 DOI: 10.3389/Fnins.2018.00291  0.476
2018 Denker M, Zehl L, Kilavik BE, Diesmann M, Brochier T, Riehle A, Grün S. LFP beta amplitude is linked to mesoscopic spatio-temporal phase patterns. Scientific Reports. 8: 5200. PMID 29581430 DOI: 10.1038/S41598-018-22990-7  0.576
2018 Jordan J, Ippen T, Helias M, Kitayama I, Sato M, Igarashi J, Diesmann M, Kunkel S. Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers in Neuroinformatics. 12: 2. PMID 29503613 DOI: 10.3389/Fninf.2018.00002  0.507
2018 Bouchard KE, Aimone JB, Chun M, Dean T, Denker M, Diesmann M, Donofrio DD, Frank LM, Kasthuri N, Koch C, Rubel O, Simon HD, Sommer FT, Prabhat. International Neuroscience Initiatives through the Lens of High-Performance Computing Ieee Computer. 51: 50-59. DOI: 10.1109/Mc.2018.2141039  0.37
2017 Krishnan J, Porta Mana P, Helias M, Diesmann M, Di Napoli E. Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons. Frontiers in Neuroinformatics. 11: 75. PMID 29379430 DOI: 10.3389/Fninf.2017.00075  0.467
2017 Schmidt M, Bakker R, Hilgetag CC, Diesmann M, van Albada SJ. Multi-scale account of the network structure of macaque visual cortex. Brain Structure & Function. PMID 29143946 DOI: 10.1007/S00429-017-1554-4  0.418
2017 Hahne J, Dahmen D, Schuecker J, Frommer A, Bolten M, Helias M, Diesmann M. Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Frontiers in Neuroinformatics. 11: 34. PMID 28596730 DOI: 10.3389/Fninf.2017.00034  0.499
2017 Ippen T, Eppler JM, Plesser HE, Diesmann M. Constructing Neuronal Network Models in Massively Parallel Environments. Frontiers in Neuroinformatics. 11: 30. PMID 28559808 DOI: 10.3389/Fninf.2017.00030  0.809
2017 Schuecker J, Schmidt M, van Albada SJ, Diesmann M, Helias M. Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. Plos Computational Biology. 13: e1005179. PMID 28146554 DOI: 10.1371/Journal.Pcbi.1005179  0.48
2017 Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Diesmann M, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1  0.758
2017 Rubchinsky LL, Ahn S, Klijn W, Cumming B, Yates S, Karakasis V, Peyser A, Woodman M, Diaz-Pier S, Deraeve J, Vassena E, Alexander W, Beeman D, Kudela P, Boatman-Reich D, ... ... Diesmann M, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0371-2  0.6
2016 Bouchard KE, Aimone JB, Chun M, Dean T, Denker M, Diesmann M, Donofrio DD, Frank LM, Kasthuri N, Koch C, Ruebel O, Simon HD, Sommer FT, Prabhat. High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination. Neuron. 92: 628-631. PMID 27810006 DOI: 10.1016/J.Neuron.2016.10.035  0.31
2016 Hagen E, Dahmen D, Stavrinou ML, Lindén H, Tetzlaff T, van Albada SJ, Grün S, Diesmann M, Einevoll GT. Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks. Cerebral Cortex (New York, N.Y. : 1991). PMID 27797828 DOI: 10.1093/Cercor/Bhw237  0.722
2016 Bos H, Diesmann M, Helias M. Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. Plos Computational Biology. 12: e1005132. PMID 27736873 DOI: 10.1371/Journal.Pcbi.1005132  0.427
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, ... ... Diesmann M, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6  0.548
2016 Grytskyy D, Diesmann M, Helias M. Reaction-diffusion-like formalism for plastic neural networks reveals dissipative solitons at criticality. Physical Review. E. 93: 062303. PMID 27415276 DOI: 10.1103/Physreve.93.062303  0.41
2016 Pfeil T, Jordan J, Tetzlaff T, Grübl A, Schemmel J, Diesmann M, Meier K. Effect of heterogeneity on decorrelation mechanisms in spiking neural networks: A neuromorphic-hardware study Physical Review X. 6. DOI: 10.1103/Physrevx.6.021023  0.526
2015 Schuecker J, Diesmann M, Helias M. Modulated escape from a metastable state driven by colored noise. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 92: 052119. PMID 26651659 DOI: 10.1103/Physreve.92.052119  0.356
2015 Hahne J, Helias M, Kunkel S, Igarashi J, Bolten M, Frommer A, Diesmann M. A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. Frontiers in Neuroinformatics. 9: 22. PMID 26441628 DOI: 10.3389/Fninf.2015.00022  0.53
