 Contextdependent representation in recurrent neural networks
G. Wainrib, submitted.
 Ulcerative
Colitis and smoking: an integrative networkbased analysis of detoxification gene
expression data
YP. Ding et al., submitted.
Branching random walks on binary strings and application to adaptive immunity I. Balelli, V. Milisic and G. Wainrib, submitted. [arxiv]Network modeling of Crohn's disease JeanMarc Victor, Gaëlle Debret, Annick Lesne, Leigh Pascoe, Pascal Carrivain, Gilles Wainrib, JeanPierre Hugot, PlosOne (to appear).Mathematical modeling of lymphocytes selection in the germinal center V.Milisic and G.Wainrib, Journal of Mathematical Biology (to appear) [arxiv]The real Ginibre ensemble with k=0(n) real eigenvalues L.C. Garcia del Molino, K. Pakdaman, J.Touboul and G. Wainrib, Journal of Statistical Physics [arxiv]A local Echo State Property through the largest Lyapunov exponent M. Galtier and G.Wainrib, Neural Networks [arxiv]  Dynamics and absorption properties of stochastic equations with Hölder diffusion coefficients,
J.Touboul and G.Wainrib, Physica D (2015) [arxiv]
 Relative entropy minimizing noisy nonlinear neural network to approximate stochastic processes,
Neural Networks (2014) M. Galtier, C. Marini, G. Wainrib, H. Jaeger. [arxiv]
Chaos 23, 043134 (2013) [pdf]
G.Wainrib and L.C. Garcia del Molino
 Synchronization in random balanced networks,
Physical Review E 88 Issue 4 (2013) L.C. Garcia del Molino, K. Pakdaman, J. Touboul and G. Wainrib [arxiv]
 A biological gradient descent for prediction through a combination of STDP and homeostatic plasticity,
Neural Computation, 25, 2815–2832 (2013) M.Galtier and G.Wainrib [pdf]
 Double averaging principle for periodically forced slowfast stochastic systems,
Electronic Communications in Probability, vol18 (2013) G.Wainrib [pdf]
 Topological and dynamical complexity of random neural networks,
Physical Review Letters, 110, 118101 (2013) G.Wainrib and J.Touboul [arxiv]
 Multiscale analysis of neuronal learning models with noise,
The Journal of Mathematical Neuroscience, 2 (1) 13 (2012) M.Galtier and G.Wainrib
 Some numerical methods for rare events simulation and analysis,
Stochastic biomathematical models. Vol. 2058 of the Lecture Notes in Mathematics series (Biosciences subseries), (2012) G.Wainrib
 Limit theorems for infinitedimensional piecewise deterministic processes. Applications to stochastic excitable membrane models,
Electronic Journal of Probability, vol 17 (2012) M.Riedler, M.Thieullen and G.Wainrib
 Asymptotic expansion and central limit theorem for multiscale piecewisedeterministic Markov processes,
Stochastic Processes and their Applications, 122(6) (2012) M.Thieullen, K.Pakdaman, G.Wainrib [pdf]
 Noisecontrolled dynamics through the averaging principle for stochastic slowfast systems,
Physical Review E84, 051113 (2011) G.Wainrib [pdf]
 Reduction of stochastic conductancebased neuron models with timescales separation,
Journal of Computational Neurosciences (2011) G.Wainrib, M.Thieullen, K.Pakdaman. [pdf]
 Intrinsic variability of latency to firstspike,
Biological Cybernetics (2010) G.Wainrib, M.Thieullen, K.Pakdaman. [pdf]
 Diffusion approximation of birthdeath processes : comparison in terms of large deviations and exit point,
Statistics and Probability Letters (2010) M.Thieullen, K.Pakdaman, G.Wainrib. [pdf]
 Fluid limit theorems for stochastic hybrid systems and applications to neuron models,
Advances in Applied Probability (2010) M.Thieullen, K.Pakdaman, G.Wainrib. [pdf]

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