Inés Samengo

According to our database, Inés Samengo authored at least 22 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Inferring a Property of a Large System from a Small Number of Samples.

Damián G. Hernández, Inés Samengo

Entropy, 2022

2021

Statistical Properties of Color Matching Functions.

María da Fonseca, Inés Samengo

Neural Comput., 2021

2020

Time- and frequency-resolved covariance analysis for detection and characterization of seizures from intracraneal EEG recordings.

Melisa B. Maidana Capitán, Nuria Cámpora, Claudio Sebastián Sigvard, Silvia Kochen, Inés Samengo

Biol. Cybern., 2020

2019

Estimating the Mutual Information between Two Discrete, Asymmetric Variables with Limited Samples.

Damián G. Hernández, Inés Samengo

Entropy, 2019

2018

Novel Perceptually Uniform Chromatic Space.

María da Fonseca, Inés Samengo

Neural Comput., 2018

Assessing the Relevance of Specific Response Features in the Neural Code.

Hugo Gabriel Eyherabide, Inés Samengo

Entropy, 2018

Information-Theoretical Analysis of the Neural Code in the Rodent Temporal Lobe.

Melisa B. Maidana Capitán, Emilio Kropff, Inés Samengo

Entropy, 2018

2016

Derivation of Human Chromatic Discrimination Ability from an Information-Theoretical Notion of Distance in Color Space.

María da Fonseca, Inés Samengo

Neural Comput., 2016

Bursting Neurons in the Hippocampal Formation Encode Features of LFP Rhythms.

Maria Constantinou, Soledad Gonzalo Cogno, Daniel H. Elijah, Emilio Kropff, John Gigg, Inés Samengo, Marcelo A. Montemurro

Frontiers Comput. Neurosci., 2016

2015

Effects of spike-triggered negative feedback on receptive-field properties.

Eugenio Urdapilleta, Inés Samengo

J. Comput. Neurosci., 2015

Thalamic neuron models encode stimulus information by burst-size modulation.

Daniel H. Elijah, Inés Samengo, Marcelo A. Montemurro

Frontiers Comput. Neurosci., 2015

Information-theoretical analysis of the statistical dependencies among three variables: Applications to written language.

Damián G. Hernández, Damián H. Zanette, Inés Samengo

CoRR, 2015

2014

Dynamics and Reliability of Bistable Neurons Driven with Time-Dependent Stimuli.

Soledad Gonzalo Cogno, Susanne Schreiber, Inés Samengo

Neural Comput., 2014

2013

Linking dynamical and functional properties of intrinsically bursting neurons.

Inés Samengo, Germán Mato, Daniel H. Elijah, Susanne Schreiber, Marcelo A. Montemurro

J. Comput. Neurosci., 2013

Spike-triggered covariance: geometric proof, symmetry properties, and extension beyond Gaussian stimuli.

Inés Samengo, Tim Gollisch

J. Comput. Neurosci., 2013

2010

Time and Category Information in Pattern-Based Codes.

Hugo Gabriel Eyherabide, Inés Samengo

Frontiers Comput. Neurosci., 2010

2009

The firing statistics of Poisson neuron models driven by slow stimuli.

Eugenio Urdapilleta, Inés Samengo

Biol. Cybern., 2009

2008

Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus Features.

Germán Mato, Inés Samengo

Neural Comput., 2008

Burst firing is a neural code in an insect auditory system.

Hugo Gabriel Eyherabide, Ariel Rokem, Andreas V. M. Herz, Inés Samengo

Frontiers Comput. Neurosci., 2008

2005

A Subjective Distance Between Stimuli: Quantifying the Metric Structure of Representations.

Damián E. Oliva, Inés Samengo, Stefan Leutgeb, Sheri J. Mizumori

Neural Comput., 2005

2002

Information Loss in an Optimal Maximum Likelihood Decoding.

Inés Samengo

Neural Comput., 2002

Measuring Information Spatial Densities.

Michele Bezzi, Inés Samengo, Stefan Leutgeb, Sheri J. Mizumori

Neural Comput., 2002