2015 van Albada SJ, Helias M, Diesmann M. Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. Plos Computational Biology. 11: e1004490. PMID 26325661 DOI: 10.1371/Journal.Pcbi.1004490  0.499
2015 Muller E, Bednar JA, Diesmann M, Gewaltig MO, Hines M, Davison AP. Python in neuroscience. Frontiers in Neuroinformatics. 9: 11. PMID 25926788 DOI: 10.3389/Fninf.2015.00011  0.745
2015 Bos H, Schuecker J, Diesmann M, Helias M. Identifying and exploiting the anatomical origin of population rate oscillations in multi-layered spiking networks Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P97  0.444
2015 Grytskyy D, Diesmann M, Helias M. Functional consequences of non-equilibrium dynamics caused by antisymmetric and symmetric learning rules Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P96  0.44
2015 Jordan J, Tetzlaff T, Petrovici M, Breitwieser O, Bytschok I, Bill J, Schemmel J, Meier K, Diesmann M. Deterministic neural networks as sources of uncorrelated noise for probabilistic computations Bmc Neuroscience. 16: P62. DOI: 10.1186/1471-2202-16-S1-P62  0.388
2015 van Albada SJ, Helias M, Diesmann M. Limits to the scalability of cortical network models Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-O1  0.508
2014 Kunkel S, Schmidt M, Eppler JM, Plesser HE, Masumoto G, Igarashi J, Ishii S, Fukai T, Morrison A, Diesmann M, Helias M. Spiking network simulation code for petascale computers. Frontiers in Neuroinformatics. 8: 78. PMID 25346682 DOI: 10.3389/Fninf.2014.00078  0.81
2014 Helias M, Tetzlaff T, Diesmann M. The correlation structure of local neuronal networks intrinsically results from recurrent dynamics. Plos Computational Biology. 10: e1003428. PMID 24453955 DOI: 10.1371/Journal.Pcbi.1003428  0.512
2014 Schuecker J, Diesmann M, Helias M. The transfer function of the LIF model: from white to filtered noise Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P146  0.386
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  0.831
2013 Wagatsuma N, Potjans TC, Diesmann M, Sakai K, Fukai T. Spatial and feature-based attention in a layered cortical microcircuit model. Plos One. 8: e80788. PMID 24324628 DOI: 10.1371/Journal.Pone.0080788  0.359
2013 Grytskyy D, Tetzlaff T, Diesmann M, Helias M. A unified view on weakly correlated recurrent networks. Frontiers in Computational Neuroscience. 7: 131. PMID 24151463 DOI: 10.3389/Fncom.2013.00131  0.438
2013 Abeles M, Diesmann M, Flash T, Geisel T, Herrmann M, Teicher M. Compositionality in neural control: an interdisciplinary study of scribbling movements in primates. Frontiers in Computational Neuroscience. 7: 103. PMID 24062679 DOI: 10.3389/Fncom.2013.00103  0.315
2013 Vlachos A, Helias M, Becker D, Diesmann M, Deller T. NMDA-receptor inhibition increases spine stability of denervated mouse dentate granule cells and accelerates spine density recovery following entorhinal denervation in vitro. Neurobiology of Disease. 59: 267-76. PMID 23932917 DOI: 10.1016/J.Nbd.2013.07.018  0.38
2013 Schultze-Kraft M, Diesmann M, Grün S, Helias M. Noise suppression and surplus synchrony by coincidence detection. Plos Computational Biology. 9: e1002904. PMID 23592953 DOI: 10.1371/Journal.Pcbi.1002904  0.707
2013 Grytskyy D, Tetzlaff T, Diesmann M, Helias M. Noise decouples covariances from interaction strength Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P164  0.497
2013 Kunkel S, Schmidt M, Eppler JM, Plesser HE, Igarashi J, Masumoto G, Fukai T, Ishii S, Morrison A, Diesmann M, Helias M. From laptops to supercomputers: a single highly scalable code base for spiking neuronal network simulations Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P163  0.816
2013 Denker M, Riehle A, Diesmann M, Grün S. Relating excess spike synchrony to LFP-locked firing rates modulations Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P150  0.682
2013 Hagen E, Stavrinou ML, Linden H, Tetzlaff T, van Albada S, Dahmen D, Diesmann M, Gruen S, Einevoll GT. Hybrid scheme for modeling LFPs from spiking cortical network models Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P119  0.551
