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Linden H, Tetzlaff T, Potjans TC, Pettersen KH, Grün S, Diesmann M, Einevoll GT (2011) Modeling the spatial reach of the LFP Neuron 72(5):859-872. doi: 10.1016/j.neuron.2011.11.006

Hanuschkin A, Diesmann M, Morrison A (2011) A reafferent and feed-forward model of song syntax generation in the Bengalese finch J Comput Neurosci 31(3):509-532. doi: 10.1007/s10827-011-0318-z

Wagatsuma N, Potjans T, Diesmann M, Fukai T (2011) Layer-dependent attentional processing by top-down signals in a visual cortical microcircuit model Front Comput Neurosci 5(0). doi: 10.3389/fncom.2011.00031

Yamauchi S, Kim H and Shinomoto S (2011) Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times Front Comput Neurosci 5:42. doi: 10.3389/fncom.2011.00042

Henker S, Partzsch J, Schüffny R (2011) Accuracy evaluation of numerical methods used in state-of-the-art simulators for spiking neural networks J Comput Neurosci doi: 10.1007/s10827-011-0353-9

Vlachos I, Herry C, Lüthi A, Aertsen A, Kumar A (2011) Context-Dependent Encoding of Fear and Extinction Memories in a Large-Scale Network Model of the Basal Amygdala. PLoS Comput Biol 7(3): e1001104. doi:10.1371/journal.pcbi.1001104

Kunkel S, Diesmann M, Morrison A (2011) Limits to the development of feed-forward structures in large recurrent neuronal networks Front. Comput. Neurosci. 4:160. doi: 10.3389/fncom.2010.00160

Brüderle D, Petrovici M, Vogginger B, Ehrlich M, Pfeil T, Millner S, Grübl A, Wendt K, Müller E, Schwartz MO, de Oliveira D, Jeltsch S, Fieres J, Schilling M, Müller P, Breitwieser O, Petkov V, Muller L, Davison A, Krishnamurthy P, Kremkow J, Lundqvist M, Muller E, Partzsch J, Scholze S, Zühl L, Mayr C, Destexhe A, Diesmann M, Potjans T, Lansner A, Schüffny R, Schemmel J, Meier K (2011) A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems Biol Cybern 104(4-5):263-296

Indiveri G, Linares-Barranco B, Hamilton TJ, van Schaik A, Etienne-Cummings R, Delbruck T, Liu SC, Dudek P, Häfliger P, Renaud S, Schemmel J, Cauwenberghs C, Arthur J, Hynna K, Folowosele F, Saighi S, Serrano-Gotarredona T, Wijekoon J, Wang Y, Boahen K (2011) Neuromorphic silicon neuron circuits Front. Neurosci. 5:73. doi: 10.3389/fnins.2011.00073

Potjans W, Diesmann M, Morrison A (2011) An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning PLoS Comput Biol 7(5): e1001133

Golloa LL, Mirassoa C and Villab AEP (2011) Dynamic control for synchronization of separated cortical areas through thalamic relay NeuroImage 52(3): 947-955

Padraig Gleeson, R. Angus Silver and Volker Steuber (2010) Computer Simulation Environments in Vassilis Cutsuridis, Bruce Graham, Stuart Cobb and Imre Vida (Eds) Hippocampal Microcircuits A Computational Modeler’s Resource Book Springer Series in Computational Neuroscience, 2010, Volume 5, Part II, 593-609, DOI: 10.1007/978-1-4419-0996-1_2

Nordlie E, Tetzlaff T, Einevoll GT (2010) Rate dynamics of leaky integrate-and-fire neurons with strong synapses. Front. Comput. Neurosci. 4:149, doi:10.3389/fncom.2010.00149

Yger P, Boustani S E, Destexhe A and Frégnac Y (2010) Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons. Journal of Computational Neuroscience DOI: 10.1007/s10827-010-0310-z

Schrader S, Diesmann M, Morrison A (2010) A compositionality machine realized by a hierarchic architecture of synfire chains. Front. Comput. Neurosci. 4:154

Bruederle et al. (2010) A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems arXiv:1011.2861v1

Potjans W, Morrison A and Diesmann M (2010). Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity. Front. Comput. Neurosci. 4:141

Hanuschkin A, Herrmann J M, Morrison A and Diesmann M (2010) Compositionality of arm movements can be realized by propagating synchrony. Journal of Computational Neuroscience. doi:10.1007/s10827-010-0285-9

Moritz Helias, Moritz Deger, Stefan Rotter, Markus Diesmann (2010) Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units PLoS Comput Biol 6(9): e1000929

Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison and Markus Diesmann (2010) A general and efficient method for incorporating precise spike times in globally time-driven simulations Front. Neuroinform. 4:113. doi:10.3389/fninf.2010.00113

Moritz Helias, Moritz Deger, Markus Diesmann and Stefan Rotter (2010) Equilibrium and response properties of the integrate-and-fire neuron in discrete time Front. Comput. Neurosci., doi: 10.3389/neuro.10.029.2009

Nordlie E, Plesser HE (2010) Visualizing neuronal network connectivity with connectivity pattern tables Front Neuroinform 3:39

Mikael Djurfeldt, Johannes Hjorth, Jochen M. Eppler, Niraj Dudani, Moritz Helias, Tobias C. Potjans, Upinder S. Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski and Örjan Ekeberg (2010) Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework Neuroinformatics 8(1):43-60, DOI 10.1007/s12021-010-9064-z

Andrew Davison, Eilif Muller, Daniel Brüderle, and Jens Kremkow (2010) A common language for neuronal networks in software and hardware Institute of Neuromorphic Engineering, DOI: 10.2417/1201001.1712

Jochen M. Eppler, A Python interface to NEST Institute of Neuromorphic Engineering, DOI: 10.2417/1200912.1703

Olivier Marre, Pierre Yger, Andrew P. Davison, and Yves Frégnac, Reliable Recall of Spontaneous Activity Patterns in Cortical Networks, J. Neurosci..2009; 29: 14596-14606

Goodman DF and Brette R (2009) The Brian simulator. Front. Neurosci.doi:10.3389/neuro.01.026.2009

Boustani SE, Marre O, Béhuret S, Baudot P, Yger P, Bal T, Destexhe A, Frégnac Y (2009) Network-State Modulation of Power-Law Frequency-Scaling in Visual Cortical Neurons PLoS Comput Biol 5(9): e1000519

Schrader S, Gewaltig MO, Koerner U, Koerner E, (2009) Cortext: A columnar model of bottom-up and top-down processing in the neocortex Neural Networks, in press

Nordlie E, Gewaltig M-O, Plesser HE (2009) Towards reproducible descriptions of neuronal network models PLoS Comput Biol 5(8):e1000456

Plesser HE, Diesmann M (2009) Simplicity and efficiency of integrate-and-fire neuron models Neural Comput 21(2):353-359

Potjans W, Morrison A, Diesmann M (2009) A spiking neural network model of an actor-critic learning agent Neural Comput 21(2):301-39

De Schutter E (2008) Why Are Computational Neuroscience and Systems Biology So Separate? PLoS Comput Biol 4(5): e1000078

Djurfeldt M, Lundqvist M, Johansson C, Rehn M, Ekeberg O, Lansner A (2008) Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer IBM Journal of Research and Development 52(1-2):31-42

Davison AP, Brüderle D, Eppler J, Kremkow J, Muller E, Pecevski D, Perrinet L and Yger P (2009). PyNN: a common interface for neuronal network simulators Front. Neuroinform. 2:11

Eppler JM, Helias M, Muller E, Diesmann M, Gewaltig MO (2009) PyNEST: a convenient interface to the NEST simulator Front Neuroinformatics (2008) 2:12 pdf

Goedeke S, Diesmann M (2008) The mechanism of synchronization in feed-forward neuronal networks New J Phys 10(1):015007 (10pp)

Helias M, Rotter S, Gewaltig MO, Diesmann M (2008) Structural plasticity controlled by calcium based correlation detection Front Comput Neurosci 2:7

Kriener B, Tetzlaff T, Aertsen A, Diesmann M, Rotter S (2008) Correlations and population dynamics in cortical networks Neural Comput 20(9):2185-226 pdf

Kumar A, Rotter S, Aertsen A (2008) Conditions for propagating synchronous spiking and asynchronous firing rates in a cortical network model J Neurosci 28(20):5268-80 pdf

Kumar A, Schrader S, Aertsen A, Rotter S (2008) The high-conductance state of cortical networks Neural Comput 20(1):1-43 pdf

Morrison A, Diesmann M (2008) Maintaining causality in discrete time neuronal network simulations In: Beim Graben P et al. eds. Lectures in supercomputational neuroscience: dynamics in complex brain networks Chapter IV.10 p. 267-278. Springer preprint

Morrison A, Diesmann M, Gerstner W (2008) Phenomenological models of synaptic plasticity based on spike timing Biol Cybern 98(6):459-78

Scorcioni R, Hamilton DJ, Ascoli GA (2008) Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit Neural Netw 21(8):1153-63.

