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Andrew Davison: Publications

Journal articles and book chapters

  • 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. (2012) Creating, documenting and sharing network models.. Network: Computation in Neural Systems 23: 131-149. [Abstract] [BibTeX] [preprint] [Informa]
  • Davison A.P. (2012) Collaborative modelling: the future of computational neuroscience?. Network: Computation in Neural Systems 23: 157-166. [Abstract] [BibTeX] [preprint] [Informa]
  • Davison A.P. (2012) Automated capture of experiment context for easier reproducibility in computational research. Computing in Science and Engineering 14: 48-56. [Abstract] [BibTeX] [CiSE] [preprint]
  • Brüderle D., Petrovici M.A., Vogginger B., Ehrlich M., Pfeil T., Millner S., Grübl A., Wendt K., Müller E., Schwartz M.O., Husmann de Oliveira D., 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., Meier K. (2011) A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems. Biological Cybernetics 104: 263-296. [Abstract] [BibTeX] [arXiv] [SpringerLink]
  • Gleeson P., Crook S., Cannon R.C., Hines M.L., Billings, G.O., Farinella M., Morse T.M., Davison A.P., Ray S., Bhalla U.S., Barnes S.R., Dimitrova Y.D. and Silver, R.A. (2010) NeuroML: A language for describing data driven models of neurons and networks with a high degree of biological detail. PLoS Computational Biology 6: e1000815-. [Abstract] [BibTeX] [PLoS]
  • Davison A.P., Hines M. and Muller E. (2009) Trends in programming languages for neuroscience simulations. Frontiers in Neuroscience 3:3: doi:10.3389/neuro.01.036.2009-. [Abstract] [BibTeX] [Full text]
  • Marre O., Yger P., Davison A.P. and Frégnac Y. (2009) Reliable recall of spontaneous activity patterns in cortical networks. The Journal of Neuroscience 29: 14596-14606. [Abstract] [BibTeX]
  • Bruederle D., Muller E., Davison A., Muller E., Schemmel J. and Meier K. (2009) Establishing a Novel Modeling Tool: A Python-based Interface for a Neuromorphic Hardware System. Frontiers in Neuroinformatics 3:17: doi:10.3389/neuro.11.017.2009-. [Abstract] [BibTeX] [Frontiers]
  • Hines M.L., Davison A.P. and Muller E. (2009) NEURON and Python. Frontiers in Neuroinformatics 3:1: doi:10.3389/neuro.11.001.2009-. [Abstract] [BibTeX] [Frontiers]
  • Davison A.P., Brüderle D., Eppler J.M., Kremkow, J., Muller E., Pecevski D.A., Perrinet L. and Yger P. (2009) PyNN: a common interface for neuronal network simulators. Frontiers in Neuroinformatics 2:11: doi:10.3389/neuro.11.011.2008-. [Abstract] [BibTeX] [Frontiers]
  • Frégnac Y., Rudolph M., Davison A.P. and Destexhe A. (2007) Complexity in Neuronal Networks. In: Biological Networks, edited by François Képès, World Scientific: Singapore, pp. 291-338. [BibTeX] [Google Book Search]
  • R. Brette and 21 others (2007) Simulation of networks of spiking neurons: A review of tools and strategies. Journal of Computational Neuroscience 23: 349-398. [Abstract] [BibTeX] [Preprint from arXiv] [get the models from ModelDB] [PubMed]
  • Davison A.P. and Frégnac Y. (2006) Learning crossmodal spatial transformations through spike-timing-dependent plasticity. The Journal of Neuroscience 26: 5604-5615. [Abstract] [BibTeX] [get the model from ModelDB] [PubMed] [full text]
  • Badoual M., Zou Q., Davison A.P., Rudolph M., Bal T., Frégnac Y. and Destexhe A. (2006) Biophysical and phenomenological models of multiple spike interactions in spike-timing dependent plasticity. International Journal of Neural Systems 16: 79-97. [Abstract] [BibTeX] [PubMed] [full text] [get the model from ModelDB]
  • Davison A.P. (2004) Biologically-detailed network modelling. In: Computational Neuroscience: A Comprehensive Approach, edited by J. Feng, Chapman and Hall/CRC Press: Boca Raton, pp. 287-304. [BibTeX]
  • Davison A.P., Feng J. and Brown D. (2003) Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model. Journal of Neurophysiology 90: 1921-1935. [Abstract] [BibTeX] [get the model from ModelDB] [PubMed] [full text]
  • Davison A.P., Morse T.M., Migliore M., Marenco L., Shepherd G.M. and Hines M.L. (2002) ModelDB: A Resource for Neuronal and Network Modeling. In: Neuroscience Databases: A Practical Guide, edited by R. Kötter, Kluwer Academic Publishers: Norwell, MA, pp. 99-109. [Abstract] [BibTeX]
  • Davison A.P. and Shepherd G.M. (2002) Olfactory Bulb. In: The Handbook of Brain Theory and Neural Networks, 2nd Edn, edited by M. Arbib, The MIT Press: Cambridge, MA. [BibTeX]
  • Davison A.P. (2001) Mathematical modelling of information processing in the olfactory bulb. Ph.D. thesis, University of Cambridge. [Abstract] [BibTeX] [PDF]
  • Davison A.P., Feng J. and Brown D. (2000) A reduced compartmental model of the mitral cell for use in network models of the olfactory bulb. Brain Research Bulletin 51: 393-399. [Abstract] [BibTeX] [get the model from ModelDB] [PubMed] [full text]

