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 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.
FAMAF, Instituto de Física Enrique Gaviola, Universidad Nacional de Córdoba, Argentina.
Yudy Carolina
YC
Daza C
FAMAF, Instituto de Física Enrique Gaviola, Universidad Nacional de Córdoba, Argentina.
Carolina B
CB
Tauro
FAMAF, Instituto de Física Enrique Gaviola, Universidad Nacional de Córdoba, Argentina.
Francisco A
FA
Tamarit
Statistical and Interdisciplinary Physics Group, Centro Atómico Bariloche, Argentina.
Pablo M
PM
Gleiser
D000818:Animals; D003198:Computer Simulation; D008959:Models, Neurological; D010364:Pattern Recognition, Visual / Q000502:physiology*; D013028:Space Perception / Q000502:physiology*; D014793:Visual Cortex / Q000502:physiology*