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Andrew Davison

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NeoViewer: Facilitating reuse of electrophysiology data through browser-based interactive visualization

Onur Ates , Shailesh Appukuttan , Hélissande Fragnaud , Corentin Fragnaud , Andrew P. Davison
SoftwareX, 2024, 26, pp.101710. ⟨10.1016/j.softx.2024.101710⟩
Article dans une revue hal-04551480v1
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EBRAINS Live Papers - Interactive Resource Sheets for Computational Studies in Neuroscience

Shailesh Appukuttan , Luca L. Bologna , Felix Schürmann , Michele Migliore , Andrew P. Davison
Neuroinformatics, 2023, 21 (1), pp.101-113. ⟨10.1007/s12021-022-09598-z⟩
Article dans une revue hal-03783756v1
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A faster way to model neuronal circuitry

Andrew P. Davison , Shailesh Appukuttan
eLife, 2022, 11, pp.e84463. ⟨10.7554/eLife.84463⟩
Article dans une revue hal-04304568v1
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The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models

Luca Leonardo Bologna , Roberto Smiriglia , Carmen Alina Lupascu , Shailesh Appukuttan , Andrew P. Davison
Frontiers in Neuroinformatics, 2022, 16, pp.991609. ⟨10.3389/fninf.2022.991609⟩
Article dans une revue hal-03788861v1
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HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

Sára Sáray , Christian A Rössert , Shailesh Appukuttan , Rosanna Migliore , Paola Vitale
PLoS Computational Biology, 2021, 17 (1), pp.e1008114. ⟨10.1371/journal.pcbi.1008114⟩
Article dans une revue hal-03063383v1
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Editorial: Reproducibility and Rigour in Computational Neuroscience

Sharon Crook , Andrew P. Davison , Robert Mcdougal , Hans Ekkehard Plesser
Frontiers in Neuroinformatics, 2020, 14, pp.23. ⟨10.3389/fninf.2020.00023⟩
Article dans une revue hal-02913122v1
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[Rp] Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model

Andrew P. Davison
ReScience C, 2020, ⟨10.5281/zenodo.3972130⟩
Article dans une revue hal-03046451v1
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The SONATA data format for efficient description of large-scale network models

Kael Dai , Juan Hernando , Yazan Billeh , Sergey Gratiy , Judit Planas
PLoS Computational Biology, 2020, 16 (2), pp.e1007696. ⟨10.1371/journal.pcbi.1007696⟩
Article dans une revue hal-02913116v1
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Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits

Padraig Gleeson , Matteo Cantarelli , Boris Marin , Adrian Quintana , Matt Earnshaw
Neuron, 2019, 103 (3), pp.395. ⟨10.1016/j.neuron.2019.05.019⟩
Article dans une revue hal-02193259v1
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Arkheia: Data Management and Communication for Open Computational Neuroscience

Ján Antolík , Andrew P. Davison
Frontiers in Neuroinformatics, 2018, 12, pp.6. ⟨10.3389/fninf.2018.00006⟩
Article dans une revue hal-01737956v1
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Code Generation in Computational Neuroscience: A Review of Tools and Techniques

Inga Blundell , Romain Brette , Thomas A Cleland , Thomas G Close , Daniel Coca
Frontiers in Neuroinformatics, 2018, 12, pp.68. ⟨10.3389/fninf.2018.00068⟩
Article dans une revue hal-01996352v1

A Commitment to Open Source in Neuroscience

Padraig Gleeson , Andrew P. Davison , R Angus Silver , Giorgio Ascoli
Neuron, 2017, 96 (5), pp.964-965. ⟨10.1016/j.neuron.2017.10.013⟩
Article dans une revue hal-02064834v1
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Leonid L. Rubchinsky , Sungwoo Ahn , Wouter Klijn , Ben Cumming , Stuart Yates
BMC Neuroscience, 2017, 18 (Suppl 1), pp.59. ⟨10.1186/s12868-017-0371-2⟩
Article dans une revue hal-01580190v1

