no code implementations • 6 Dec 2023 • Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez, Valero Laparra, Jesus Malo
Perceptual metrics are traditionally used to evaluate the quality of natural signals, such as images and audio.
no code implementations • 26 Oct 2023 • Qiang Li, Vince D. Calhoun, Adithya Ram Ballem, Shujian Yu, Jesus Malo, Armin Iraji
The human brain has a complex, intricate functional architecture.
no code implementations • 19 May 2023 • Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez, Valero Laparra, Jesus Malo
In this study, we investigate the feasibility of utilizing state-of-the-art image perceptual metrics for evaluating audio signals by representing them as spectrograms.
no code implementations • 6 Oct 2022 • Qiang Li, Greg Ver Steeg, Shujian Yu, Jesus Malo
In this work we build on this idea to infer a large scale (whole brain) connectivity network based on Total Correlation and show the possibility of using this kind of networks as biomarkers of brain alterations.
no code implementations • 11 Aug 2022 • Qiang Li, Greg Ver Steeg, Jesus Malo
As opposed to previous empirical approaches, in this work we present analytical results to prove the advantages of Total Correlation over Mutual Information to describe the functional connectivity.
no code implementations • 11 Feb 2022 • Jesus Malo
Contrast Sensitivity of the human visual system can be explained from certain low-level vision tasks (like retinal noise and optical blur removal), but not from others (like chromatic adaptation or pure reconstruction after simple bottlenecks).
no code implementations • 28 Feb 2021 • Qiang Li, Alex Gomez-Villa, Marcelo Bertalmio, Jesus Malo
Three decades ago, Atick et al. suggested that human frequency sensitivity may emerge from the enhancement required for a more efficient analysis of retinal images.
no code implementations • 11 Dec 2020 • Jesus Malo, Jose Juan Esteve-Taboada, Guillermo Aguilar, Marianne Maertens, Felix A. Wichmann
We show that from threshold-only data the relative contribution of early and late noise can only be determined if the experiments include substantial external noise in some of the stimuli used during experiments.
4 code implementations • 8 Oct 2020 • Valero Laparra, J. Emmanuel Johnson, Gustau Camps-Valls, Raul Santos-Rodríguez, Jesus Malo
Information theory is an outstanding framework to measure uncertainty, dependence and relevance in data and systems.
no code implementations • 27 Dec 2019 • Jesus Malo
In case this hypothesis holds in color vision, the question is, what is the coding gain due to the different layers of the color appearance networks?
no code implementations • 2 Jun 2016 • Valero Laparra, Jesus Malo
The identified curvilinear features can be interpreted as a set of nonlinear sensors: the response of each sensor is the projection onto the corresponding feature.
no code implementations • 31 Jan 2016 • Valero Laparra, Jesus Malo, Gustau Camps-Valls
DRR identifies the nonlinear features through multivariate regression to ensure the reduction in redundancy between he PCA coefficients, the reduction of the variance of the scores, and the reduction in the reconstruction error.