Publications of Helias, M
Select a view.56 publication entries, 34 of them (printed in bold in the list) acknowledge the project support.
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Book chapter
Conference contribution: talk
Conference contribution: poster
Web publication
Other
Paper (reviewed)
| Deger et al. 2012 | Deger, M., Helias, M., Rotter, S. and Diesmann, M. | Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex | PLoS Comput Biol (2012) 8(9): e1002689 doi:10.1371/journal.pcbi.1002689 |
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| Grytskyy et al. 2013 | Grytskyy, D., Tetzlaff, T., Diesmann, M., and Helias, M. | A unified view on weakly correlated recurrent networks | Front Comput Neurosci. (2013) 7:131 doi:10.3389/fncom.2013.00131 |
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| Grytskyy et al. 2013b | Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M. | A unified view on weakly correlated recurrent networks | Frontiers in computational neuroscience (2013) 7(131): 1-19 doi:10.3389/fncom.2013.00131 |
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| Helias et al. 2011 | Helias, M., Deger, M., Rotter, S. and Diesmann, M. | Finite post synaptic potentials cause a fast neuronal response | Front. Neurosci. (2011) 5:19 doi:10.3389/fnins.2011.00019 |
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| Helias et al. 2012 | Helias, M., Kunkel, S., Masumoto, G., Igarashi, J., Eppler, J. M., Ishii, S., Fukai, T., Morrison, A. and Diesmann, M. | Supercomputers ready for use as discovery machines for neuroscience | Front. Neuroinform. (2012) 6:26 doi:10.3389/fninf.2012.00026 |
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| Helias et al. 2013 | Helias, M., Tetzlaff, T., and Diesmann, M. | Echoes in correlated neural systems | New J. Phys. (2013) 15: 023002 doi:10.1088/1367-2630/15/2/023002 |
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| Helias et al. 2014 | Helias, M., Tetzlaff, T. and Diesmann, M. | The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics | PLoS Computational Biology (2014) 10(1): e1003428 doi:10.1371/journal.pcbi.1003428 |
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| Kriener et al. 2014b | Helias, M., Rotter, S., Diesmann, M. and Einevoll, G. T. | How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime | Frontiers in computational neuroscience (2014) 7: 1 doi:10.3389/fncom.2013.00187 |
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| Kunkel et al. 2014 | Kunkel, S., Schmidt, M., Eppler, J.M., Plesser, H.E., Masumoto, G., Igarashi, J., Ishii, S., Fukai, T., Morrison, A., Diesmann, M. and Helias, M. | Spiking network simulation code for petascale computers | Front. Neuroinform. (2014) 8:78 doi:10.3389/fninf.2014.00078 |
abstract, fulltext |
| Schultze-Kraft et al. 2013 | Schultze-Kraft, M., Diesmann, M., Grün, S. and Helias, M. | Noise Suppression and Surplus Synchrony by Coincidence Detection | PLoS Comput Biol. (2013) 9(4):e1002904 doi:10.1371/journal.pcbi.1002904 |
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| Tetzlaff et al. 2012 | Tetzlaff, T., Helias, M., Einevoll, G. T. and Diesmann, M. | Decorrelation of Neural-Network Activity by Inhibitory Feedback | PLoS Comput Biol (2012) 8(8): e1002596 doi:10.1371/journal.pcbi.1002596 |
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| van Albada et al. 2015 | van Albada, S.J., Helias, M. and Diesmann, M. | Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations | PLoS Comput Biol (2015) 11(9): e1004490 doi:10.1371/journal.pcbi.1004490 |
Book chapter
| van Albada et al. 2014 | van Albada, S., Helias, M. and Diesmann, M. | Integrating brain structure and dynamics on supercomputers | "Springer Cham Heidelberg New York Dordrecht London ISBN: 978-3-319-12083-6 (print), 978-3-319-12084-3 (electronic) Lecture Notes in Computer Science 8603, 22-32 (2014) [10.1007/978-3-319-12084-3_3] " doi:10.1007/978-3-319-12084-3_3 |
