Antolik and Davison 2013 | Antolik, J. and Davison, A.P. | Integrated workflows for spiking neuronal network simulations | Front. Neuroinform. (2013) 7:34 doi:10.3389/fninf.2013.00034 |
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Brüderle et al. 2011 | Brüderle, D., Petrovici, M. A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.-O., de Oliveira, D. H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A. P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T. C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K. | A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems | Biological Cybernetics (2011) 104(4-5): 263-296 doi:10.1007/s00422-011-0435-9 |
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Davison 2012 | Davison, A. P. | Automated Capture of Experiment Context for Easier Reproducibility in Computational Research | Computing in Science and Engineering (2012) 14: 48-56 doi:10.1109/MCSE.2012.41 |
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Djurfeldt et al. 2014 | Djurfeldt, M., Davison, A.P. and Eppler, J.M. | Efficient generation of connectivity in neuronal networks from simulator-independent descriptions | Front. Neuroinform. (2014) 8:43 doi:10.3389/fninf.2014.00043 |
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Garcia et al. 2014 | Garcia, S., Guarino, D., Jaillet, F., Jennings, T.R., Pröpper, R., Rautenberg, P.L., Rodgers, C., Sobolev, A., Wachtler, T., Yger, P. and Davison, A.P. | Neo: an object model for handling electrophysiology data in multiple formats | Front. Neuroinform. (2014) 8:10 doi:10.3389/fninf.2014.00010 |
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Vella et al. 2014 | Vella, M., Cannon, R.C., Crook, S., Davison, A.P., Ganapathy, G., Robinson, H.P.C., Silver, R.A. and Gleeson, P. | libNeuroML and PyLEMS: using Python to combine procedural and declarative modelling approaches in computational neuroscience | Frontiers in Neuroinformatics (2014) 8: 38 doi:10.3389/fninf.2014.00038 |
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Crook et al. 2012 | Crook, 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 models | Network: Computation in Neural Systems (2012) 23(4): 131-149 doi:10.3109/0954898X.2012.722743 |
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Crook et al. 2013 | Crook., S. M., Davison, A. P. and Plesser, H. E. | Learning from the past: approaches for reproducibility in computational neuroscience | In: J.M. Bower (Ed.), 20 Years of Computational Neuroscience, Springer, ISBN 978-1-4614-1423-0 doi:10.1007/978-1-4614-1424-7_4 |
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Davison et al. 2014 | Davison, A.P., Mattioni, M., Samarkanov, D. and Telenczuk, B. | Sumatra: A Toolkit for Reproducible Research | In: Implementing Reproducible Research (2014), edited by V. Stodden, F. Leisch and R.D. Peng, Chapman & Hall/CRC: Boca Raton, Florida., pp. 57-79 | abstract |
Davison 2011 | Davison, A. | Using PyNN and NineML | Talk at CNS*2011 Workshop: Emerging standards for network modeling | |
Davison 2013 | Davison, A. | Provenance tracking for complex data analysis workflows in neuroscience | 10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, March (2013). | |
Davison 2013b | Davison, A. | PyNN: a simulator-independent platform for large scale, data-driven neuronal simulations | Cosyne workshops, Snowbird, Utah, USA, March (2013) | |
Denker et al. 2014 | Denker, M., Abrams, M., Wachtler, T., Davison, A. and Grün, S. | INCF workshop report: New perspectives on workflows and data management for the analysis of electrophysiological data. | Neuroinformatics 2014, Leiden, Netherlands, 08/25/2014 - 08/27/2014 doi:10.3389/conf.fninf.2014.18.00021 |
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Denker et al. 2014b | Denker, M., Zehl, L., Yegenoglu, A., Wachtler, T., Davison, A. and Grün, S. | Improving Workflows and Data Management for the Analysis of Electrophysiological Data | Advances in Neuroinformatics 2014, AINI2014, Wako-shi, Japan, 09/25/2014 - 09/26/2014 |
Antolik and Davison 2013b | Antolik, J. and Davison, A.P. | Mozaik: a framework for model construction, simulation, data analysis and visualization for large-scale spiking neural circuit models | Neuroinformatics 2013, Stockholm, Sweden, August (2013) doi:10.3389/conf.fninf.2013.09.00018 |
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Davison 2011b | Davison, A. | Collaborative and reproducible simulation and data analysis with Sumatra | Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics doi:10.3389/conf.fninf.2011.08.00079 |
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Davison 2011c | Davison, A. | Automated tracking of scientific computations | AMP 2011: Reproducible Research-Tools and Strategies for Scientific Computing, Vancouver, Canada, July 2011 | |
Davison et al. 2013 | Davison, 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 forest | Neuroinformatics 2013, Stockholm, Sweden, August (2013). doi:10.3389/conf.fninf.2013.09.00020 |
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Davison et al. 2013b | Davison, A.P., Brizzi, T., Guarino, D., Manette, O.F., Monier, C., Sadoc, G. and Frégnac, Y. | Helmholtz: a customizable framework for neurophysiology data management | Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013) doi:10.3389/conf.fninf.2013.09.00025 |
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Denker et al. 2011a | Denker, M., Davison, A., Grün, S. and Diesmann, M. | How collaborative projects that involve complicated electrophysiological data sets profit from workflow design | Poster at the 4th INCF Congress of Neuroinformatics, Boston, USA doi:10.3389/conf.fninf.2011.08.00080 |
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Denker et al. 2011b | Denker, M., Davison, A., Grün, S. and Diesmann, M. | Towards guiding principles in workflow design to facilitate collaborative projects involving massively parallel electrophysiological data | BMC Neuroscience 2011, 12(Suppl 1):P131 doi:10.1186/1471-2202-12-S1-P131 |
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Denker et al. 2015 | Denker, M., Yegenoglu, A., Holstein, D., Torre, E., Jennings, T., Davison, A. and Grün, S. | elephant: An open-source tool for the analysis of electrophysiological data | Proceedings of the 11th Meeting of the German Neuroscience Society, Neuroforum (2015) T27-2B | |
Eppler et al. 2012 | Eppler, J. M., Djurfeldt, M., Muller, E., Diesmann, M. and Davison, A. | Combining simulator independent network descriptions with run-time interoperability based on PyNN and MUSIC | In Conference Abstract: 5th INCF Congress of Neuroinformatics, Front. Neuroinform. (2012) | |
Gorchetchnikov et al. 2011 | Gorchetchnikov, 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 networks | Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics doi:10.3389/conf.fninf.2011.08.00098 |
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Plesser et al. 2011 | Plesser, H.E., Crook, S. and Davison, A.P. | Reproducible models and reliable simulations: Current trends in computational neuroscience | SIAM Computational Science and Engineering 2011, Reno, Nevada, February 2011 | |
Raikov et al. 2011 | Raikov, 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 language | BMC Neuroscience 2011, 12(Suppl 1):P330 doi:10.1186/1471-2202-12-S1-P330 |
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Teeters et al. 2013 | Teeters, J.L., Benda, J., Davison, A.P., Eglen, S., Gerhard, S., Gerkin, R.C., Grewe, J., Harris, K., Jackson, T., Moucek, R., Pröpper, R., Sessions, H.L., Smith, L.S., Sobolev, A., Sommer, F.T., Stoewer, A. and Wachtler, T. | Considerations for developing a standard for storing electrophysiology data in HDF5 | Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013) doi:10.3389/conf.fninf.2013.09.00069 |
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