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20082025
most citedLGN-CNN: a biologically inspired CNN architecture

38 citations · 229 across the 52 of their papers we have counts for

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7 papers · 1 filter

cs.CV2019★ 7 cited

KerCNNs: biologically inspired lateral connections for classification of corrupted images

Noemi Montobbio, Laurent Bonnasse-Gahot, Giovanna Citti +1

The state of the art in many computer vision tasks is represented by Convolutional Neural Networks (CNNs). Although their hierarchical organization and local feature extraction are…

cs.CV2019★ 4 cited

Neurogeometry of perception: isotropic and anisotropic aspects

Giovanna Citti, Alessandro Sarti

In this paper we first recall the definition of geometical model of the visual cortex, focusing in particular on the geometrical properties of horizontal cortical connectivity. The…

cs.CV2016

A neuro-mathematical model for geometrical optical illusions

B. Franceschiello, A. Sarti, G. Citti

Geometrical optical illusions have been object of many studies due to the possibility they offer to understand the behaviour of low-level visual processing. They consist in situati…

cs.CV2016

Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images

Samaneh Abbasi-Sureshjani, Marta Favali, Giovanna Citti +2

Tree-like structures such as retinal images are widely studied in computer-aided diagnosis systems for large-scale screening programs. Despite several segmentation and tracking met…

cs.CV2015

Local and global gestalt laws: A neurally based spectral approach

Marta Favali, Giovanna Citti, Alessandro Sarti

A mathematical model of figure-ground articulation is presented, taking into account both local and global gestalt laws. The model is compatible with the functional architecture of…

cs.CV2014★ 1 cited

Cortical spatio-temporal dimensionality reduction for visual grouping

Giacomo Cocci, Davide Barbieri, Giovanna Citti +1

The visual systems of many mammals, including humans, is able to integrate the geometric information of visual stimuli and to perform cognitive tasks already at the first stages of…