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Conference contribution: talk
| Bos and Helias 2014 | Bos, H. and Helias, M. | The origin of population rate oscillations in spiking neural networks | HeraeusSeminar on The Versatile Action of Noise: From Genetic to Neural Circuits, Bremen, Germany, 06/22/2014 - 06/27/2014 | |
| Grytskyy et al. 2012 | Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M. | Unifying propagators and covariances of network models by Ornstein-Uhlenbeck process | 12th Granada* Seminar - Physics, Computation and the Mind - Advances and Challenges at Interfaces ; La Herradura ; Spain ; 09/17/2012 - 09/21/2012 | abstract |
| Grytskyy et al. 2012b | Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M. | Unification of covariances in different neuron network models through the mapping onto Ornstein-Uhlenbeck process | Applied Mathematics, Control and Informatics, Belgorod, Russia, 10/03/2012 - 10/05/2012 | |
| Grytskyyet al 2013c | Grytskyy, D. ; Tetzlaff, T. ; Diesmann, M. ; Helias, M. | Covariances in neural networks in linear approximation | Donders Discussion 2013, Nijmegen, Netherlands, 10/31/2013 - 11/01/2013 |
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| Helias 2013 | Helias, M. | Structure and invariance of correlations in balanced networks | BCCN workshop 'Dynamics of Neuronal Systems', Freiburg, Germany, 06/18/2013 - 06/20/2013 |
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| Helias et al. 2014a | Helias, M., Kunkel, S., Morrison, A. and Diesmann, M. | NEST, simulation technology for brain-scale networks at cellular and synaptic resolution | SOS18 Conference on distributed supercomputing, St. Moritz, Switzerland, 03/17/2014 - 03/20/2014 | |
| Kunkel et al. 2014c | Kunkel, S., Helias, M., Diesmann, M. and Morrison, A. | Specifying supercomputers for brain-scale neuronal network simulations | HPC for Life Science, Brussels, Belgium, 05/26/2014 - 05/27/2014 | |
| Kunkel et al. 2014d | Kunkel, S., Helias, M., Diesmann, M. and Morrison, A. | Supercomputer simulations of spiking neuronal networks | Progress on Brain-Like Computing, Stockholm, Sweden, 02/05/2014 - 02/06/2014 | |
| Schmidt et al. 2014 | Schmidt, M., Schücker, J., van Albada, S., Bakker, R., Helias, M. and Diesmann, M. | Multi-area network model of visual cortex | 4th BrainScaleS plenary meeting, Manchester, Grossbritannien, 19 - 21 March 2014 | |
| Tetzlaffet al 2013 | Tetzlaff, T. ; Helias, M. ; Jordan, J. ; Petrovici, M. ; Breitwieser, O. ; Diesmann, M. | Decorrelation of neural-network activity by inhibitory feedback: Mechanism and applications | 22nd Annual Computational Neuroscience Meeting (CNS*2013), workshop on "Functional role of correlations: theory and experiment", CNS13, Paris, France, 07/13/2013 - 07/18/2013 |
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| van Albada et al. 2014c | van Albada, S., Helias, M. and Diesmann, M. | One-to-one relationship between effective connectivity and correlations in asynchronous networks | Bernstein Conference, Göttingen, Germany, 09/03/2014 - 09/05/2014 |
Conference contribution: poster
| Bakkeret al 2012 | Bakker, R. ; Denker, M. ; Diesmann, M. ; Eppler, J. M. ; Grün, S. ; Grytskyy, D. ; Helias, M. ; Ito, J. ; Maximov, A. ; Schmidt, M. ; Tetzlaff, T. ; Torre, E. ; van Albada, S. ; Wiebelt, B. ; Zehl, L. | Planned activities in Jülich | BrainScales Conference, Jülich, Germany, 03/19/2012 |
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| Bos et al. 2014 | Bos, H., Schmidt, M., Jordan, J., Schücker, J., van Albada, S., Bakker, R., Diesmann, M., Helias, M. and Tetzlaff, T. | Cortical multi-layered, multi-area networks as a substrate for stochastic computing | HBP Workshop on Stochastic Neural Computation, Paris, France, 11/27/2014 - 11/28/2014 | |
| Canova et al. 2015 | Canova, C;, Torre, E, Denker, M, Helias, M, Gerstein, G and Grün, S. | Statistical assessment and neuronal composition of active synfire chains | Poster presentation at German Neuroscience Society Meeting (NWG 2015). Göttingen, Germany. Mar. 21, 2015 | |
