| Year |
Citation |
Score |
| 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 |
0.6 |
|
| 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 |
0.6 |
|
| 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 |
0.6 |
|
| 2012 |
Kootstra G, Wilming N, Schmidt NM, Djurfeldt M, Kragic D, König P. Learning and adaptation of sensorimotor contingencies: Prism-adaptation, a case study Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7426: 341-350. DOI: 10.1007/978-3-642-33093-3_34 |
0.6 |
|
| 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 |
0.6 |
|
| 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 |
0.6 |
|
| 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 |
0.6 |
|
| 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 |
0.6 |
|
| 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 |
0.6 |
|
| 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 |
0.6 |
|
| 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 |
0.6 |
|
| 1990 |
Schalling M, Djurfeldt M, Hökfelt T, Ehrlich M, Kurihara T, Greengard P. Distribution and cellular localization of DARPP-32 mRNA in rat brain. Brain Research. Molecular Brain Research. 7: 139-49. PMID 2160041 DOI: 10.1016/0169-328X(90)90091-Q |
0.6 |
|
| 1988 |
Schalling M, Dagerlind A, Brené S, Hallman H, Djurfeldt M, Persson H, Terenius L, Goldstein M, Schlesinger D, Hökfelt T. Coexistence and gene expression of phenylethanolamine N-methyltransferase, tyrosine hydroxylase, and neuropeptide tyrosine in the rat and bovine adrenal gland: effects of reserpine. Proceedings of the National Academy of Sciences of the United States of America. 85: 8306-10. PMID 2903502 |
0.6 |
|
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