Publications of Djurfeldt, M

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9 publication entries, 2 of them (printed in bold in the list) acknowledge the project support.
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Review
Conference contribution: poster

Paper (reviewed)

Djurfeldt 2012Djurfeldt, M. The Connection-set Algebra - A Novel Formalism for the Representation of Connectivity Structure in Neuronal Network ModelsNeuroinformatics (2012) 10(3): 287-304
doi:10.1007/s12021-012-9146-1
Djurfeldt et al. 2014Djurfeldt, M., Davison, A.P. and Eppler, J.M. Efficient generation of connectivity in neuronal networks from simulator-independent descriptionsFront. Neuroinform. (2014) 8:43
doi:10.3389/fninf.2014.00043
fulltext

Review

Crook et al. 2012Crook, S. M., Bednar, J. A., Berger, S., Cannon, R., Davison, A. P., Djurfeldt, M., Eppler, J., Kriener, B., Furber, S., Graham, B., Plesser, H. E., Schwabe, L., Smith, L., Steuber, V. and van Albada, S.Creating, documenting and sharing network modelsNetwork: Computation in Neural Systems (2012) 23(4): 131-149
doi:10.3109/0954898X.2012.722743
abstract, fulltext

Conference contribution: poster

Davison et al. 2013Davison, A.P., Djurfeldt, M., Eppler, J.M., Gleeson, P., Hull, M. and Muller, E.B.An integration layer for neural simulation: PyNN in the software forestNeuroinformatics 2013, Stockholm, Sweden, August (2013).
doi:10.3389/conf.fninf.2013.09.00020
abstract
Djurfeldt 2011Djurfeldt, 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 simulatorsBMC Neuroscience 2011, 12(Suppl 1):P80
doi:10.1186/1471-2202-12-S1-P80
abstract
Eppler et al. 2011bEppler, J.M., Enger, H., Heiberg, T., Kriener, B., Plesser, H.E., Diesmann, M. and Djurfeldt, M.Evaluating the Connection-Set Algebra for the neural simulator NESTPoster at the 4th INCF Congress of Neuroinformatics, Boston, USA
doi:10.3389/conf.fninf.2011.08.00085
abstract
Eppler et al. 2012Eppler, J. M., Djurfeldt, M., Muller, E., Diesmann, M. and Davison, A.Combining simulator independent network descriptions with run-time interoperability based on PyNN and MUSICIn Conference Abstract: 5th INCF Congress of Neuroinformatics, Front. Neuroinform. (2012)
Gorchetchnikov et al. 2011Gorchetchnikov, A., Cannon, R., Clewley, R., Cornelis, H., Davison, A., De Schutter, E., Djurfeldt, M., Gleeson, P., Hill, S., Hines, M., Kriener, B., Le Franc, Y., Lo, C.-C., Morrison, A., Muller, E., Plesser, H.E., Raikov, I., Ray, S., Schwabe, L. and Szatmary, B.NineML: declarative, mathematically-explicit descriptions of spiking neuronal networksFront. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics
doi:10.3389/conf.fninf.2011.08.00098
abstract
Raikov et al. 2011Raikov, I., Cannon, R., Clewley, R., Cornelis, H., Davison, A., De Schutter, E., Djurfeldt, M., Gleeson, P., Gorchetchnikov, A., Plesser, H.E., Hill, S., Hines, M., Kriener, B., Le Franc, Y., Lo, C.-C., Morrison, A., Muller, E., Ray, S., Schwabe, L. and Szatmary, B. NineML: the network interchange for neuroscience modeling languageBMC Neuroscience 2011, 12(Suppl 1):P330
doi:10.1186/1471-2202-12-S1-P330
abstract


 
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26 August 2016