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A. Morrison, M. Diesmann, and W. Gerstner (2008) Phenomenological Models of Synaptic Plasticity based on Spike-Timing. Biological Cybernetics 98(6): 459-478

A. Morrison, and M. Diesmann (2008) Maintaining Causality in Discrete Time Neuronal Network Simulations. In: Lectures in supercomputational neuroscience: dynamics in complex brain networks. Chap. IV.10. P. Beim Graben, C. Zhou, M. Thiel, and J. Kurths eds.

S. Goedeke, and M. Diesmann (2008) The mechanism of synchronization in feed-forward neuronal networks. New Journal of Physics 10:015007 DOI: 10.1088/1367-2630/10/1/015007

M. Djurfeldt, M. Lundqvist, C. Johansson, M. Rehn, Ö. Ekeberg, and A. Lansner (2008) Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer IBM Journal of Research and Development - Applications of Massively Parallel Systems Volume 52, Number 1/2, 2008 DOI: 10.1147/rd.521.0031

Bruederle, D., Gruebl, A., Meier, K., Mueller, E. and Schemmel, J. A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology. In Proceedings of the 2007 International Work-Conference on Artificial Neural Networks (IWANN'07), Springer LNCS 4507

Cannon R. C., Gewaltig M.-O, Gleeson, P., Bhalla U. S., Cornelis H., Hines M. L., Howell F. W., Muller E., Stiles J. R., Wils S., De Schutter E. (2007) Interoperability of Neuroscience Modeling Software: Current Status and Future Directions Neuroinformatics COI 10.1007/s12021-007-0004-5

Gewaltig M-O & Diesmann M (2007) NEST. Scholarpedia 2(4):1430

M. Djurfeldt and A. Lansner (2007) Report of the 1st INCF Workshop on Large-scale Modeling of the Nervous System. Report

Brette R., Rudolph M., Carnevale T., Hines M., Beeman D., Bower J. M.,Diesmann M., Morrison A., Goodman P. H., Harris Jr. F. C., Zirpe M., Natschläger T., Pecevski D., Ermentrout B., Djurfeldt M., Lansner A., Rochel O., Vieville T., Muller E., Davison A. P., El Boustani S., Destexhe A (2007) Simulation of networks of spiking neurons: A review of tools and strategies. Journal of Computational Neuroscience 23(3): 349-398 abstract

Plesser H.E., Eppler J.M., Morrison A., Diesmann M., Gewaltig M.-O. (2007) Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers. Lecture Notes in Computer Science Volume 4641/2007, p 672-681

Eppler, Plesser, Morrison, Diesmann, Gewaltig (2007) Multithreaded and Distributed Simulation of Large Biological Neuronal Networks. Lecture Notes in Computer Science Volume 4757/2007, p 391-392

Morrison, A.; Aertsen, A. & Diesmann, M. (2007) Spike-Timing-Dependent Plasticity in Balanced Random Networks. Neural computation 19: 1437-1467 abstract

Morrison, A.; Straube, S.; Plesser, H.E. & Diesmann, M. (2007) Exact subthreshold integration with continuous spike times in discrete time neural network simulations. Neural computation 19: 47-79 abstract

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)

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 corticalsynfire 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

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