67 citations · 191 across the 22 of their papers we have counts for
6 papers · 1 filter
A Saccade-inspired Approach to Image Classification using Vision Transformer Attention Maps
Matthis Dallain, Laurent Rodriguez, Laurent Udo Perrinet +1
Human vision achieves remarkable perceptual performance while operating under strict metabolic constraints. A key ingredient is the selective attention mechanism, driven by rapid s…
Effect of top-down connections in Hierarchical Sparse Coding
Victor Boutin, Angelo Franciosini, Franck Ruffier +1
Hierarchical Sparse Coding (HSC) is a powerful model to efficiently represent multi-dimensional, structured data such as images. The simplest solution to solve this computationally…
Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Victor Boutin, Angelo Franciosini, Frederic Chavane +2
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to process context-dependent information in the early…
From biological vision to unsupervised hierarchical sparse coding
Victor Boutin, Angelo Franciosini, Franck Ruffier +1
The formation of connections between neural cells is emerging essentially from an unsupervised learning process. For instance, during the development of the primary visual cortex o…
Sparse models for Computer Vision
Laurent Perrinet
The representation of images in the brain is known to be sparse. That is, as neural activity is recorded in a visual area ---for instance the primary visual cortex of primates--- o…
Biologically Inspired Dynamic Textures for Probing Motion Perception
Jonathan Vacher, Andrew Meso, Laurent U Perrinet +1
Perception is often described as a predictive process based on an optimal inference with respect to a generative model. We study here the principled construction of a generative mo…