Conference presentations

  • Davison A.P. (2013) Sumatra: a system for reproducible research.
    Workshop on Software Infrastructure for Reproducibility in Science, NYU Poly, New York, USA, May 2013. [slides]
  • Davison A.P. (2013) Provenance tracking for complex data analysis workflows in neuroscience.
    10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, March 2013. [Abstract]
  • Davison A.P. (2013) PyNN: a simulator-independent platform for large-scale data-driven neuronal simulations.
    Large-scale neuronal simulations - science, languages and platforms, Cosyne workshops, Snowbird, Utah, USA, March 2013. [slides]
  • Davison A.P. (2012) Sumatra: a toolkit for provenance capture and reuse.
    ICERM workshop on Reproducibility in Computational and Experimental Mathematics, Providence, RI, USA, December 2012. [slides]
  • Le Franc Y., Davison A.P., Gleeson P., Imam F.T., Kriener B., Larson S.D., Ray S., Schwabe L., Hill S. and De Schutter E. (2012) Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models. BMC Neuroscience 13(Suppl 1): P149-doi:10.1186/1471-2202-13-S1-P1.
    CNS*2012, Decatur, GA, USA, July 2012. [Abstract] [Proceedings]
  • Guarino D. and Davison A.P. (2012) On running neural network simulations inside databases.
    FENS, Barcelona, Spain, July 2012.
  • Gorchetchnikov A., Cannon R., Clewley R., Cornelis H., Davison A.P., 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. (2011) NineML: declarative, mathematically-explicit descriptions of spiking neuronal networks. Front. Neuroinform. Conference Abstract : doi:10.3389/conf.fninf.2011.0.
    Neuroinformatics 2011, Boston, MA, USA, September 2011. [Abstract] [Proceedings]
  • Davison A.P. (2011) Collaborative and reproducible simulation and data analysis with Sumatra. Front. Neuroinform. Conference Abstract : .
    Neuroinformatics 2011, Boston, MA, USA, September 2011. [Abstract] [Proceedings] [Poster]
  • Denker M., Davison A.P., Diesmann M. and Gruen S. (2011) How collaborative projects that involve complicated electrophysiological data sets profit from workflow design. Front. Neuroinform. Conference Abstract : .
    Neuroinformatics 2011, Boston, MA, USA, September 2011. [Abstract] [Proceedings]
  • Davison A.P. (2011) Using PyNN and NineML.
    CNS*2011 workshop: Emerging standards for network modeling , Stockholm, Sweden, July 2011. [Workshop webpage]
  • Raikov I., Cannon R., Clewley R., Cornelis H., Davison A.P., 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. (2011) NineML: the network interchange for neuroscience modeling language. BMC Neuroscience 12(Suppl 1): P330.
    CNS*2011, Stockholm, Sweden, July 2011. [Abstract] [BioMedCentral]
  • Davison A.P. (2011) Automated tracking of scientific computations.
    AMP 2011: Reproducible Research-Tools and Strategies for Scientific Computing, Vancouver, Canada, July 2011. [Abstract] [Workshop website] [slides] [YouTube] [video+slides]
  • Plesser H.E., Crook S., and Davison A.P. (2011) Reproducible models and reliable simulations: Current trends in computational neuroscience.
    SIAM Computational Science and Engineering 2011, Reno, Nevada, February 2011. [Abstract]
  • Davison A.P., Brizzi T., Manette O., Monier C. and Frégnac Y. (2010) Helmholtz: a modular tool for neuroscience databases. Front. Neurosci. Conference Abstract Neuroinformatics 2010: doi:10.3389/conf.fnins.2010.13.
    Neuroinformatics 2010, Kobe, Japan, August 2010. [Abstract] [Frontiers in Neuroscience]
  • Davison A.P. (2010) Challenges and solutions in replicability and provenance tracking for simulation projects. BMC Neuroscience 11 (Suppl. 1): P76.
    CNS*2010, San Antonio, Texas, USA, July 2010. [Abstract] [Proceedings]
  • Raikov I. and the INCF Multiscale Modeling Taskforce (2010) NineML - A description language for spiking neuron network modeling: the Abstraction Layer. BMC Neuroscience 11 (Suppl. 1): P66.
    CNS*2010, San Antonio, Texas, USA, July 2010. [Abstract] [Proceedings]
  • Gorchetchnikov A. and the INCF Multiscale Modeling Taskforce (2010) NineML - A description language for spiking neuron network modeling: the User Layer. BMC Neuroscience 11 (Suppl. 1): P71.
    CNS*2010, San Antonio, Texas, USA, July 2010. [Abstract] [Proceedings]
  • Davison A.P. (2010) Automated tracking of computational experiments using Sumatra.
    EuroSciPy 2010, Paris, France, July 2010. [Abstract] [Slides]
  • Davison A.P. (2010) Integration: a collaborative software tool-chain for neuromorphic computation.