2013 Helias M, Tetzlaff T, Diesmann M. Recurrence and external sources differentially shape network correlations Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P113  0.488
2013 van Albada SJ, Schrader S, Helias M, Diesmann M. Influence of different types of downscaling on a cortical microcircuit model Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P112  0.523
2013 Nowke C, Hentschel B, Kuhlen T, Schmidt M, van Albada SJ, Eppler JM, Bakker R, Diesmann M. Interactive visualization of brain-scale spiking activity Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P110  0.791
2013 Helias M, Tetzlaff T, Diesmann M. Echoes in correlated neural systems New Journal of Physics. 15. DOI: 10.1088/1367-2630/15/2/023002  0.512
2012 Bakker R, Wachtler T, Diesmann M. CoCoMac 2.0 and the future of tract-tracing databases. Frontiers in Neuroinformatics. 6: 30. PMID 23293600 DOI: 10.3389/Fninf.2012.00030  0.335
2012 Tetzlaff T, Helias M, Einevoll GT, Diesmann M. Decorrelation of neural-network activity by inhibitory feedback. Plos Computational Biology. 8: e1002596. PMID 23133368 DOI: 10.1371/Journal.Pcbi.1002596  0.495
2012 Helias M, Kunkel S, Masumoto G, Igarashi J, Eppler JM, Ishii S, Fukai T, Morrison A, Diesmann M. Supercomputers ready for use as discovery machines for neuroscience. Frontiers in Neuroinformatics. 6: 26. PMID 23129998 DOI: 10.3389/Fninf.2012.00026  0.802
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  0.583
2012 Pfeil T, Potjans TC, Schrader S, Potjans W, Schemmel J, Diesmann M, Meier K. Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardware. Frontiers in Neuroscience. 6: 90. PMID 22822388 DOI: 10.3389/Fnins.2012.00090  0.396
2012 Gerstein GL, Williams ER, Diesmann M, Grün S, Trengove C. Detecting synfire chains in parallel spike data. Journal of Neuroscience Methods. 206: 54-64. PMID 22361572 DOI: 10.1016/J.Jneumeth.2012.02.003  0.797
2012 Grytskyy D, Helias M, Tetzlaff T, Diesmann M. Taming the model zoo: a unified view on correlations in recurrent networks Bmc Neuroscience. 13. DOI: 10.1186/1471-2202-13-S1-P147  0.494
2011 Kunkel S, Potjans TC, Eppler JM, Plesser HE, Morrison A, Diesmann M. Meeting the memory challenges of brain-scale network simulation. Frontiers in Neuroinformatics. 5: 35. PMID 22291636 DOI: 10.3389/Fninf.2011.00035  0.804
2011 Lindén H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M, Einevoll GT. Modeling the spatial reach of the LFP. Neuron. 72: 859-72. PMID 22153380 DOI: 10.1016/J.Neuron.2011.11.006  0.677
2011 Ishii S, Diesmann M, Doya K. Multi-scale, multi-modal neural modeling and simulation. Neural Networks : the Official Journal of the International Neural Network Society. 24: 917. PMID 21840687 DOI: 10.1016/J.Neunet.2011.07.004  0.358
2011 Brüderle D, Petrovici MA, Vogginger B, Ehrlich M, Pfeil T, Millner S, Grübl A, Wendt K, Müller E, Schwartz MO, de Oliveira DH, Jeltsch S, Fieres J, Schilling M, Müller P, ... ... Diesmann M, et al. A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biological Cybernetics. 104: 263-96. PMID 21618053 DOI: 10.1007/S00422-011-0435-9  0.709
2011 Denker M, Roux S, Lindén H, Diesmann M, Riehle A, Grün S. The local field potential reflects surplus spike synchrony. Cerebral Cortex (New York, N.Y. : 1991). 21: 2681-95. PMID 21508303 DOI: 10.1093/Cercor/Bhr040  0.698
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  0.642
2011 Hanuschkin A, Diesmann M, Morrison A. A reafferent and feed-forward model of song syntax generation in the Bengalese finch. Journal of Computational Neuroscience. 31: 509-32. PMID 21404048 DOI: 10.1007/S10827-011-0318-Z  0.433
2011 Hanuschkin A, Herrmann JM, Morrison A, Diesmann M. Compositionality of arm movements can be realized by propagating synchrony. Journal of Computational Neuroscience. 30: 675-97. PMID 20953686 DOI: 10.1007/S10827-010-0285-9  0.378
2011 Helias M, Tetzlaff T, Diesmann M. Towards a unified theory of correlations in recurrent neural networks Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P73  0.507