| EpplerM et al 2013 | Eppler, J. M. ; Kunkel, S. ; Helias, M. ; Zaytsev, Y. ; Plesser, H. E. ; Gewaltig, M.-O. ; Morrison, A. ; Diesmann, M. | 20 years of NEST: a mature brain simulator | INM Retreat 2013, Jülich, Germany, 07/02/2013 - 07/03/2013 |
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| Grytskyy et al. 2012c | Grytskyy, D., Helias, M., Tetzlaff, T., Diesmann, M. | Taming the model zoo: a unified view on correlations in recurrent networks | Twenty First Annual Computational Neuroscience Meeting, Decatur, GA, USA; BMC Neuroscience 2012, 13(Suppl 1):P147. doi:10.1186/1471-2202-13-S1-P147 |
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| Grytskyy et al. 2012d | Grytskyy, D., Helias, M., Tetzlaff, T., Diesmann, M. | Ornstein-Uhlenbeck-process joins and extends different theories of correlations | Bernstein Conference 2012, Munich, Germany; Front Comp Neurosci 6 (2012) doi:10.3389/conf.fncom.2012.55.00101 |
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| Grytskyy et al. 2012e | Grytskyy, D., Tetzlaff, T., Diesmann, M. and Helias, M. | Invariance of covariances arises out of noise | AIP Conf. Proc. (2013) 1510: 258 doi:10.1063/1.4776531 |
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| Grytskyy et al. 2014b | Grytskyy, D., Diesmann, M. and Helias, M. | Activity propagation in plastic feed-forward networks of nonlinear neurons | Machine Learning Summer School 2014, MLSS, Reykjavik, Iceland, 04/24/2014 - 05/04/2014 | |
| Grytskyyet al 2013b | Grytskyy, D. ; Diesmann, M. ; Helias, M. | Connectivity reconstruction from complete or partially known covariances in the asynchronous irregular regime | Bernstein Conference 2013, BCCN 2013, Tuebingen, Germany, 09/25/2013 - 09/27/2013 |
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| Grytskyyet al 2013d | Grytskyy, D. ; Diesmann, M. ; Helias, M. | Reconstruction of network connectivity in the irregular firing regime | 10th Goettingen Meeting of the German Neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/16/2013 |
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| Grytskyyet al. 2014 | Grytskyy, D. ; Diesmann, M. ; Helias, M. | Activity propagation in plastic feed-forward networks of nonlinear neurons | Bernstein Conference 2014, BCCN 2014, Goettingen, Germany, 09/03/2014 - 09/05/2014 | |
| Helias 2014 | Helias, M. | Identifying anatomical circuits causing population rate oscillations in structured integrate-and-fire networks | Bernstein Conference, Goettingen, Germany, 09/03/2014 - 09/05/2014 | |
| Helias et al. 2011b | Helias, M., Tetzlaff, T. and Diesmann, M. | Towards a unified theory of correlations in recurrent neural networks | BMC Neuroscience 2011, 12(Suppl 1):P73 doi:10.1186/1471-2202-12-S1-P73 |
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| Helias et al. 2011c | Helias, M., Grytskyy, D., Tetzlaff, T. and Diesmann, M. | Model-invariant features of correlations in recurrent networks | Front. Comput. Neurosci. (2011) Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011 doi:10.3389/conf.fncom.2011.53.00219 |
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| Helias et al. 2012a | Helias, M., Kunkel, S., Eppler, J., Masumoto, G., Igarashi, J., Ishii, S., Fukai, T., Morrison, A. and Diesmann, M. | Spiking neuronal network simulation technology for contemporary supercomputers | INCF Meeting, 10-12 Sept 2012, Munich, Germany | |
| Heliaset al 2013 | Helias, M. ; Tetzlaff, T. ; Diesmann, M. | Intrinsic and extrinsic sources of correlated activity in recurrent networks | 10th Goettingen meeting of the German neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/16/2013 |
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| Heliaset al 2013b | Helias, M. ; Tetzlaff, T. ; Diesmann, M. | Recurrence and external sources differentially shape network correlations. | Computational Neuroscience Conference 2013, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013 |
