Chen, Kao & Tyler (2007, Cerebral Cortex). Faces from the FERET database, filtered in a 4 th -power...

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Chen, Kao & Tyler (2007, Cerebral Cortex)

Transcript of Chen, Kao & Tyler (2007, Cerebral Cortex). Faces from the FERET database, filtered in a 4 th -power...

Page 1: 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.

Chen, Kao & Tyler (2007, Cerebral Cortex)

Page 2: 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.

Faces from the FERET database,

filtered in a 4th-power Gaussian

aperture and normalized to the full contrast range

Page 3: 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.

Scrambling the phase

destroys the local features global structure but

retains the Fourier energy and net

activation of linear receptive fields

Page 4: 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.

Zeroing the phase

and reflecting destroys the local

features global structure but retains the

symmetry as well Fourier energy and

net linear RF activation

Page 5: 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.

Rotating the face

varies the local features and

Fourier energy, but retains

individuality and emotional

recognition

Page 6: 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.

Inverting the face

retains all the local features and

Fourier energy, but reduces

individuality and emotional

recognition

Page 7: 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.

Symmetry vs. random

activation pattern

Activation in mid-lateral

occipital regions

(replication of Tyler et al., 2005,

NeuroImage)

vs.

L R

Coherence

Threshold0 0.2 0.4 0.6 0.8 1

V1-3

Motion

ODS(KO)

Symmetry

Page 8: 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.

vs.

Face Localizer

Faces vs. random activate both

ventral and dorsal regions of lateral occipital cortex

Coherence

Threshold0 0.2 0.4 0.6 0.8 1

L R

V1-3MotionODS(KO)SymmetryOccipital face areaFusiform face areaIOS depth?

Page 9: 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.

L R

L

vs.

Symmetry

Occipital face area

Fusiform face area

IOS component

3D Pose

Invariance

Ventral face areas are pose-blind,

but dorsal symmetry areas

are activated

Page 10: 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.

vs.

L

L R

SymmetryOccipital face areaFusiform face areaIOS component

Facial Inversion Effect

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