Modeling spatial patterns in the visual cortex

We propose a model for the formation of patterns in the visual cortex. The dynamical units of the model are Kuramoto phase oscillators that interact through a complex network structure embedded in two dimensions. In this way the strength of the interactions takes into account the geographical distan...

Full description

Saved in:
Bibliographic Details
Published in:Physical review. E, Statistical, nonlinear, and soft matter physics Statistical, nonlinear, and soft matter physics, 2014-10, Vol.90 (4), p.042818-042818, Article 042818
Main Authors: Daza C, Yudy Carolina, Tauro, Carolina B, Tamarit, Francisco A, Gleiser, Pablo M
Format: Article
Language:English
Subjects:
Animals
Computer Simulation
Models, Neurological
Pattern Recognition, Visual - physiology
Space Perception - physiology
Visual Cortex - physiology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We propose a model for the formation of patterns in the visual cortex. The dynamical units of the model are Kuramoto phase oscillators that interact through a complex network structure embedded in two dimensions. In this way the strength of the interactions takes into account the geographical distance between units. We show that for different parameters, clustered or striped patterns emerge. Using the structure factor as an order parameter we are able to quantitatively characterize these patterns and present a phase diagram. Finally, we show that the model is able to reproduce patterns with cardinal preference, as observed in ferrets.
ISSN:1539-3755
1550-2376
DOI:10.1103/PhysRevE.90.042818