Zobrazeno 1 - 10
of 234
pro vyhledávání: '"SARTI, ALESSANDRO"'
We model the functional architecture of the early stages of three-dimensional vision by extending the neurogeometric sub-Riemannian model for stereo-vision introduced in \cite{BCSZ23}. A new framework for correspondence is introduced that integrates
Externí odkaz:
http://arxiv.org/abs/2410.02870
Autor:
Citti, Giovanna, Sarti, Alessandro
In a joint paper, Jean Petitot together with the authors of the present paper described the functional geometry of the visual cortex as the symplectization of a contact form to describe the family of cells sensitive to position, orientation and scale
Externí odkaz:
http://arxiv.org/abs/2310.16056
In this paper we propose a neurogeometrical model of the behaviour of cells of the arm area of the primary motor cortex (M1). We mathematically express the hypercolumnar organization of M1 discovered by Georgopoulos, as a fiber bundle, as in classica
Externí odkaz:
http://arxiv.org/abs/2306.08005
In this paper, we propose a model of arm reaching movements expressed in terms of geodesics in a sub-Riemannian space. We will choose a set of kinematic variables to which motor cortical cells are selective with the purpose of modelling the specific
Externí odkaz:
http://arxiv.org/abs/2301.05765
Classical good continuation for image curves is based on $2D$ position and orientation. It is supported by the columnar organization of cortex, by psychophysical experiments, and by rich models of (differential) geometry. Here we extend good continua
Externí odkaz:
http://arxiv.org/abs/2301.04542
Publikováno v:
Journal of Computational Neuroscience (2023): 1-29
In this paper we propose a neurogeometrical model of the behaviour of cells of the arm area of the primary motor cortex (M1). We will mathematically express as a fiber bundle the hypercolumnar organization of this cortical area, first modelled by Geo
Externí odkaz:
http://arxiv.org/abs/2208.03352
We present a theoretical framework for a stereo vision method via optimal transport tools. We consider two aligned optical systems and we develop the matching between the two pictures line by line. By considering a regularized version of the optimal
Externí odkaz:
http://arxiv.org/abs/2207.00333
Receptive profiles of V1 cortical cells are very heterogeneous and act by differentiating the stimulus image as operators changing from point to point. A lightness and color constancy image can be reconstructed as the solution of the associated inver
Externí odkaz:
http://arxiv.org/abs/2206.06895
In this paper we study the spontaneous development of symmetries in the early layers of a Convolutional Neural Network (CNN) during learning on natural images. Our architecture is built in such a way to mimic the early stages of biological visual sys
Externí odkaz:
http://arxiv.org/abs/2104.08537