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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