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| Krieneret al 2013 | Kriener, B. ; Helias, M. ; Rotter, S. ; Diesmann, M. ; Einevoll, G. T. | How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime | Computational Neuroscience Conference, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013 |
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| Kunkelet al 2013b | Kunkel, S. ; Schmidt, M. ; Eppler, J. M. ; Igarashi, J. ; Masumoto, G. ; Fukai, T. ; Ishii, S. ; Plesser, H. E. ; Morrison, A. ; Diesmann, M. ; Helias, M. | Supercomputers ready for use as discovery machines for neuroscience | 10th Meeting of the German Neuroscience Society, NWG 2013, Goettingen, Germany, 03/13/2013 - 03/18/2013 |
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| Schuecker et al. 2014a | Schücker, J., Diesmann, M. and Helias, M. | The transfer function of the LIF model: from white to filtered noise | Computation Neuroscience Conference 2014, CNS14, Quebec, Canada, 07/23/2014 - 07/31/2014 | |
| Schultze-Kraft et al. 2011 | Schultze-Kraft, M., Diesmann, M., Grün, S. and Helias, M. | Correlation transmission of spiking neurons is boosted by synchronous input | BMC Neuroscience 2011, 12(Suppl 1):P144 doi:10.1186/1471-2202-12-S1-P144 |
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| Torre et al. 2015 | Torre, E., Canova, C., Gerstein, G., Helias, M., Denker, M. and Grün, S | Statistical assessment of sequences of synchronous spiking in massively parallel spike trains | Proceedings Cosyne (2015) I-86 | |
| van Albada et al. 2013 | van Albada, S.J., Schrader, S., Helias, M. and Diesmann, M. | Influence of different types of downscaling on a cortical microcircuit model | BMC Neuroscience 2013, 14(Suppl 1):P112 doi:10.1186/1471-2202-14-S1-P112 |
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| van Albada et al. 2014k | van Albada, S, Helias, M. and Diesmann, M. | One-to-one relationship between effective connectivity and correlations in asynchronous networks | Bernstein Conference, Göttingen, Germany, 09/03/2014 - 09/05/2014 |
Web publication
| Schuecker et al. 2014 | Schuecker, J., Diesmann, M. and Helias, M. | Spectral properties of excitable systems subject to colored noise | arXiv:1411.0432 | abstract, fulltext |
| van Albada et al. 2014e | van Albada, S.J., Helias, M. and Diesmann, M. | Scalability of asynchronous networks is limited by one-to-one mapping between effective connectivity and correlations | arXiv:1411.4770 | abstract, fulltext |
Other
| Chorley et al. 2014 | Chorley, P., Diesmann, M., Helias, M. and Grün, S. | Correlated rate vector dynamics in motor cortex | INM Retreat, Jülich, Germany, 07/01/2014 - 07/02/2014 | |
| Helias 2014b | Helias, M. | The origin of population rate oscillations in spiking neural networks | INM Retreat, Juelich, Germany, 07/01/2014 - 07/02/2014 | |
| Kunkel et al. 2012 | Kunkel, S., Helias, M., Potjans, T. C., Eppler, J. M., Plesser, H.E., Diesmann, M. and Morrison, A. | Memory Consumption of Neuronal Network Simulators at the Brain Scale | in Binder K, Münster G, Kremer M (Eds) NIC Symposium 2012 Proceedings NIC Series Vol. 45, page 81, Jülich, Germany, ISBN 978-3-89336-758-0 | fulltext |
| Kunkelet al. 2014b | Plesser, H.E., Helias, M., Diesmann, M. and Morrison, A. | The NEST 4g kernel: highly scalable simulation code from laptops to supercomputers | BrainScaleS CodeJam Workshop 6, Juelich, Germany, 01/27/2014 - 01/29/2014 | BibTeX |
| Schücker et al. 2014 | Schücker, J., Schmidt, M., van Albada, S., Diesmann, M. and Helias, M. | Stability analysis of a multi-area network model of macaque visual cortex | INM Retreat 2013, Juelich, Germany, 07/01/2014 - 07/02/2014 | |
| Schmidt et al. 2014b | Schmidt, M., Schücker, J., van Albada, S., Bakker, R., Helias, M. and Diesmann, M. | Multi-area network model of visual cortex | 4th BrainScales plenary meeting, Manchester, Grossbritannien, 03/19/2014 - 03/21/2014 |
