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2D and 3D Components. of Face Processing:. A mid-level vision analysis. Chen, Kao & Tyler (2007, Cerebral Cortex). Faces from the FERET database, filtered in a 4 th -power Gaussian aperture and normalized to the full contrast range. Scrambling the phase

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2D and 3D Components

of Face Processing:

A mid-level vision analysis

Chen, Kao & Tyler (2007, Cerebral Cortex)


Faces from the FERET database, filtered in a

4th-power Gaussian aperture and normalized to the full contrast range


Scrambling the phase

destroys the local features global structure but retains the Fourier energy and net activation of linear receptive fields


Zeroing the phase

and reflecting destroys the local features global structure but retains the symmetry as well Fourier energy and net linear RF activation


Rotating the face

varies the local features and Fourier energy, but retains individuality and emotional recognition


Inverting the face

retains all the local features and Fourier energy, but reduces individuality and emotional recognition


R

L

V1-3

Motion

ODS(KO)

Symmetry

Coherence

0

0.2

0.4

0.6

0.8

1

Threshold

Symmetry vs. random activation pattern

Activation in mid-lateral occipital regions

(replication of

Tyler et al., 2005, NeuroImage)

vs.


L

R

V1-3

Motion

ODS(KO)

Symmetry

Occipital face area

Fusiform face area

IOS depth?

Coherence

0

0.2

0.4

0.6

0.8

1

Threshold

Face Localizer

Faces vs. random activate both ventral and dorsal regions of lateral occipital cortex

vs.


L

R

L

Symmetry

Occipital face area

Fusiform face area

IOS component

3D Pose

Invariance

Ventral face areas are pose-blind, but dorsal symmetry areas are activated

vs.


L

R

vs.

L

Symmetry

Occipital face area

Fusiform face area

IOS component

Facial Inversion Effect

Inverting these full-cue faces shows a large facial inversion effect in both ventral and dorsal regions


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