My main research interests are in large-scale, data-constrained, biologically-detailed modelling of neuronal networks. Most of my work at the moment is in the context of the FACETS project, developing models of the early visual system, from retina to primary visual cortex, and developing tools to facilitate collaborative modelling and reproducible simulations, notably PyNN.

I did my PhD in computational neuroscience with Dr Jianfeng Feng at the Babraham Institute (Cambridge), then a postdoc in the laboratory of Prof. Gordon Shepherd at Yale University School of Medicine, researching the encoding and processing of olfactory information in the olfactory epithelium and olfactory bulb, and working on the ModelDB database of neuronal models, then a postdoc at UNIC, working on the SenseMaker project.

 

Publications

Select a type... All Articles Book Chapters Presentations Books or a year... All 1997 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Books and Thesis (1)

2001

Andrew Davison, Mathematical modelling of information processing in the olfactory bulb, In: () Ph.D. thesis, University of Cambridge , (2001)

Articles (11)

2009

Andrew Davison, M Hines and E Muller, Trends in programming languages for neuroscience simulations, Frontiers in Neuroscience : , (2009) [pdf] [abstract]

M Hines, Andrew Davison and E Muller, NEURON and Python, Frontiers in NeuroInformatics 2: doi:10.3389/neuro.11.001.2009, (2009) [pdf] [abstract]

Andrew Davison, Daniel Brüderle, Jochen Eppler, J Kremkow, E Muller, D Pecevski, L Perrinet and Pierre Yger, PyNN: a common interface for neuronal network simulators, Frontiers in NeuroInformatics 2: doi:10.3389/neuro.11.011.2008, (2009) [pdf] [abstract]

Daniel Brüderle, E Muller, Andrew Davison, E Muller, Johannes Schemmel and Karlheinz Meier, Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system, Frontiers in Neuroinformatics 3: , (2009) [pdf] [abstract]

2007

Romain Brette, Michelle Rudolph, T Carnevale, M Hines, D Beeman, JM Bower, M Diesmann, A Morrison, PH Goodman, Jr Harris FC, M Zirpe, T Natschlager, D Pecevski, B Ermentrout, M Djurfeldt, A Lansner, O Rochel, T Vieville, E Muller, Andrew Davison, Sami El Boustani and Alain Destexhe, Simulation of networks of spiking neurons: a review of tools and strategies, J Comput Neurosci 23: 349-98, (2007) [pdf] [abstract]

2006

Andrew Davison and Yves Frégnac, Learning cross-modal spatial transformations through spike timing-dependent plasticity, J Neurosci 26: 5604-15, (2006) [pdf] [abstract]

M Badoual, Quan Zou, Andrew Davison, Michelle Rudolph, Thierry Bal, Yves Frégnac and Alain Destexhe, Biophysical and phenomenological models of multiple spike interactions in spike-timing dependent plasticity, Int J Neural Syst 16: 79-97, (2006) [pdf] [abstract]

2004

Andrew Davison, TM Morse, M Migliore, GM Shepherd and M Hines, Semi-automated population of an online database of neuronal models (ModelDB) with citation information, using PubMed for validation, Neuroinformatics 2: 327-32, (2004) [pdf] [abstract]

2003

Andrew Davison, J Feng and D Brown, Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model, J Neurophysiol 90: 1921-35, (2003) [pdf] [abstract] [ModelDB]

M Migliore, TM Morse, Andrew Davison, L Marenco, GM Shepherd and M Hines, ModelDB: making models publicly accessible to support computational neuroscience, Neuroinformatics 1: 135-9, (2003) [pdf]

2000

Andrew Davison, J Feng and D Brown, A reduced compartmental model of the mitral cell for use in network models of the olfactory bulb, Brain Res Bull 51: 393-9, (2000) [abstract]

Presentations (19)

2008

Pierre Yger, Olivier Marre, Andrew Davison and Yves Frégnac, Reliable recall of spontaneous activity patterns in chaotic cortical networks, Poster At: NeuroComp, (Marseille) (2008) [pdf] [abstract]

2007

Andrew Davison, Pierre Yger, J Kremkow, L Perrinet and E Muller, PyNN: Towards a universal neural simulator API in Python, Poster At: CNS, (Toronto) (2007) [abstract]

Pierre Yger, Olivier Marre, Sami El Boustani, Pierre Baudot, Cyril Monier, Manuel Levy, Andrew Davison and Yves Frégnac, Chaos control: Reliable signal propagation and pattern completion in chaotic neuronal networks, Poster At: SFN, (San Diego) (2007) [pdf] [abstract]