2011 Bakker R, Potjans TC, Wachtler T, Diesmann M. Macaque structural connectivity revisited: CoCoMac 2.0 Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P72  0.385
2011 Kunkel S, Helias M, Diesmann M, Morrison A. Fail-safe detection of threshold crossings of linear integrate-and-fire neuron models in time-driven simulations Bmc Neuroscience. 12: 229. DOI: 10.1186/1471-2202-12-S1-P229  0.472
2011 Schultze-Kraft M, Diesmann M, Grün S, Helias M. Correlation transmission of spiking neurons is boosted by synchronous input Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P144  0.717
2011 Denker M, Davison A, Diesmann M, Grün S. Towards guiding principles in workflow design to facilitate collaborative projects involving massively parallel electrophysiological data Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P131  0.619
2011 Lindén H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M, Einevoll GT. How local is the local field potential? Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-O8  0.658
2010 Louis S, Gerstein GL, Grün S, Diesmann M. Surrogate spike train generation through dithering in operational time. Frontiers in Computational Neuroscience. 4: 127. PMID 21060802 DOI: 10.3389/Fncom.2010.00127  0.785
2010 Hanuschkin A, Kunkel S, Helias M, Morrison A, Diesmann M. A general and efficient method for incorporating precise spike times in globally time-driven simulations. Frontiers in Neuroinformatics. 4: 113. PMID 21031031 DOI: 10.3389/Fninf.2010.00113  0.449
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  0.626
2010 Denker M, Riehle A, Diesmann M, Grün S. Estimating the contribution of assembly activity to cortical dynamics from spike and population measures. Journal of Computational Neuroscience. 29: 599-613. PMID 20480218 DOI: 10.1186/1471-2202-10-S1-P231  0.682
2010 Djurfeldt M, Hjorth J, Eppler JM, Dudani N, Helias M, Potjans TC, Bhalla US, Diesmann M, Kotaleski JH, Ekeberg O. Run-time interoperability between neuronal network simulators based on the MUSIC framework. Neuroinformatics. 8: 43-60. PMID 20195795 DOI: 10.1007/S12021-010-9064-Z  0.81
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  0.654
2010 Helias M, Tetzlaff T, Diesmann M. Neurons hear their echo Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P47  0.503
2010 Denker M, Riehle A, Diesmann M, Grün S. Phase locking between excess spike synchrony and LFP is independent of rate covariation Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-P4  0.705
2010 Grün S, Borgelt C, Gerstein G, Louis S, Diesmann M. Selecting appropriate surrogate methods for spike correlation analysis Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-O15  0.806
2010 Tetzlaff T, Helias M, Einevoll GT, Diesmann M. Decorrelation of low-frequency neural activity by inhibitory feedback Bmc Neuroscience. 11. DOI: 10.1186/1471-2202-11-S1-O11  0.497
2010 Gruen S, Louis S, Gerstein G, Diesmann M. Surrogates for spike correlation analysis through dithering in operational time Neuroscience Research. 68: e51. DOI: 10.1016/J.Neures.2010.07.472  0.721
2010 Denker M, Riehle A, Diesmann M, Grün S. Distinguishing the effects of firing rate co-modulation and excess spike synchrony on the spike–LFP relationship Neuroscience Research. 68: e438. DOI: 10.1016/J.Neures.2010.07.1941  0.621
2009 Tetzlaff T, Einevoll GT, Diesmann M. Synchronization and rate dynamics in embedded synfire chains: effect of network heterogeneity and feedback Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P258  0.467
2009 Schwalger T, Goedeke S, Diesmann M. Bifurcation analysis of synchronization dynamics in cortical feed-forward networks in novel coordinates Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P256  0.391
2009 Berger D, Borgelt C, Diesmann M, Gerstein G, Grün S. An accretion based data mining algorithm for identification of sets of correlated neurons Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P254  0.788
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  0.607
