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 Hines, Michael W. Hopkins, Pramod 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 Barry Stokes, Adam Tomkins, Guido Trensch, Marmaduke Woodman, Jochen Martin Eppler, 2018.Code generation in computational neuroscience: a review of tools and techniques, Front. Neuroinform., volume 12. [bibtex][doi]
Nicolas P Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena Barba, Fabien CY 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 Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya Vostinar, Roman Yurchak, Tiziano Zito, 2017. Sustainable computational science: the ReScience initiative, PeerJ Computer Science, volume 3. [bibtex][pdf][doi]
Guillaume Bellec, Mathieu Galtier, Romain Brette, Pierre Yger, 2016.Slow feature analysis with spiking neurons and its application to audio stimuli, Journal of computational neuroscience, volume 40. [bibtex][doi]
Victor Benichoux, Marc Rébillat, Romain Brette, 2016.On the variation of interaural time differences with frequency, The Journal of the Acoustical Society of America, volume 139. [bibtex][doi]
Marc Rébillat, Victor Benichoux, Makoto Otani, Renaud Keriven, Romain Brette, 2014.Estimation of the low-frequency components of the head-related transfer functions of animals from photographs, The Journal of the Acoustical Society of America, volume 135. [bibtex][doi]
Bertrand Fontaine, Victor Benichoux, Philip X. Joris, Romain Brette, 2013.Predicting spike timing in highly synchronous auditory neurons at different sound levels, Journal of neurophysiology, volume 110. [bibtex][doi]
Cyrille Rossant, Bertrand Fontaine, Anna K. Magnusson, Romain Brette, 2012.A calibration-free electrode compensation method, Journal of neurophysiology, volume 108. [bibtex][doi]
Romain Brette, Dan F. M. Goodman, 2012.Simulating spiking neural networks on GPU, Network (Bristol, England), volume 23. [bibtex][doi]
Boris Gourévitch, Romain Brette, 2012.The impact of early reflections on binaural cues, The Journal of the Acoustical Society of America, volume 132. [bibtex][doi]
Sami El Boustani, Pierre Yger, Yves Frégnac, Alain Destexhe, 2012.Stable learning in stochastic network states, The Journal of neuroscience : the official journal of the Society for Neuroscience, volume 32. [bibtex][doi]
Cyrille Rossant, Sara Leijon, Anna K. Magnusson, Romain Brette, 2011.Sensitivity of noisy neurons to coincident inputs, The Journal of neuroscience : the official journal of the Society for Neuroscience, volume 31. [bibtex][doi]
Pierre Yger, Sami El Boustani, Alain Destexhe, Yves Frégnac, 2011.Topologically invariant macroscopic statistics in balanced networks of conductance-based integrate-and-fire neurons, Journal of computational neuroscience, volume 31. [bibtex][doi]
Yves Kremer, Jean-François Léger, Dan Goodman, Romain Brette, Laurent Bourdieu, 2011.Late emergence of the vibrissa direction selectivity map in the rat barrel cortex, The Journal of neuroscience : the official journal of the Society for Neuroscience, volume 31. [bibtex][doi]
Bastian Venthur, Simon Scholler, John Williamson, Sven Dähne, Matthias S. Treder, Maria T. Kramarek, Klaus-Robert Müller, Benjamin Blankertz, 2010.Pyff - a pythonic framework for feedback applications and stimulus presentation in neuroscience, Frontiers in neuroscience, volume 4. [bibtex][doi]
Romain Brette, 2010.On the interpretation of sensitivity analyses of neural responses, The Journal of the Acoustical Society of America, volume 128. [bibtex][doi]
Olivier Marre, Pierre Yger, Andrew P. Davison, Yves Frégnac, 2009.Reliable recall of spontaneous activity patterns in cortical networks, The Journal of neuroscience : the official journal of the Society for Neuroscience, volume 29. [bibtex][doi]
Jonathan Touboul, Romain Brette, 2008.Dynamics and bifurcations of the adaptive exponential integrate-and-fire model, Biological cybernetics, volume 99. [bibtex][doi]
Zuzanna Piwkowska, Martin Pospischil, Romain Brette, Julia Sliwa, Michelle Rudolph-Lilith, Thierry Bal, Alain Destexhe, 2008.Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generation, Journal of neuroscience methods, volume 169. [bibtex][doi]
Laurent Badel, Sandrine Lefort, Romain Brette, Carl C. H. Petersen, Wulfram Gerstner, Magnus J. E. Richardson, 2008.Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces, Journal of neurophysiology, volume 99. [bibtex][doi]
Romain Brette, 2007.Exact simulation of integrate-and-fire models with exponential currents, Neural computation, volume 19. [bibtex][doi]
Romain Brette, 2006.Exact simulation of integrate-and-fire models with synaptic conductances, Neural computation, volume 18. [bibtex][doi]
Pierrick Coupé, Pierre Yger, Christian Barillot, 2006. Fast non local means denoising for 3D MR images, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, volume 9. [bibtex][pdf]
Romain Brette, Wulfram Gerstner, 2005.Adaptive exponential integrate-and-fire model as an effective description of neuronal activity, Journal of neurophysiology, volume 94. [bibtex][doi]
Romain Brette, 2004.Dynamics of one-dimensional spiking neuron models, Journal of mathematical biology, volume 48. [bibtex][doi]
Romain Brette, Emmanuel Guigon, 2003.Reliability of spike timing is a general property of spiking model neurons, Neural computation, volume 15. [bibtex][doi]
