Publications

[Extracted from DiVA, the publication database at KTH.]

Weidel, P.; Djurfeldt, M.; Duarte, R.; Morrison, A. (2016):
Closed Loop Interactions between Spiking Neural Network and Robotic Simulators Based on MUSIC and ROS.
Frontiers in Neuroinformatics 10: [Details]
Djurfeldt, M.; Davison, A.; Eppler, J. (2014):
Efficient generation of connectivity in neuronal networks from simulator-independent descriptions.
Frontiers in Neuroinformatics 8: 43 [Details]
Kootstra, G.; Wilming, N.; Schmidt, N.; Djurfeldt, M.; Kragic, D.; König, P. (2012):
Learning and adaptation of sensorimotor contingencies - Prism-adaptation, a case study.
[Conference paper] 12th International Conference on Simulation of Adaptive Behavior, SAB 2012; Odense; 27 August 2012 through 30 August 2012; From Animals to Animats 12 341-350 [Details]
Crook, S.; Bednar, J.; Berger, S.; Cannon, R.; Davison, A.; Djurfeldt, M.; Eppler, J.; Kriener, B.; Furber, S.; Graham, B.; Plesser, H.; Schwabe, L.; Smith, L.; Steuber, V.; Van Albada, S. (2012):
Creating, documenting and sharing network models.
Network 23: 131-149 [Details]
Djurfeldt, M. (2012):
The Connection-set Algebra-A Novel Formalism for the Representation of Connectivity Structure in Neuronal Network Models.
Neuroinformatics 10: 287-304 [Details]
Nazem, A.; Kootstra, G.; Kragic, D.; Djurfeldt, M. (2011):
Parallel implementation of a biologically inspired model of figure-ground segregation - Application to real-time data using MUSIC.
Frontiers in Neuroinformatics : [Details]
Nazem, A.; Kootstra, G.; Kragic, D.; Djurfeldt, M. (2011):
Interfacing a parallel simulation of a neuronal network to robotic hardware using MUSIC, with application to real-time figure-ground segregation..
BMC neuroscience (Online) 12: 78-78 [Details]
Brandi, M.; Brocke, E.; Talukdar, H.; Hanke, M.; Bhalla, U.; Djurfeldt, M.; Hellgren Kotaleski, J. (2011):
Multiscale modeling through MUSIC multi-simulation - Modeling a dendritic spine using MOOSE and NeuroRD.
[Conference paper] 4th INCF Congress of Neuroinformatics, Boston, USA, 4 Sep - 6 Sep, 2011; Front. Neuroinform. Conference Abstract [Details]
Brocke, E.; Djurfeldt, M. (2011):
Efficient spike communication in the MUSIC multi-simulation framework.
[Conference paper] CNS*2011, Stockholm, July 23-28; Twentieth Annual Computational Neuroscience Meeting [Details]
Brandi, M.; Brocke, E.; Talukdar, H.; Hanke, M.; Bhalla, U.; Hällgren-Kotaleski, J.; Djurfeldt, M. (2011):
Connecting MOOSE and NeuroRD through MUSIC - towards a communication framework for multi-scale modeling.
[Conference paper] Computational Neuroscience, Stockholm, Sweden, 23-28 July 2011; Twentieth Annual Computational Neuroscience Meeting [Details]
Djurfeldt, M. (2011):
The Connection-set Algebra - a formalism for therepresentation of connectivity structure inneuronal network models, implementations in Python and C++, and their use in simulators.
[Conference paper] Twentieth Annual Computational Neuroscience Meeting: CNS*2011. Stockholm, Sweden. 23-28 July 2011; Twentieth Annual Computational Neuroscience Meeting: [Details]
Raikov, I.; Cannon, R.; Clewley, R.; Cornelis, H.; Davison, A.; De Schutter, E.; Djurfeldt, M.; Gleeson, P.; Gorchetnikov, A.; Plesser, H.; Hill, S.; Hines, M.; Kriener, B.; Le Franc, Y.; Lo, C.; Morrison, A.; Muller, E.; Ray, S.; Schwabe, L.; Szatmary, B. (2011):
NineML - the network interchange for neuroscience modeling language.
[Conference paper] Computational neuroscience, CNS 2011, Stockholm, July 23-28 2011; Twentieth Annual Computational Neuroscience Meeting [Details]
Djurfeldt, M.; Hjorth, J.; Eppler, J.; Dudani, N.; Helias, M.; Potjans, T.; Bhalla, U.; Diesmann, M.; Hellgren Kotaleski, J.; Ekeberg, Ö. (2010):
Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework.
Neuroinformatics 8: 43-60 [Details]
Djurfeldt, M. (2009):
Large-scale simulation of neuronal systems.
Doctoral thesis, comprehensive summary [Details]
Djurfeldt, M.; Lansner, A. (2008):
Memory capacity in a model of cortical layers II/III.
[Conference paper] Neuroinformatics 2008. Stockholm, Sweden. 7 Sep - 9 Sep 2008; [Details]
Djurfeldt, M.; Lundqvist, M.; Johansson, C.; Rehn, M.; Ekeberg, Ö.; Lansner, A. (2008):
Brain-scale simulation of the neocortex on the IBM Blue Gene/L  supercomputer.
IBM Journal of Research and Development 52: 31-41 [Details]
Djurfeldt, M.; Ekeberg, Ö.; Lansner, A. (2008):
Large-scale modeling - a tool for conquering the complexity of the brain.
Frontiers in Neuroinformatics 2: 1-4 [Details]
Djurfeldt, M.; Lansner, A. (2007):
1st INCF Workshop on Large-scale Modeling of the Nervous System.
Report [Details]
Brette, R.; Rudolph, M.; Carnevale, T.; Hines, M.; Beeman, D.; Bower, J.; Diesmann, M.; Morrison, A.; Goodman, P.; Harris, F.; Zirpe, M.; Natschlaeger, T.; Pecevski, D.; Ermentrout, B.; Djurfeldt, M.; Lansner, A.; Rochel, O.; Vieville, T.; Muller, E.; Davison, A.; El Boustani, S.; Destexhe, A. (2007):
Simulation of networks of spiking neurons - A review of tools and strategies.
Journal of Computational Neuroscience 23: 349-398 [Details]
Lundqvist, M.; Rehn, M.; Djurfeldt, M.; Lansner, A. (2006):
Attractor dynamics in a modular network model of neocortex.
Network 17: 253-276 [Details]
Fransén, E.; Kozlov, A.; Xie, Y.; Christensen, C.; Djurfeldt, M.; Ekeberg, Ö.; Lansner, A. (2005):
Evaluation of model scalability in parallel neural simulators.
[Conference paper] WAM-BAMM*05; [Details]
Djurfeldt, M.; Johansson, C.; Ekeberg, Ö.; Rehn, M.; Lundqvist, M.; Lansner, A. (2005):
Massively parallel simulation of brain-scale neuronal network models.
Report [Details]
Djurfeldt, M.; Ekeberg, Ö.; Graybiel, A. (2001):
Cortex-basal ganglia interaction and attractor states.
Neurocomputing 38-40: 573-579 [Details]
Djurfeldt, M.; Sandberg, A.; Ekeberg, Ö.; Lansner, A. (1999):
See-A framework for simulation of biologically detailed and artificial neural networks and systems.
Neurocomputing 26-27: 997-1003 [Details]
Brocke, E.; Djurfeldt, M. ():
Efficient Spike Communication in the MUSIC Framework on a Blue Gene/Q Supercomputer.
Manuscript (preprint) [Details]