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Plos One|March 20, 2010
Conversion of phase information into a spike-count code by bursting neuronsInés Samengo, Marcelo A MontemurroFrontiers in Computational Neuroscience|October 7, 2015
Thalamic neuron models encode stimulus information by burst-size modulationDaniel H Elijah, Inés Samengo, Marcelo A MontemurroJournal of Computational Neuroscience|April 12, 2013
Linking dynamical and functional properties of intrinsically bursting neuronsInés Samengo, Germán Mato, Daniel H Elijah, et al.Frontiers in Computational Neuroscience|January 14, 2017
Bursting Neurons in the Hippocampal Formation Encode Features of LFP RhythmsMaria Constantinou, Soledad Gonzalo Cogno, Daniel H Elijah, et al.Neural Computation|April 9, 2002
Information loss in an optimal maximum likelihood decodingInés SamengoPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 15, 2002
Estimating probabilities from experimental frequenciesInés SamengoBiological Cybernetics|September 29, 2009
The firing statistics of Poisson neuron models driven by slow stimuliEugenio Urdapilleta, Inés SamengoJournal of Computational Neuroscience|July 17, 2012
Spike-triggered covariance: geometric proof, symmetry properties, and extension beyond Gaussian stimuliInés Samengo, Tim GollischPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 8, 2009
Quasistatic approximation of the interspike interval distribution of neurons driven by time-dependent inputsEugenio Urdapilleta, Inés SamengoNeural Computation|April 29, 2008
Type I and type II neuron models are selectively driven by differential stimulus featuresGermán Mato, Inés SamengoPageof 7