    Frontiers in Neuromorphic Computation, Paris, France, June 2010. [Abstract] [Slides]
  • Yger P., El Boustani S., Marre O., Davison A.P., Destexhe A. and Frégnac Y. (2009) Spatial organization of evoked neuronal dynamics in 2D recurrent networks, with or without structured stimulation. BMC Neuroscience 10 (Suppl1): P94.
    CNS*2009, Berlin, July 2009. [Abstract] [Proceedings]
  • Davison A.P., Brüderle D., Kremkow J., Muller E., Pecevski D., Perrinet, L. and Yger, P. (2008) PyNN: a common interface for neuronal network simulators. Front. Neuroinform. Conference Abstract Neuroinformatics 2008: doi: 10.3389/conf.neuro.11.200.
    Neuroinformatics 2008, Stockholm, Sweden, September 2008. [Abstract] [Proceedings]
  • Yger P., Marre O., El Boustani S., Baudot P., Monier C., Levy M., Davison A.P. and Frégnac Y. (2007) Chaos control: Reliable signal propagation and pattern completion in chaotic neuronal networks.
    Society for Neuroscience Annual Meeting, San Diego, California, November 2007. [Abstract]
  • Davison A.P., Yger P., Kremkow J., Perrinet L. and Muller E. (2007) PyNN: Towards a universal neural simulator API in Python. BMC Neuroscience 8 (Suppl. 2): P2.
    CNS*2007, Toronto, July 2007. [Abstract] [Proceedings]
  • Davison A.P. (2006) Simulator-independent network modelling with Python and XML.
    Modeling the Brain's Labyrinth, Fodele, Crete, Greece, September 2006. [Abstract]
  • Davison A.P., Yger P., Chan J.S., Newell F.N. and Frégnac Y. (2006) A combined psychophysical-modelling study of the mechanisms of tactile picture perception.
    CNS*2006, Edinburgh, U.K, July 2006. [Abstract]
  • Davison A.P. (2006) NModLib: a database of components for neuroscience models.
    World Association of Modeling - Biologically Accurate Modeling Meeting, San Antonio, Texas, March 2006. [Abstract]
  • Davison A.P., Belatreche A., Fieres J., Chan J.S., Newell F.N. and Frégnac Y. (2005) The Two-Ring paradigm: a computational approach to multisensory code binding.
    International SenseMaker Workshop on Life-Like Perception Systems, Derry, U.K, April 2005. [Abstract]
  • Davison A.P. and Frégnac Y. (2004) Training a network of spiking neurons to perform coordinate transformations. Society for Neuroscience Abstracts 30: 177.4.
    Society for Neuroscience Annual Meeting, San Diego, California, November 2004.
  • Davison A.P. (2004) Learning simple computations in spiking basis function networks using spike time-dependent plasticity. FENS Forum Abstracts 2: A224.4.
    FENS, Lisbon, Portugal, June 2004. [Abstract]
  • Davison A.P., Hines M.L. and Shepherd G.M. (2002) Membrane bistability and sub-threshold oscillations in an olfactory bulb mitral cell model.
    AChemS XXIV, Sarasota, Florida, April 2002.
  • Davison A.P., Zhou Z., Hines M.L. and Shepherd G.M. (2001) Simulating sodium and potassium currents in an olfactory mitral cell model.
    Society for Neuroscience Annual Meeting, San Diego, California, November 2001. [Abstract]
  • Davison A.P. and Feng J. (2001) A model of network interactions in the olfactory bulb.
    AChemS XXIII, Sarasota, Florida, April 2001. [Abstract]
  • Davison A.P., Feng J. and Brown D. (2001) Spike synchronization in a biophysically-detailed model of the olfactory bulb. Neurocomputing 38-40: 515-521.
    CNS*00, Brugge, Belgium, July 2000. [Abstract] [full text]
  • Davison A.P., Feng J. and Brown D. (1999) Structure of lateral inhibition in an olfactory bulb model. Lecture Notes in Computer Science 1606: 189-196.
    IWANN'99, Alicante, Spain, June 1999. [Abstract]
  • Davison A.P., Miller T., Belton I., Bolton S. and Bonnett D.E. (1997) An assessment of image registration in the treatment planning of tumours of the brain.
    Radiology 1997 - Imaging, Science and Oncology, Birmingham, U.K, May 1997.

Technical reports

  • Papadopoulo T., Viéville T. and Davison A.P. (2008) Towards generic tools for computational neuroscience: a perspective. FACETS Report D8-6. [PDF]
  • Davison A.P. and Papadopoulo T. (2008) Report on the second public release of the PyNN software and first public release of FacetsML validator and editor. FACETS Report D8-3. [PDF]
  • Davison A.P. and Viéville T. (2006) Definition of data formats for WP3 in the FACETS Knowledge Base. FACETS Report D11. [PDF]
  • Davison A.P., Muller E. and Viéville T. (2006) Concept of a common data model for neuroscience simulations. FACETS Report D23. [PDF]

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