Neurogeometry of perception: isotropic and anisotropic aspects

06/08/2019
by   Giovanna Citti, et al.
0

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. Then we recognize that histograms of edges - co-occurrences are not isotropic distributed, and are strongly biased in horizontal and vertical directions of the stimulus. Finally we introduce a new model of non isotropic cortical connectivity modeled on the histogram of edges - co-occurrences. Using this kernel we are able to justify oblique phenomena comparable with experimental findings.

READ FULL TEXT

page 3

page 7

page 11

page 14

page 16

page 17

page 18

page 20

research
05/11/2021

Component Edge Connectivity of Hypercube-like Networks

As a generalization of the traditional connectivity, the g-component edg...
research
11/10/2017

Group Connectivity: Z_4 v. Z_2^2

We answer a question on group connectivity suggested by Jaeger et al. [G...
research
12/19/2020

Hedge Connectivity without Hedge Overlaps

Connectivity is a central notion of graph theory and plays an important ...
research
11/27/2016

A neuro-mathematical model for geometrical optical illusions

Geometrical optical illusions have been object of many studies due to th...
research
08/10/2020

ConnectIt: A Framework for Static and Incremental Parallel Graph Connectivity Algorithms

Connected components is a fundamental kernel in graph applications due t...
research
10/15/2019

Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling

We consider the evolution model proposed in [9, 6] to describe illusory ...
research
06/19/2018

Kernel Methods for Nonlinear Connectivity Detection

In this paper, we show that the presence of nonlinear coupling between t...

Please sign up or login with your details

Forgot password? Click here to reset