Bayesian estimation of orientation preference maps

Bayesian estimation of orientation preference maps

Imaging techniques such as optical imaging of intrinsic signals, 2-photon calcium imaging and voltage sensitive dye imaging can be used to measure the functional organization of visual cortex across different spatial and temporal scales. Here, we present Bayesian methods based on Gaussian processes for extracting topographic maps from functional imaging data. In particular, we focus on the esti...

Development of orientation preference maps in ferret primary visual cortex.

The development of orientation preference maps was studied in ferret primary visual cortex using chronic optical imaging of intrinsic signals. The emergence and maturation of the maps were examined over time in single animals. The earliest age at which cortical domains selectively responsive to particular stimulus orientations were observed varied considerably between individuals, from postnata...

Optimizing the Representation of Orientation Preference Maps in Visual Cortex

The colorful representation of orientation preference maps in primary visual cortex has become iconic. However, the standard representation is misleading because it uses a color mapping to indicate orientations based on the HSV (hue, saturation, value) color space, for which important perceptual features such as brightness, and not just hue, vary among orientations. This means that some orienta...

Development of orientation preference maps in ferret visual cortex

Lateral connectivity as a scaffold for developing orientation preference maps

In the visual cortex of the cat and ferret, it is established that orientation selectivity is the consequence of experience-dependent plasticity. Recent experiments, however, indicate that the layout of orientation maps is remarkably stable and experience-independent. We present a model to account for these seemingly paradoxical results. In this model, a scaaold consisting of anisotropic latera...