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“moo~”
Object knowledge/semantic memory/concepts
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Losing semantic knowledge!
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! Russian Literature professor in Shanghai 63 year old, left temporal lobe atrophy
A kind of animal? Often seen in my
accompany me to grocery shopping!
Semantic impairment lead to difficulties in language, object recognition, object use!
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Whence comes [the mind] by that vast store, which the busy and boundless fancy of man has painted on it with an almost endless variety? ... To this I answer, in one word, From experience. cattle
Represented at the sensory/motor sites?
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9
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Not fully dependent on visual input Measure 2: Resting-state functional connectivity pattern Vector 1-180 Measure 1: Task induced activation level to 16 object categories: human face parts, human body parts, daily scenes, tools, mammals, reptiles, birds, fishes, bugs, fruits and vegetables, flowers, preserved food, clothes, musical instruments, vehicles, furniture
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Review
Object Domain and Modality in the Ventral Visual Pathway
Yanchao Bi,1,* Xiaoying Wang,1 and Alfonso Caramazza2,3
The nature of domain-specific organization in higher-order visual cortex (ventral
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taught by his touch to distinguish between a cube and a sphere of the same metal, and nighly of the same bigness, so as to tell, when he felt one and the other, which is the cube, which is the sphere. Suppose then the cube and the sphere placed on a table, and the blind man made to see: query, Whether by his sight, before he touched them, he could now distinguish and tell which is the globe, which the cube?
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20
21
Testing the shape knowledge explicitly!
Method ! Participants
– Sighted visual (12 good Ss, picture input) – Sighted auditory (14 good Ss, word input) – Blind auditory (13 good Ss, word input)
! Task
!Hear object name (e.g. “key”) – judge is it larger or smaller than an average palm? ER design: 8 runs. Each stimulus repeated twice each run.
! Ratings
– Pixel similarity – Shape similarity – Tactile similarity – (checked both colledge Ss ratings and fMRI Ss ratings. Results were similar.
Here report results with colledge Ss ratings)
! Materials
– 33 everyday artifacts
Shape similarity ratings
0.88** 0.84** 0.84**
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IT: [Multi-modal] Shape knowledge in blind and sighted
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Acknowledgment
Xiaoying Wang Xiaosha Wang Yuxing Fang Yangwen Xu Chenxi He
Collaborators
Alfonso Caramazza, Harvard/CiMec Italy Marius Peelen, CiMec, Italy Yong He, BNU Gaolang Gong, BNU
Funding agencies
National Natural Science Foundation China 973 program, Ministry of Science and Techonology, China Beijing Natural Science Foundation
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