2006

Andrew Davison, Simulator-independent network modelling with Python and XML. , Invited Talk At: Modeling the Brain's Labyrinth, (Fodele, Crete (Greece)) (2006)

Andrew Davison, NModLib: a database of components for neuroscience models. , Invited Talk At: World Association of Modeling - Biologically Accurate Modeling Meeting, (San Antonio, Texas (USA)) (2006)

Andrew Davison, Simulator-independent network modelling with Python and XML, Talk At: Modeling the Brain's Labyrinth, (Fodele, Crete, Greece) (2006) [abstract]

Andrew Davison, NModLib: a database of components for neuroscience models, Poster At: World Association of Modeling - Biologically Accurate Modeling Meeting, (San Antonio, Texas) (2006) [abstract]

Andrew Davison, Pierre Yger, Jason Chan, Fiona Newell and Yves Frégnac, A combined psychophysical-modelling study of the mechanisms of tactile picture perception, Poster At: CNS*2006, (Edinburgh, UK) (2006) [abstract]

2005

Andrew Davison and Yves Frégnac, The Two-ring paradigm: a computational approach of multisensory code binding. , Invited Talk At: International SenseMaker Workshop, (School of computing Intelligence, University of Ulster, Derry (Northern Ireland)) (2005)

Andrew Davison, Ammar Belatreche, Johannes Fieres, Jason Chan, Fiona Newell and Yves Frégnac, The Two-Ring paradigm: a computational approach to multisensory code binding. , Poster At: International SenseMaker Workshop on Life-Like Perception Systems, (Derry (U.K)) (2005)

Andrew Davison, Ammar Belatreche, Johannes Fieres, Jason Chan, Fiona Newell and Yves Frégnac, The Two-Ring paradigm: a computational approach to multisensory code binding, Talk At: International SenseMaker Workshop on Life-Like Perception Systems, (Derry, UK) (2005) [abstract]

2004

Andrew Davison, Learning simple computations in spiking basis function networks using spike time-dependent plasticity, Poster At: FENS, (Lisbon, Portugal) (2004) [abstract]

Andrew Davison and Yves Frégnac, Training a network of spiking neurons to perform coordinate transformations, Poster At: SfN, ( San Diego, California) (2004)

2002

Andrew Davison, M Hines and GM Shepherd, Membrane bistability and sub-threshold oscillations in an olfactory bulb mitral cell model, Poster At: AChemS XXIV, (Sarasota, Florida) (2002)

2001

Andrew Davison and J Feng, A model of network interactions in the olfactory bulb, Poster At: AChemS XXIII, (Sarasota, Florida) (2001) [abstract]

Andrew Davison, Zhishang Zhou, M Hines and GM Shepherd, Simulating sodium and potassium currents in an olfactory mitral cell model, Talk At: SfN, (San Diego, California) (2001) [abstract]

2000

Andrew Davison, J Feng and D Brown, Spike synchronization in a biophysically-detailed model of the olfactory bulb, Poster At: CNS*00, (Brugge, Belgium) (2000) [abstract]

1999

Andrew Davison, J Feng and D Brown, Structure of lateral inhibition in an olfactory bulb model, Talk At: IWANN'99, (Alicante, Spain) (1999) [abstract]

1997

Andrew Davison, Tanya Miller, Ian Belton, S Bolton and David Bonnett, An assessment of image registration in the treatment planning of tumours of the brain, Talk At: Radiology 1997 - Imaging, Science and Oncology, (Birmingham, U.K) (1997)

Book Chapters (4)

2007

Yves Frégnac, Michelle Rudolph, Andrew Davison and Alain Destexhe, Complexity in Neuronal Networks, In: Biological Networks (François Képès) World Scientific 291-338, (2007)

2004

Andrew Davison, Biologically-detailed network modelling, In: Computational Neuroscience: A Comprehensive Approach (J. Feng) Chapman and Hall/CRC Press 287-304, (2004)

2002

Andrew Davison and GM Shepherd, Olfactory Bulb, In: The Handbook of Brain Theory and Neural Networks, 2nd Edn (M. Arbib) The MIT Press , (2002)

Andrew Davison, TM Morse, M Migliore, L Marenco, GM Shepherd and M Hines, ModelDB: A Resource for Neuronal and Network Modeling, In: Neuroscience Databases: A Practical Guide (R. Kötter) Kluwer Academic Publishers 99-109, (2002) [abstract]