Spontaneously emerging cortical representations of visual attributes.
Attractive visual attributes were found in species that are ecologically close, leading to an 'aesthetic bottleneck'.
Kenet, T. et al. Spontaneously emerging cortical representations of visual attributes.
Kenet, T., Bibitchkov, D., Tsodyks, M., Grinvald, A. & Arieli, A. Spontaneously emerging cortical representations of visual attributes.
Kenet T, Bibitchkov D, Tsodyks M, Grinvald A, Arieli A. Spontaneously emerging cortical representations of visual attributes.
Our first method -- based on attribute classifiers -- uses binary classifiers trained to recognize the presence, absence, or degree of describable visual attributes (gender, race, age, hair color, etc.).
Jacques Bertin's six retinal properties describe the different visual attributes one can use to differentiate between data-driven shapes.
However, the present results demonstrate that these visual attributes are not necessarily needed in order to achieve high-level decoding accuracy.
Generally, the visual attributes that make species - or other objects - attractive are relatively similar: bright colours or the presence of contrasting patterns19.
Totti, L. C. et al. The impact of visual attributes on online image diffusionProceedings of the 2014 ACM conference on Web science 42 51 (ACM, 2014).
Dot arrays, including 8-32dots consystematicallymacrossly across various numerical and non-numerical visual attributes, were presented randomly in either the upper or lower visual hemifields.
