TL;DR
This paper models the retina as a complex dynamical system, using bifurcation and ergodic theory to gain insights into its behavior and responses to varying visual stimuli.
Contribution
It introduces a novel perspective by applying advanced dynamical systems theory to understand retinal behavior and dynamics.
Findings
Retinal responses can be characterized by bifurcation phenomena.
Dynamical systems theory explains spatial and temporal inhomogeneities.
Insights into retinal adaptation and stability mechanisms.
Abstract
Considering the retina as a high dimensional, non autonomous, dynamical system, layered and structured, with non stationary and spatially inhomogeneous entries (visual scenes), we present several examples where dynamical systems-, bifurcations-, and ergodic-theory provide useful insights on retinal behaviour and dynamics.
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