scholarly journals Category-selective patterns of neural response to scrambled images in the ventral visual pathway.

2015 ◽  
Vol 15 (12) ◽  
pp. 622 ◽  
Author(s):  
David Coggan ◽  
Wanling Liu ◽  
Daniel Baker ◽  
Timothy Andrews
Keyword(s):  
Visual Pathway ◽  
Neural Response ◽  
Ventral Visual Pathway

scholarly journals Low-level properties of natural images predict topographic patterns of neural response in the ventral visual pathway

2015 ◽  
Vol 15 (7) ◽  
pp. 3 ◽  
Author(s):  
Timothy J. Andrews ◽  
David M. Watson ◽  
Grace E. Rice ◽  
Tom Hartley
Keyword(s):  
Visual Pathway ◽  
Neural Response ◽  
Natural Images ◽  
Low Level ◽  
Ventral Visual Pathway

scholarly journals Spatial properties of objects predict patterns of neural response in the ventral visual pathway

NeuroImage ◽  
2016 ◽  
Vol 126 ◽  
pp. 173-183 ◽  
Author(s):  
David M. Watson ◽  
Andrew W. Young ◽  
Timothy J. Andrews
Keyword(s):  
Visual Pathway ◽  
Neural Response ◽  
Spatial Properties ◽  
Ventral Visual Pathway

scholarly journals Category-selective patterns of neural response in the ventral visual pathway in the absence of categorical information

NeuroImage ◽  
2016 ◽  
Vol 135 ◽  
pp. 107-114 ◽  
Author(s):  
David D. Coggan ◽  
Wanling Liu ◽  
Daniel H. Baker ◽  
Timothy J. Andrews
Keyword(s):  
Visual Pathway ◽  
Neural Response ◽  
Categorical Information ◽  
Ventral Visual Pathway

Topography of Visual Features in the Human Ventral Visual Pathway

2021 ◽  
Author(s):  
Shijia Fan ◽  
Xiaosha Wang ◽  
Xiaoying Wang ◽  
Tao Wei ◽  
Yanchao Bi
Keyword(s):  
Visual Pathway ◽  
Visual Features ◽  
Ventral Visual Pathway

scholarly journals View-tuned and view-invariant face encoding in IT cortex is explained by selected natural image fragments

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yunjun Nam ◽  
Takayuki Sato ◽  
Go Uchida ◽  
Ekaterina Malakhova ◽  
Shimon Ullman ◽  
...  
Keyword(s):  
Face Recognition ◽  
Visual Pathway ◽  
Visual Features ◽  
Natural Image ◽  
Face Representation ◽  
Low Level ◽  
Ventral Visual Pathway ◽  
Neural Substrate ◽  
The Face

AbstractHumans recognize individual faces regardless of variation in the facial view. The view-tuned face neurons in the inferior temporal (IT) cortex are regarded as the neural substrate for view-invariant face recognition. This study approximated visual features encoded by these neurons as combinations of local orientations and colors, originated from natural image fragments. The resultant features reproduced the preference of these neurons to particular facial views. We also found that faces of one identity were separable from the faces of other identities in a space where each axis represented one of these features. These results suggested that view-invariant face representation was established by combining view sensitive visual features. The face representation with these features suggested that, with respect to view-invariant face representation, the seemingly complex and deeply layered ventral visual pathway can be approximated via a shallow network, comprised of layers of low-level processing for local orientations and colors (V1/V2-level) and the layers which detect particular sets of low-level elements derived from natural image fragments (IT-level).

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