Research > Publications

Publications

1. Brette R (2012). Spiking models for level-invariant encoding. Front Comput Neurosci. 5:63. doi: 10.3389/fncom.2011.00063.
2. Muller LE, Brette R, Gutkin B (2011). Spike-timing dependent plasticity and feed-forward input oscillations produce precise and invariant spike phase-locking. Frontiers Comp Neurosci 5:45. doi: 10.3389/fncom.2011.00045.
3. Fischer BJ, Steinberg LJ, Fontaine B, Brette R, Peña JL (2011). Effect of instantaneous frequency glides on ITD processing by auditory coincidence detectors. PNAS 108(44): 18138-18143.
4. Rossant C, Leijon S, Magnusson AK, Brette R (2011). Sensitivity of noisy neurons to coincident inputs. J Neurosci 31(47):17193-17206.
5. Fontaine B, Goodman DFM, Benichoux F, Brette R (2011). Brian Hears: online auditory processing using vectorisation over channels. Front Neuroinf 5:9. doi: 10.3389/fninf.2011.00009.
6. Kremer Y, Léger JF, Goodman DF, Brette R, Bourdieu L (2011). Late Emergence of the Whisker Direction Selectivity Map in the Rat Barrel Cortex. J Neurosci 31(29):10689-700.
7. Fontaine B and Brette R (2011). Neural development of binaural tuning through Hebbian learning predicts frequency-dependent best delays. J Neurosci 31(32):11692–11696.
8. Platkiewicz J and Brette R (2011). Impact of Fast Sodium Channel Inactivation on Spike Threshold Dynamics and Synaptic Integration. PLoS Comp Biol 7(5): e1001129. doi:10.1371/journal.pcbi.1001129.
9. Rossant C, Goodman DF, Fontaine B, Platkiewicz J, Magnusson AK and Brette R (2011). Fitting neuron models to spike trains. Front Neurosci. 5:9. doi: 10.3389/fnins.2011.00009
10. Brette R and DF Goodman (2011). Vectorised algorithms for spiking neural network simulation, Neural Comput 23(6), 1503-1535.
11. Goodman DF and R Brette (2010). Learning to localise sounds with spiking neural networks, Advances in Neural Information Processing Systems 23, 784-792.
12. Goodman DF and R Brette (2010). Spike-timing-based computation in sound localization. PLoS Comp Biol 6(11): e1000993. doi:10.1371/journal.pcbi.1000993.
13. Brette R (2010) On the interpretation of sensitivity analyses of neural responses, JASA 128(5), 2965-2972.
14. Platkiewicz J, Brette R (2010). A Threshold Equation for Action Potential Initiation. PLoS Comput Biol 6(7): e1000850. doi:10.1371/journal.pcbi.1000850
15. Rossant C, Goodman DF, Platkiewicz J and Brette R (2010). Automatic fitting of spiking neuron models to electrophysiological recordings. Front. Neuroinform. doi:10.3389/neuro.11.002.2010
16. Brette, R. and D. Goodman (2009). Brian: a simple and flexible simulator for spiking neural networks. The Neuromorphic Engineer, doi:10.2417/1200907.1659.
17. Goodman, D. and R. Brette (2009). The Brian simulator. Front Neurosci doi:10.3389/neuro.01.026.2009.
18. Touboul, J. and R. Brette (2009). Spiking dynamics of bidimensional integrate-and-fire neurons. SIAM J. Appl. Dyn. Syst. 8(4): 1462-1506.
19. Gerstner, W. and R. Brette (2009) Adaptive exponential integrate-and-fire model. Scholarpedia, 4(6):8427.
20. Brette, R. (2009). Generation of correlated spike trains. Neural Comput 21(1): 188–215.
21. Goodman D and R Brette (2008). Brian: a simulator for spiking neural networks in Python. Front Neuroinform 2:5. doi:10.3389/neuro.11.005.2008.
22. Brette R, Piwkowska Z, Monier C, Gomez J, Frégnac Y, Bal T, Destexhe A (2008). Dynamic clamp with high resistance electrodes in vitro and in vivo. Chapter in Dynamic Clamp, Bal T and Destexhe A (eds).
23. Brette R, Piwkowska Z, Monier C, Rudolph-Lilith M, Fournier J, Levy M, Frégnac Y, Bal T, Destexhe A (2008). High-resolution intracellular recordings using a real-time computational model of the electrode. Neuron 59(3):379-91.
24. Badel L, Lefort S, Brette R, Petersen CC, Gerstner W, Richardson MJ (2008). Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. J Neurophysiol 99(2):656-66.
25. Touboul, J. and R. Brette (2008). Dynamics and bifurcations of the adaptive exponential integrate-and-fire model. Biological Cybernetics 99(4-5):319-34.
26. Brette, R. (2008). The Cauchy problem for one-dimensional spiking neuron models. Cognitive Neurodynamics 2(1) 21-27.
27. Piwkowska, Z., Pospischil, M., Brette, R., Sliwa, J., Rudolph-Lilith, M., Bal, T. and A Destexhe (2008). Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generation. J Neurosci Methods 169: 302-322.
28. Brette, R., Piwkowska, Z., Rudolph, M., Bal, and A. Destexhe (2007). A non-parametric electrode model for intracellular recording. Neurocomputing 70(10-12): 1597-1601 (Conference proceedings, CNS 2006, Edinburgh, UK).
29. Brette, R., M. Rudolph, T. Carnevale, M. Hines, D. Beeman, J.M. Bower, M. Diesmann, A. Morrison, P.H. Goodman, F.C. Harris, Jr., M. Zirpe, T. Natschläger, D. Pecevski, B. Ermentrout, M. Djurfeldt, A. Lansner, O. Rochel, T. Vieville, E. Muller, A. P. Davison, S. El Boustani and A. Destexhe (2007). Simulation of networks of spiking neurons: a review of tools and strategies. J Comput Neurosci 23(3):349-98.
30. Brette, R. (2007). Exact simulation of integrate-and-fire models with exponential currents. Neural Comput 19(10): 2604-2609.
31. Brette, R. (2006). Exact simulation of integrate-and-fire models with synaptic conductances. Neural Comput 18(8): 2004-2027.
32. Brette, R. and W. Gerstner (2005). Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J Neurophysiol 94: 3637-3642.
    
33. Brette, R. (2004). Dynamics of one-dimensional spiking neuron models. J Math Biol  48(1): 38-56.
34. Brette, R. and E. Guigon (2003). Reliability of spike timing is a general property of spiking model neurons. Neural Comput 15(2): 279-308.
35. Brette, R. (2003). Rotation numbers of discontinuous orientation-preserving circle maps. Set-Valued Analysis 11(4): 359-371.

Theses

PhD thesis: Modèles Impulsionnels de Réseaux de Neurones Biologiques, thèse de doctorat sous la direction d'Yves Burnod, Ecole Doctorale Cerveau-Cognition-Comportement, Paris, Décembre 2003.

HdR thesis (Habilitation à diriger les recherches): Spike-based models of neural computation, December 2009.

is there!

Book: The Handbook of Neural Activity Measurement