Toward standard practices for sharing computer code and programs in neuroscience

Stephen Eglen , Ben Marwick , Yaroslav Halchenko , Michael Hanke , Shoaib Sufi
Nature Neuroscience, 2017, 20 (6), pp.770-773. ⟨10.1038/nn.4550⟩
Article dans une revue hal-02064847v1
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Sustainable computational science: the ReScience initiative

Nicolas P. Rougier , Konrad Hinsen , Frédéric Alexandre , Thomas Arildsen , Lorena Barba
PeerJ Computer Science, 2017, 3, pp.e142. ⟨10.7717/peerj-cs.142⟩
Article dans une revue hal-01592078v1

La recherche reproductible : une communication scientifique explicite

Christophe Pouzat , Andrew P. Davison , Konrad Hinsen
Statistique et Société, 2016, Deux débats sur les données, 3 (1)
Article dans une revue hal-01478360v1

Python in neuroscience.

Eilif Muller , James A Bednar , Markus Diesmann , Marc-Oliver Gewaltig , Michael Hines
Frontiers in Neuroinformatics, 2015, 9, pp.11. ⟨10.3389/fninf.2015.00011⟩
Article dans une revue hal-01159440v1

libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience.

Michael Vella , Robert C Cannon , Sharon M. Crook , Andrew P. Davison , Gautham Ganapathy
Front Neuroinform, 2014, 8, pp.38. ⟨10.3389/fninf.2014.00038⟩
Article dans une revue hal-01055565v1

Efficient generation of connectivity in neuronal networks from simulator-independent descriptions.

Mikael Djurfeldt , Andrew P. Davison , Jochen M Eppler
Front Neuroinform, 2014, 8, pp.43. ⟨10.3389/fninf.2014.00043⟩
Article dans une revue hal-01055563v1
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Neo: an object model for handling electrophysiology data in multiple formats.

Samuel Garcia , Domenico Guarino , Florent Jaillet , Todd Jennings , Robert Pröpper
Frontiers in Neuroinformatics, 2014, 8, pp.10. ⟨10.3389/fninf.2014.00010⟩
Article dans une revue hal-01055571v1

Integrated workflows for spiking neuronal network simulations.

Ján Antolík , Andrew P. Davison
Front Neuroinform, 2013, 7, pp.34. ⟨10.3389/fninf.2013.00034⟩
Article dans une revue hal-01055572v1

Automated Capture of Experiment Context for Easier Reproducibility in Computational Research

Andrew P. Davison
Computing in Science and Engineering, 2012, 14 (4), pp.48-56. ⟨10.1109/MCSE.2012.41⟩
Article dans une revue hal-01055702v1

Collaborative modelling: the future of computational neuroscience?

Andrew P. Davison
Network: Computation in Neural Systems, 2012, 23 (4), pp.157-66. ⟨10.3109/0954898X.2012.718482⟩
Article dans une revue hal-01055579v1

Creating, documenting and sharing network models.

Sharon M. Crook , James A Bednar , Sandra Berger , Robert Cannon , Andrew P. Davison
Network: Computation in Neural Systems, 2012, 23 (4), pp.131-49. ⟨10.3109/0954898X.2012.722743⟩
Article dans une revue hal-01055577v1

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.

Daniel Brüderle , Mihai A Petrovici , Bernhard Vogginger , Matthias Ehrlich , Thomas Pfeil
Biological Cybernetics (Modeling), 2011, 104 (4-5), pp.263-96. ⟨10.1007/s00422-011-0435-9⟩
Article dans une revue hal-00635967v1

NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.

Padraig Gleeson , Sharon M. Crook , Robert C Cannon , Michael L Hines , Guy O Billings
PLoS Computational Biology, 2010, 6 (6), pp.e1000815. ⟨10.1371/journal.pcbi.1000815⟩
Article dans une revue hal-00586776v1

Trends in programming languages for neuroscience simulations.