2009 Lindén H, Pettersen KH, Tetzlaff T, Potjans T, Denker M, Diesmann M, Grün S, Einevoll GT. Estimating the spatial range of local field potentials in a cortical population model Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P224  0.573
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  0.594
2008 Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO. PyNEST: A Convenient Interface to the NEST Simulator. Frontiers in Neuroinformatics. 2: 12. PMID 19198667 DOI: 10.3389/Neuro.11.012.2008  0.809
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  0.799
2008 Schrader S, Grün S, Diesmann M, Gerstein GL. Detecting synfire chain activity using massively parallel spike train recording. Journal of Neurophysiology. 100: 2165-76. PMID 18632888 DOI: 10.1152/Jn.01245.2007  0.825
2008 Pazienti A, Maldonado PE, Diesmann M, Grün S. Effectiveness of systematic spike dithering depends on the precision of cortical synchronization. Brain Research. 1225: 39-46. PMID 18547547 DOI: 10.1016/J.Brainres.2008.04.073  0.662
2008 Morrison A, Diesmann M, Gerstner W. Phenomenological models of synaptic plasticity based on spike timing. Biological Cybernetics. 98: 459-78. PMID 18491160 DOI: 10.1007/S00422-008-0233-1  0.394
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  0.835
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  0.715
2008 Goedeke S, Schwalger T, Diesmann M. Theory of neuronal spike densities for synchronous activity in cortical feed-forward networks Bmc Neuroscience. 9: P143. DOI: 10.1186/1471-2202-9-S1-P143  0.528
2008 Hanuschkin A, Kunkel S, Helias M, Morrison A, Diesmann M. Comparison of methods to calculate exact spike times in integrate-and-fire neurons with exponential currents Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P131  0.463
2008 Grün S, Abeles M, Diesmann M. Impact of higher-order correlations on coincidence distributions of massively parallel data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5286: 96-114. DOI: 10.1007/978-3-540-88853-6-8  0.529
2007 Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, Goodman PH, Harris FC, Zirpe M, Natschläger T, Pecevski D, Ermentrout B, Djurfeldt M, et al. Simulation of networks of spiking neurons: a review of tools and strategies. Journal of Computational Neuroscience. 23: 349-98. PMID 17629781 DOI: 10.1007/S10827-007-0038-6  0.466
2007 Morrison A, Aertsen A, Diesmann M. Spike-timing-dependent plasticity in balanced random networks. Neural Computation. 19: 1437-67. PMID 17444756 DOI: 10.1162/Neco.2007.19.6.1437  0.665
2007 Morrison A, Straube S, Plesser HE, Diesmann M. Exact subthreshold integration with continuous spike times in discrete-time neural network simulations. Neural Computation. 19: 47-79. PMID 17134317 DOI: 10.1162/Neco.2007.19.1.47  0.57
2007 Gewaltig M, Diesmann M. NEST (NEural Simulation Tool) Scholarpedia. 2: 1430. DOI: 10.4249/Scholarpedia.1430  0.791
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  0.807
2007 Gruen S, Pazienti A, Diesmann M. Effectiveness of dithering to destroy spike coincidences Neuroscience Research. 58: S54. DOI: 10.1016/J.Neures.2007.06.317  0.359
2007 Pazienti A, Diesmann M, Grün S. Bounds of the ability to destroy precise coincidences by spike dithering Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4729: 428-437. DOI: 10.1007/978-3-540-75555-5_41  0.578
2007 Plesser HE, Eppler JM, Morrison A, Diesmann M, Gewaltig MO. Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4641: 672-681.  0.81
2007 Eppler JM, Plesser HE, Morrison A, Diesmann M, Gewaltig MO. Multithreaded and distributed simulation of large biological neuronal networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4757: 391-392.  0.819
2005 Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M. Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural Computation. 17: 1776-801. PMID 15969917 DOI: 10.1162/0899766054026648  0.792
2004 Denker M, Timme M, Diesmann M, Wolf F, Geisel T. Breaking synchrony by heterogeneity in complex networks. Physical Review Letters. 92: 074103. PMID 14995855 DOI: 10.1103/Physrevlett.92.074103  0.38
