Modeling spatial patterns in the visual cortex

被引:4
|
作者
Daza C., Yudy Carolina [1 ]
Tauro, Carolina B. [1 ]
Tamarit, Francisco A. [1 ]
Gleiser, Pablo M. [2 ]
机构
[1] Univ Nacl Cordoba, Inst Fis Enrique Gaviola, FAMAF, RA-5000 Cordoba, Argentina
[2] Ctr Atom Bariloche, Stat & Interdisciplinary Phys Grp, San Carlos De Bariloche, Rio Negro, Argentina
关键词
SELF-ORGANIZATION; SYNCHRONIZATION; NETWORKS; MAPS;
D O I
10.1103/PhysRevE.90.042818
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
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.
引用
收藏
页数:6
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