Andrew P. Davison , Michael L Hines , Eilif Muller
Frontiers in Neuroscience, 2009, 3 (3), pp.374-80. ⟨10.3389/neuro.01.036.2009⟩
Article dans une revue hal-00586787v1

Reliable recall of spontaneous activity patterns in cortical networks.

Olivier Marre , Pierre Yger , Andrew P. Davison , Yves Frégnac
Journal of Neuroscience, 2009, 29 (46), pp.14596-606. ⟨10.1523/JNEUROSCI.0753-09.2009⟩
Article dans une revue hal-00444943v1
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PyNN: A Common Interface for Neuronal Network Simulators.

Andrew P. Davison , Daniel Brüderle , Jochen Eppler , Jens Kremkow , Eilif Muller
Frontiers in Neuroinformatics, 2009, 2, pp.11. ⟨10.3389/neuro.11.011.2008⟩
Article dans une revue hal-00586786v1

NEURON and Python.

Michael L Hines , Andrew P. Davison , Eilif Muller
Front Neuroinformatics, 2009, 3, pp.1. ⟨10.3389/neuro.11.001.2009⟩
Article dans une revue hal-00586782v1

Establishing a Novel Modeling Tool: A Python-based Interface for a Neuromorphic Hardware System

Daniel Brüderle , Eric Muller , Andrew Davison , Eilif Muller , Johannes Schemmel
Frontiers in Neuroinformatics, 2009, 3, pp.17. ⟨10.3389/neuro.11.017.2009⟩
Article dans une revue hal-03047041v1

Simulation of networks of spiking neurons: A review of tools and strategies.

Romain Brette , Michael Rudolph , Ted Carnevale , Michael Hines , David Beeman
Journal of Computational Neuroscience, 2007, 23 (3), pp.349-98. ⟨10.1007/s10827-007-0038-6⟩
Article dans une revue hal-00180662v1

Biophysical and phenomenological models of multiple spike interactions in spike-timing dependent plasticity.

Mathilde Badoual , Quan Zou , Andrew P. Davison , Michael Rudolph , Thierry Bal
Int J Neural Syst, 2006, 16 (2), pp.79-97
Article dans une revue hal-00120626v1

Learning cross-modal spatial transformations through spike timing-dependent plasticity.

Andrew P. Davison , Yves Frégnac
Journal of Neuroscience, 2006, 26 (21), pp.5604-15. ⟨10.1523/JNEUROSCI.5263-05.2006⟩
Article dans une revue hal-00120625v1

Semi-automated population of an online database of neuronal models (ModelDB) with citation information, using PubMed for validation.

Andrew P. Davison , Thomas M Morse , Michele Migliore , Gordon M Shepherd , Michael L Hines
Neuroinformatics, 2004, 2 (3), pp.327-32. ⟨10.1385/NI:2:3:327⟩
Article dans une revue hal-00299855v1

Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model.

Andrew P. Davison , Jianfeng Feng , David Brown
Journal of Neurophysiology, 2003, 90 (3), pp.1921-35. ⟨10.1152/jn.00623.2002⟩
Article dans une revue hal-00299879v1

ModelDB: making models publicly accessible to support computational neuroscience.

Michele Migliore , Thomas M Morse , Andrew P. Davison , Luis Marenco , Gordon M Shepherd
Neuroinformatics, 2003, 1 (1), pp.135-9. ⟨10.1385/NI:1:1:135⟩
Article dans une revue hal-00586793v1

A reduced compartmental model of the mitral cell for use in network models of the olfactory bulb.

Andrew P. Davison , J. Feng , D. Brown
Brain Research Bulletin, 2000, 51 (5), pp.393-9
Article dans une revue hal-00635986v1

Helmholtz: a customizable framework for neurophysiology data management

Andrew P. Davison , Thierry Bal , Domenico Guarino , Olivier Manette , Cyril Monier
Neuroinformatics 2013, INCF, Stockholm, Sweden, Aug 2013, Stockholm, Sweden. ⟨10.3389/conf.fninf.2013.09.00025⟩
Communication dans un congrès hal-03047325v1
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Reliable recall of spontaneous activity patterns in chaotic cortical networks

Olivier Marre , Pierre Yger , Andrew Davison , Yves Frégnac
Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France
Communication dans un congrès hal-00331545v1

STDP in topogra-phical neuronal networks.