2004 Tetzlaff T, Morrison A, Geisel T, Diesmann M. Consequences of realistic network size on the stability of embedded synfire chains Neurocomputing. 58: 117-121. DOI: 10.1016/J.Neucom.2004.01.031  0.431
2003 Mehring C, Hehl U, Kubo M, Diesmann M, Aertsen A. Activity dynamics and propagation of synchronous spiking in locally connected random networks. Biological Cybernetics. 88: 395-408. PMID 12750902 DOI: 10.1007/S00422-002-0384-4  0.8
2003 Grün S, Riehle A, Diesmann M. Effect of cross-trial nonstationarity on joint-spike events. Biological Cybernetics. 88: 335-51. PMID 12750896 DOI: 10.1007/S00422-002-0386-2  0.649
2003 Tetzlaff T, Buschermöhle M, Geisel T, Diesmann M. The spread of rate and correlation in stationary cortical networks Neurocomputing. 52: 949-954. DOI: 10.1016/S0925-2312(02)00854-8  0.496
2003 Pipa G, Diesmann M, Grün S. Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods Complexity. 8: 79-86. DOI: 10.1002/Cplx.10085  0.574
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  0.754
2002 Grün S, Diesmann M, Aertsen A. Unitary events in multiple single-neuron spiking activity: II. Nonstationary data. Neural Computation. 14: 81-119. PMID 11747535 DOI: 10.1162/089976602753284464  0.76
2002 Grün S, Diesmann M, Aertsen A. Unitary events in multiple single-neuron spiking activity: I. Detection and significance. Neural Computation. 14: 43-80. PMID 11747534 DOI: 10.1162/089976602753284455  0.754
2002 Tetzlaff T, Geisel T, Diesmann M. The ground state of cortical feed-forward networks Neurocomputing. 44: 673-678. DOI: 10.1016/S0925-2312(02)00456-3  0.489
2001 Gewaltig MO, Diesmann M, Aertsen A. Propagation of cortical synfire activity: survival probability in single trials and stability in the mean. Neural Networks : the Official Journal of the International Neural Network Society. 14: 657-73. PMID 11665761 DOI: 10.1016/S0893-6080(01)00070-3  0.832
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  0.828
2001 Riehle A, Grammont F, Diesmann M, Grün S. Erratum to “Dynamical changes and temporal precision of synchronized spiking activity in monkey motor cortex during movement preparation” [Journal of Physiology-Paris 94 (5–6) pp. 569–582 (2000)]☆ Journal of Physiology-Paris. 95: 499. DOI: 10.1016/S0928-4257(01)00092-4  0.588
2001 Gewaltig MO, Diesmann M, Aertsen A. Cortical synfire-activity: Configuration space and survival probability Neurocomputing. 38: 621-626. DOI: 10.1016/S0925-2312(01)00454-4  0.817
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  0.837
2000 Riehle A, Grammont F, Diesmann M, Grün S. Dynamical changes and temporal precision of synchronized spiking activity in monkey motor cortex during movement preparation. Journal of Physiology, Paris. 94: 569-82. PMID 11165921 DOI: 10.1016/S0928-4257(00)01100-1  0.694
1999 Grün S, Diesmann M, Grammont F, Riehle A, Aertsen A. Detecting unitary events without discretization of time. Journal of Neuroscience Methods. 94: 67-79. PMID 10638816 DOI: 10.1016/S0165-0270(99)00126-0  0.725
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  0.64
1999 Diesmann M, Gewaltig MO, Aertsen A. Stable propagation of synchronous spiking in cortical neural networks. Nature. 402: 529-33. PMID 10591212 DOI: 10.1038/990101  0.841
1997 Riehle A, Grün S, Diesmann M, Aertsen A. Spike synchronization and rate modulation differentially involved in motor cortical function. Science (New York, N.Y.). 278: 1950-3. PMID 9395398 DOI: 10.1126/Science.278.5345.1950  0.722
1996 Aertsen A, Diesmann M, Gewaltig MO. Propagation of synchronous spiking activity in feedforward neural networks. Journal of Physiology, Paris. 90: 243-7. PMID 9116676 DOI: 10.1016/S0928-4257(97)81432-5  0.826
1970 Diesmann M, Einevoll G, Potjans T, Lindén H, Grün S. Modeling the local field potential by a large-scale layered cortical network model Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.046  0.356
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