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Neural Computation|February 28, 2012
Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategiesMichelle Rudolph-Lilith, Mathieu Dubois, Alain DestexheJournal of Physiology, Paris|November 21, 2007
Activated cortical states: experiments, analyses and modelsSami El Boustani, Martin Pospischil, Michelle Rudolph-Lilith, et al.Journal of Neuroscience Methods|January 12, 2008
Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generationZuzanna Piwkowska, Martin Pospischil, Romain Brette, et al.Heliyon|August 11, 2018
A discrete algebraic framework for stochastic systems which yield unique and exact solutionsMichelle Rudolph-LilithNeuron|August 15, 2008
High-resolution intracellular recordings using a real-time computational model of the electrodeRomain Brette, Zuzanna Piwkowska, Cyril Monier, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 4, 2014
Algebraic approach to small-world network modelsMichelle Rudolph-Lilith, Lyle E MullerBiological Cybernetics|May 15, 2014
Aspects of randomness in neural graph structuresMichelle Rudolph-Lilith, Lyle E MullerEntropy (Basel, Switzerland)|December 23, 2022
Noise Enhancement of Neural Information ProcessingAlain DestexheCurrent Opinion in Neurobiology|July 1, 2011
Intracellular and computational evidence for a dominant role of internal network activity in cortical computationsAlain DestexheJournal of Computational Neuroscience|June 6, 2009
Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neuronsAlain DestexhePageof 18