Andrew P. Davison

According to our database, Andrew P. Davison authored at least 30 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Onur Ates, Shailesh Appukuttan, Hélissande Fragnaud, Corentin Fragnaud, Andrew P. Davison

SoftwareX, 2024

A comprehensive data-driven model of cat primary visual cortex.

Ján Antolík, Rémy Cagnol, Tibor Rózsa, Cyril Monier, Yves Frégnac, Andrew P. Davison

PLoS Comput. Biol., 2024

2023

EBRAINS Live Papers - Interactive Resource Sheets for Computational Studies in Neuroscience.

Shailesh Appukuttan, Luca Leonardo Bologna, Felix Schürmann, Michele Migliore, Andrew P. Davison

Neuroinformatics, January, 2023

2022

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, Genrich Ivaska, Jean-Denis Courcol, Michele Migliore

Frontiers Neuroinformatics, August, 2022

2021

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, Carmen Alina Lupascu, Luca Leonardo Bologna, Werner Van Geit, Armando Romani, Andrew P. Davison, Eilif Müller, Tamás F. Freund, Szabolcs Káli

PLoS Comput. Biol., 2021

2020

The SONATA data format for efficient description of large-scale network models.

Kael Dai, Juan Hernando, Yazan N. Billeh, Sergey L. Gratiy, Judit Planas, Andrew P. Davison, Salvador Dura-Bernal, Padraig Gleeson, Adrien Devresse, Benjamin K. Dichter, Michael Gevaert, James Gonzalo King, Werner Van Geit, Arseny V. Povolotsky, Eilif Müller, Jean-Denis Courcol, Anton Arkhipov

PLoS Comput. Biol., 2020

Editorial: Reproducibility and Rigour in Computational Neuroscience.

Sharon M. Crook, Andrew P. Davison, Robert A. McDougal, Hans Ekkehard Plesser

Frontiers Neuroinformatics, 2020

2018

Code Generation in Computational Neuroscience: A Review of Tools and Techniques.

Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz-Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. M. Goodman, Michael L. Hines, Michael W. Hopkins, Pramod S. Kumbhar, David R. Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Richmond, Andrew Rowley, Bernhard Rumpe, Marcel Stimberg, Alan B. Stokes, Adam R. Tomkins, Guido Trensch, Michael Marmaduke Woodman, Jochen Martin Eppler

Frontiers Neuroinformatics, 2018

Arkheia: Data Management and Communication for Open Computational Neuroscience.

Ján Antolík, Andrew P. Davison

Frontiers Neuroinformatics, 2018

2017

Sustainable computational science: the ReScience initiative.

Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C. Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael Neto Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Dan McGlinn, Christoph Metzner, Owen L. Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne B. Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Jemma Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito

PeerJ Comput. Sci., 2017

2016

Requirements for storing electrophysiology data.

Friedrich T. Sommer, Thomas Wachtler, Jeffrey L. Teeters, Jan Benda, Andrew P. Davison, Stephen J. Eglen, Richard C. Gerkin, Jeffrey S. Grethe, Jan Grewe, Kenneth D. Harris, Christian Johannes Kellner, Yann Le Franc, Roman Moucek, Dimiter Prodanov, Robert Pröpper, Hyrum L. Sessions, Leslie Smith, Andrey Sobolev, Adrian Stoewer, Barry Wark

CoRR, 2016

A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC.

Johanna Senk, Alper Yegenoglu, Olivier Amblet, Yury Brukau, Andrew P. Davison, David Roland Lester, Anna Lührs, Pietro Quaglio, Vahid Rostami, Andrew Rowley, Bernd Schuller, Alan Barry Stokes, Sacha Jennifer van Albada, Daniel Zielasko, Markus Diesmann, Benjamin Weyers, Michael Denker, Sonja Grün

Proceedings of the High-Performance Scientific Computing, 2016

2015

Python in neuroscience.

Eilif B. Müller, James A. Bednar, Markus Diesmann, Marc-Oliver Gewaltig, Michael L. Hines, Andrew P. Davison

Frontiers Neuroinformatics, 2015

2014

PyNN: A Python API for Neural Network Modeling.

Andrew P. Davison

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

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, Hugh P. C. Robinson, R. Angus Silver, Padraig Gleeson

Frontiers Neuroinformatics, 2014

Neo: an object model for handling electrophysiology data in multiple formats.

Samuel Garcia, Domenico Guarino, Florent Jaillet, Todd R. Jennings, Robert Pröpper, Philipp L. Rautenberg, Chris C. Rodgers, Andrey Sobolev, Thomas Wachtler, Pierre Yger, Andrew P. Davison

Frontiers Neuroinformatics, 2014

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

Mikael Djurfeldt, Andrew P. Davison, Jochen Martin Eppler

Frontiers Neuroinformatics, 2014

2013

Integrated workflows for spiking neuronal network simulations.

Ján Antolík, Andrew P. Davison

Frontiers Neuroinformatics, 2013

2012

Automated Capture of Experiment Context for Easier Reproducibility in Computational Research.

Andrew P. Davison

Comput. Sci. Eng., 2012

2011

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, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif Mueller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier

Biol. Cybern., 2011

2010

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, Matteo Farinella, Thomas M. Morse, Andrew P. Davison, Subhasis Ray, Upinder S. Bhalla, Simon R. Barnes, Yoana D. Dimitrova, Angus Silver

PLoS Comput. Biol., 2010

2009

NEURON and Python.

Michael L. Hines, Andrew P. Davison, Eilif B. Müller

Frontiers Neuroinformatics, 2009

Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system.

Daniel Brüderle, Eric Müller, Andrew P. Davison, Eilif B. Müller, Johannes Schemmel, Karlheinz Meier

Frontiers Neuroinformatics, 2009

2008

PyNN: a common interface for neuronal network simulators.

Andrew P. Davison, Daniel Brüderle, Jochen M. Eppler, Jens Kremkow, Eilif B. Müller, Dejan Pecevski, Laurent U. Perrinet, Pierre Yger

Frontiers Neuroinformatics, 2008

2007

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

Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., Milind Zirpe, Thomas Natschläger, Dejan Pecevski, Bard Ermentrout, Mikael Djurfeldt, Anders Lansner, Olivier Rochel, Thierry Viéville, Eilif Mueller, Andrew P. Davison, Sami El Boustani, Alain Destexhe

J. Comput. Neurosci., 2007

2006

Biophysical and Phenomenological Models of Multiple Spike Interactions in Spike-timing Dependent Plasticity.

Mathilde Badoual, Quan Zou, Andrew P. Davison, Michael Rudolph, Thierry Bal, Yves Frégnac, Alain Destexhe

Int. J. Neural Syst., 2006

2004

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

2003

ModelDB - Making models publicly accessible to support computational neuroscience.

Michele Migliore, Thomas M. Morse, Andrew P. Davison, Luis N. Marenco, Gordon M. Shepherd, Michael L. Hines

Neuroinformatics, 2003

2001

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

Andrew P. Davison, Jianfeng Feng, David Brown

Neurocomputing, 2001

1999

Structure of Lateral Inhibition in an Olfactory Bulb Model.

Andrew P. Davison, Jianfeng Feng, David Brown

Proceedings of the Foundations and Tools for Neural Modeling, 1999