42 citations · 46 across the 5 of their papers we have counts for
5 papers
Isolating Nonlinear Independent Sources in fMRI with -TCVAE Models
Qiang Li, Shujian Yu, Jesus Malo +3
Learning meaningful latent representations from nonlinear fMRI data remains a fundamental challenge in neuroimaging analysis. Traditional independent component analysis, widely use…
Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs
Nuria Alabau-Bosque, Jorge Vila-Tomas, Paula Dauden-Oliver +2
Convolutional Neural Networks (CNNs) are widely assumed to be translation-invariant, yet standard architectures exhibit a startling fragility: even a single-pixel shift can drastic…
Information in a recurrent Retina-V1 network with realistic noise, feedback and nonlinearities
Javier Rodríguez, Raquel Giménez, Jesús Malo
Quantitative estimation of information flow in early vision with psychophysically realistic networks is still an open issue. This is because, up to date, the necessary elements (ge…
Cortical Divisive Normalization from Wilson-Cowan Neural Dynamics
J. Malo, J. J. Esteve-Taboada, M. Bertalmío
Divisive Normalization and the Wilson-Cowan equations are influential models of neural interaction and saturation [Carandini and Heeger Nat.Rev.Neurosci. 2012; Wilson and Cowan Kyb…
Derivatives and Inverse of Cascaded Linear+Nonlinear Neural Models
Marina Martinez-Garcia, Praveen Cyriac, Thomas Batard +2
In vision science, cascades of Linear+Nonlinear transforms are very successful in modeling a number of perceptual experiences [Carandini&Heeger12]. However, the conventional litera…