Mikael Djurfeldt - Publications

Affiliations: 
Royal Institute of Technology, Stockholm, Stockholms län, Sweden 

21 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 Senk J, Kriener B, Djurfeldt M, Voges N, Jiang HJ, Schüttler L, Gramelsberger G, Diesmann M, Plesser HE, van Albada SJ. Connectivity concepts in neuronal network modeling. Plos Computational Biology. 18: e1010086. PMID 36074778 DOI: 10.1371/journal.pcbi.1010086  0.463
2017 Brocke E, Djurfeldt M, Bhalla US, Kotaleski JH, Hanke M. Multirate method for co-simulation of electrical-chemical systems in multiscale modeling. Journal of Computational Neuroscience. PMID 28389716 DOI: 10.1007/S10827-017-0639-7  0.478
2016 Brocke E, Bhalla US, Djurfeldt M, Hellgren Kotaleski J, Hanke M. Efficient Integration of Coupled Electrical-Chemical Systems in Multiscale Neuronal Simulations. Frontiers in Computational Neuroscience. 10: 97. PMID 27672364 DOI: 10.3389/Fncom.2016.00097  0.434
2016 Weidel P, Djurfeldt M, Duarte RC, Morrison A. Closed Loop Interactions between Spiking Neural Network and Robotic Simulators Based on MUSIC and ROS. Frontiers in Neuroinformatics. 10: 31. PMID 27536234 DOI: 10.3389/Fninf.2016.00031  0.459
2014 Djurfeldt M, Davison AP, Eppler JM. Efficient generation of connectivity in neuronal networks from simulator-independent descriptions. Frontiers in Neuroinformatics. 8: 43. PMID 24795620 DOI: 10.3389/Fninf.2014.00043  0.541
2012 Crook SM, Bednar JA, Berger S, Cannon R, Davison AP, Djurfeldt M, Eppler J, Kriener B, Furber S, Graham B, Plesser HE, Schwabe L, Smith L, Steuber V, van Albada S. Creating, documenting and sharing network models. Network (Bristol, England). 23: 131-49. PMID 22994683 DOI: 10.3109/0954898X.2012.722743  0.536
2012 Djurfeldt M. The connection-set algebra--a novel formalism for the representation of connectivity structure in neuronal network models. Neuroinformatics. 10: 287-304. PMID 22437992 DOI: 10.1007/S12021-012-9146-1  0.515
2011 Djurfeldt M. The Connection-set Algebra: a formalism for the representation of connectivity structure in neuronal network models, implementations in Python and C++, and their use in simulators Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P80  0.521
2011 Brocke E, Djurfeldt M. Efficient spike communication in the MUSIC multi-simulation framework Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P79  0.504
2011 Nazem A, Kootstra G, Kragic D, Djurfeldt M. Interfacing a parallel simulation of a neuronal network to robotic hardware using MUSIC, with application to real-time figure-ground segregation Bmc Neuroscience. 12: P78. DOI: 10.1186/1471-2202-12-S1-P78  0.445
2011 Brandi M, Brocke E, Talukdar H, Hanke M, Bhalla US, Kotaleski J, Djurfeldt M. Connecting MOOSE and NeuroRD through MUSIC: towards a communication framework for multi-scale modeling Bmc Neuroscience. 12: P77. DOI: 10.1186/1471-2202-12-S1-P77  0.378
2011 Raikov I, Cannon R, Clewley R, Cornelis H, Davison A, De Schutter E, Djurfeldt M, Gleeson P, Gorchetchnikov A, Plesser HE, Hill S, Hines M, Kriener B, Le Franc Y, Lo C, et al. NineML: the network interchange for ne uroscience modeling language Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P330  0.437
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  0.674
2008 Djurfeldt M, Ekeberg O, Lansner A. Large-scale modeling - a tool for conquering the complexity of the brain. Frontiers in Neuroinformatics. 2: 1. PMID 18974793 DOI: 10.3389/Neuro.11.001.2008  0.632
2008 Djurfeldt M, Lundqvist M, Johansson C, Rehn M, Ekeberg OO, Lansner A. Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer Ibm Journal of Research and Development. 52: 31-42. DOI: 10.1147/Rd.521.0031  0.694
2008 Ekeberg Ö, Djurfeldt M. MUSIC – Multisimulation Coordinator: Request For Comments Nature Precedings. 3: 1-1. DOI: 10.1038/Npre.2008.1830.1  0.418
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  0.664
2007 Djurfeldt M, Lansner A. Workshop report: 1st INCF Workshop on Large-scale Modeling of the Nervous System Nature Precedings. 2: 1-1. DOI: 10.1038/Npre.2007.262.1  0.631
2006 Lundqvist M, Rehn M, Djurfeldt M, Lansner A. Attractor dynamics in a modular network model of neocortex. Network (Bristol, England). 17: 253-76. PMID 17162614 DOI: 10.1080/09548980600774619  0.642
2001 Djurfeldt M, Ekeberg O, Graybiel AM. Cortex-basal ganglia interaction and attractor states Neurocomputing. 38: 573-579. DOI: 10.1016/S0925-2312(01)00413-1  0.547
1999 Djurfeldt M, Sandberg A, Ekeberg O, Lansner A. See - A framework for simulation of biologically detailed and artificial neural networks and systems Neurocomputing. 26: 997-1003. DOI: 10.1016/S0925-2312(99)00096-X  0.657
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