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The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|November 8, 2013
When and why noise correlations are important in neural decodingHugo Gabriel Eyherabide, Inés Samengo
Entropy (Basel, Switzerland)|December 3, 2020
Assessing the Relevance of Specific Response Features in the Neural CodeHugo Gabriel Eyherabide, Inés Samengo
Frontiers in Computational Neuroscience|December 15, 2010
Time and category information in pattern-based codesHugo Gabriel Eyherabide, Inés Samengo
Neural Computation|April 9, 2002
Information loss in an optimal maximum likelihood decodingInés Samengo
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 15, 2002
Estimating probabilities from experimental frequenciesInés Samengo
Biological Cybernetics|September 29, 2009
The firing statistics of Poisson neuron models driven by slow stimuliEugenio Urdapilleta, Inés Samengo
Journal of Computational Neuroscience|July 17, 2012
Spike-triggered covariance: geometric proof, symmetry properties, and extension beyond Gaussian stimuliInés Samengo, Tim Gollisch
Physical 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 Samengo
Neural Computation|April 29, 2008
Type I and type II neuron models are selectively driven by differential stimulus featuresGermán Mato, Inés Samengo
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