Tetzlaff T, Rotter S, Stark E, Abeles M, Aertsen A, Diesmann M (2008) Dependence of neuronal correlations on filter characteristics and marginal spike train statistics Neural Comput 20(9):2133-2184 pdf

Brette R, Rudolph M, Carnevale T, Hines M, Beeman D, Bower JM, Diesmann M, Morrison A, Goodman PH, Harris FC Jr, Zirpe M, Natschläger T, Pecevski D, Ermentrout B, Djurfeldt M, Lansner A, Rochel O, Vieville T, Muller E, Davison AP, El Boustani S, Destexhe A (2007) Simulation of networks of spiking neurons: a review of tools and strategies J Comput Neurosci 23(3):349-98

Bruederle D, Gruebl A, Meier K, Mueller E, Schemmel J (2007) A software framework for tuning the dynamics of neuromorphic silicon towards biology In: Proc. of IWANN 2007, Springer LNCS 4507:479-486 pdf

Cannon RC, Gewaltig MO, Gleeson P, Bhalla US, Cornelis H, Hines ML, Howell FW, Muller E, Stiles JR, Wils S, De Schutter E (2007) Interoperability of neuroscience modeling software: current status and future directions Neuroinformatics 5(2):127-38

Djurfeldt M, Lansner A (2007) Report of the 1st INCF workshop on large-scale modeling of the nervous system pdf

Eppler JM, Plesser HE, Morrison A, Diesmann M, Gewaltig MO (2007) Multithreaded and distributed simulation of large biological neuronal networks In: Proc. of EuroPVM/MPI 2007, Springer LNCS 4757:391-392

Gewaltig MO, Diesmann M (2007) NEST Scholarpedia 2(4):1430

Morrison A, Aertsen A, Diesmann M (2007) Spike-timing-dependent plasticity in balanced random networks Neural Comput 19(6):1437-67 pdf

Morrison A, Straube S, Plesser HE, Diesmann M (2007) Exact subthreshold integration with continuous spike times in discrete-time neural network simulations Neural Comput 19(1):47-79 pdf

Muller E, Buesing L, Schemmel J, Meier K (2007) Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories Neural Comput 19(11):2958-3010

Plesser HE, Eppler JM, Morrison A, Diesmann M, Gewaltig MO (2007) Efficient parallel simulation of large-scale neuronal networks on clusters of multiprocessor computers In: Proc. of Euro-Par Parallel Processing 2007, Springer LNCS 4641:672-681

Guerrero-Rivera R, Morrison A, Diesmann M, Pearce, T C (2006) Programmable Logic Construction Kits for Hyper Real-time Neuronal Modeling Neural Computation 18: 2651--2679 abstract

Backofen R, Borrmann HG, Deck W, Dedner A, De Raedt L, Desch K, Diesmann M, Geier M, Greiner A, Hess WR, Honerkamp J, Jankowski S, Krossing I, Liehr AW, Karwath A, Kloefkorn R, Pesche R, Potjans T, Roettger MC, Schmiedt-Thieme L, Schneider G, Voss B, Wiebelt B, Wienemann P, Winterer VH (2006) A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative PIK - Praxis der Informationsverarbeitung 29:81--87

Gewaltig M-O and Diesmann M (2006) Exploring large-scale models of neural systems with the Neural Simulation Tool NEST Computational Neuroscience Meeting CNS*06, S49, Edinburgh, UK

Eppler J M, Morrison M, Diesmann M, Plesser, H E, and Gewaltig, M-O Parallel and Distributed Simulation of Large Biological Neural Networks with NEST Computational Neuroscience Meeting CNS*06, S48, Edingburgh, UK

Morrison A, Aertsen A and Diesmann M (2006) Spike-timing dependent plasticity in balanced random networks Computational Neuroscience Meeting CNS*06, T79, Edinburgh, UK

Plesser, H E, Morrison A, Straube S, and Diesmann M (2006) Precise and efficient discrete time neural network simulation Computational Neuroscience Meeting CNS*06, S51, Edinburgh, UK

Goedeke, S.; Geisel, T. & Diesmann, M. (2005) On neuronal mechanisms determining synchronization dynamics in cortical feed-forward networks. In: Zimmermann, H. & Kriegelstein, K. (ed.) Proceedings of the 30th Göttingen Neurobiology Conference, Neuroforum Supplement 1, 210B pdf

Mayor, J. & Gerstner, W. (2005) Noise-enhanced computation in a model of a cortical column. Neuroreport 16 : 1237-1240 pdf