Pierre Yger , Abigail Morrison , M. Diesmann , Andrew P. Davison , Yves Frégnac
Proceedings of the 44th Japan Workshop - ISTC-RIKEN BSI, 2008, Wako, Japan. pp.en cours
Communication dans un congrès hal-00382367v1

Plasticité associative dépendante de l'ordre temporel entre activités pré- et post-synaptiques (Spike Timing Dependent Plasticity) : son implication dans l'adaptation fonctionnelle des réseaux sensoriels et l'apprentissage perceptif.

Mathilde Badoual , Thierry Bal , Pierre Baudot , Andrew P. Davison , Alain Destexhe
Colloque de l'ACI (Action Concertée Incitative) Neurosciences Intégratives et Computationnelles, 2007, Paris, France. pp.en cours
Communication dans un congrès hal-00380905v1

PyNN: Towards a universal neural simulator API in Python.

Andrew P. Davison , Pierre Yger , Jens Kremkow , Laurent Perrinet , Eilif Muller
CNS 2007 Proceedings of the 16th Annual Computational Neuroscience Meeting, 2007, Toronto, Canada. pp.73
Communication dans un congrès hal-00381688v1

A combined pyschophysical--modelling investigation of the mechanisms of tactile picture perception.

Andrew P. Davison , Pierre Yger , Yves Frégnac , J. Chan , F. Newell
Proceedings of the 15th Annual Computational Neuroscience Meeting, 2006, Edinburgh, United Kingdom. pp.170
Communication dans un congrès hal-00380061v1

Training a network of spiking neurons to perform coordinate transformations.

Andrew P. Davison , Yves Frégnac
34th Annual Meeting of the Society for Neuroscience, 2004, San Diego, United States. pp.4
Communication dans un congrès hal-00379386v1

Learning simple computations in spiking basis function networks using spike time-dependent plasticity.

Andrew P. Davison
4th Forum of European Neuroscience, 2004, Lisbon, Portugal. pp.A224
Communication dans un congrès hal-00379381v1

Spike synchronization in a biophysically-detailed model of the olfactory bulb

Andrew P. Davison , Jf Feng , D. Brown
9th Annual Computational Neuroscience Meeting, 2000, Brugge, Belgium. pp.515-521, ⟨10.1016/S0925-2312(01)00391-5⟩
Communication dans un congrès hal-01055784v1
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Neo: a Data Model for Electrophysiological Data Representation and its Python Implementation

Florent Jaillet , Samuel Garcia , Andrew P. Davison , Luc Estebanez , Pierre Yger
17th Annual Meeting of the Organization for Human Brain Mapping (HBM 2011), Jun 2011, Québec, Canada.
Poster de conférence hal-04128682v1

Complexity in Neuronal Networks

Yves Frégnac , Michael Rudolph , Andrew P. Davison , Alain Destexhe
François Képès. Biological Networks, World Scientific, pp.291-338, 2007, Complex Systems and Interdisciplinary Science vol.3, 9789812706959
Chapitre d'ouvrage hal-00739550v1

Complexity and level hierarchy in neural networks

Yves Frégnac , Michael Rudolph , Andrew P. Davison , Alain Destexhe
François Képès. Biological networks, World Scientific Publishing Company, pp.1-52, 2007, Complex Systems and Interdisciplinary Science, vol. 3
Chapitre d'ouvrage hal-00211742v1

Biologically-Detailed Network Modelling

Andrew P. Davison
Jianfeng Feng. Computational Neuroscience. A Comprehensive Approach, Chapman & Hall / CRC Press, pp.287-304, 2004, Chapman & Hall/CRC Mathematical Biology and Medicine
Chapitre d'ouvrage hal-00377318v1