Morrison, A.; Hake, J.; Straube, S.; Plesser, H.E. & Diesmann, M. (2005) Precise spike timing with exact subthreshold integration in discrete time network simulations. Proceedings of the 30th Göttingen Neurobiology Conference, 205B pdf

Morrison, A.; Mehring, C.; Geisel, T.; Aertsen, A. & Diesmann, M. (2005) Advancing the boundaries of high connectivity network simulation with distributed computing. Neural computation 17 : 1776-1801 abstract

Schöner, D.; Tetzlaff, T.; Aertsen, A. & Diesmann, M. (2005) Dynamics of rate and correlation in balanced random networks. Proceedings of the 30th Göttingen Neurobiology Conference, pdf

Tetzlaff, T.; Morrison, A.; Timme, M. & Diesmann, M. (2005) Heterogeneity breaks global synchrony in large networks. Proceedings of the 30th Göttingen Neurobiology Conference, pdf

Morrison, A.; Aertsen, A. & Diesmann, M. (2004) Stability of Plastic Recurrent Networks. The Monte Verita Workshop on Spike-Timing Dependent Plasticity (STDP)

Tetzlaff, T.; Morrison, A.; Geisel, T. & Diesmann, M. (2004) Consequences of Realistic Network Size on the Stability of Embedded Synfire Chains. Neurocomputing 58-60:117-121

Veredas, F. J., Vico, F. J. & Alonso, J. M (2004) A computational tool to simulate correlated activity in neural circuits Journal of Neuroscience Methods 136: 23–32 pdf

Aviel, Y.; Mehring, C.; Abeles, M. & Horn, D. (2003) On embedding synfire chains in a balanced network. Neural computation 15 : 1321-1340 abstract

Schmucker, M.; Körner, U.; Körner, E.; Gewaltig, M. & Wachtler, T. (2003) A model of rapid surface detection in primate visual cortex. In: Elsner, N. & Zimmermann, H. (ed.) The Neurosciences from Basic Research to Therapy: Proceedings of the 29th Göttingen Neurobiology Conference, 666 , Thieme

Tetzlaff, T.; Buschermöhle, M.; Geisel, T. & Diesmann, M. (2003) The spread of rate and correlation in stationary cortical networks. Neurocomputing 52--54 : 949-954 abstract

Diesmann, M. & Gewaltig, M. (2002) NEST: An Environment for Neural Systems Simulations. In: Plesser, T. & Macho, V. (ed.) Forschung und wisschenschaftliches Rechnen, Beiträge zum Heinz-Billing-Preis 2001, 58 : 43-70 , Ges. für Wiss. Datenverarbeitung pdf

Marc-Oliver Gewaltig; Ursula Körner & Edgar Körner (2002) A model of surface detection and orientation tuning in primate visual cortex. In: Eric de Schutter (ed.) Computational Neuroscience: Trends in Research 2002, Elsevier Science

Marc-Oliver Gewaltig; Andreas Richter & Rüdiger Kupper (2002) BLISS: Towards the simulation of brain-like systems. Neurocomputing 44--46 : 805-810 abstract

Tetzlaff, T.; Geisel, T. & Diesmann, M. (2002) The ground state of cortical feed-forward networks. Neurocomputing 44--46 : 673-678 abstract

Diesmann, M.; Gewaltig, M.; Rotter, S. & Aertsen, A. (2001) State space analysis of synchronous spiking in cortical neural networks. Neurocomputing 38--40 : 565-571 abstract

Gewaltig, M.; Diesmann, M. & Aertsen, A. (2001) 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 657-673 pdf

Gewaltig, M. (2000) Evolution of Synchronous Spike Volleys in Cortical Networks -- Network Simulations and Continuous Probabilistic Models. , Shaker , ISBN-10: 3826575091

Diesmann M, Gewaltig M-O, Aertsen A. (1999) Stable propagation of synchronous spiking in cortical neural networks Nature 402, 529-533 (2 December 1999), doi:10.1038/990101

Rotter S, Diesmann M (1999) Exact Digital Simulation of Time-Invariant Linear Systems with Applications to Neuronal Modeling Biological Cybernetics 81:381-402 abstract

Xavier Giannakopoulos (1997) Study of a Neuromimetical Network for Recognizing Complex Sounds. pdf

Diesmann, M.; Gewaltig, M. & Aertsen, A. (1995) SYNOD: an Environment for Neural Systems Simulations. Language Interface and Tutorial. , Weizmann Institute of Science pdf