Week 5 Object & Face Perception Flashcards
What are the differences in receptive fields of M and P cells?
M cells have large receptive fields of a visual scene (than P-cells) to give you course detail of stimuli
P-cells have small receptive fields of a visual scene, allowing them to be highly sensitive to high spatial frequencies and finer visual acuity
What are the differences in temporal frequency fields of M and P cells?
M-cells are highly sensitive to rapid changes in temporal luminance (high temporal resolution, ie. fast movement and flickering
P-cells are less sensitive to temporal changes (movement, motion and luminance changes over time)
Which cells, M or P, are colour sensitive?
P-cells are colour sensitive, M-cells are colour blind/monochromatic
Where do M and P cells go and which is faster?
M-cells go to the dorsal pathway and have a faster transition speed than
p-cells, p-cells go to the ventral pathway
What does Mishkin & Ungerleider 1982 say about the dorsal and ventral pathways?
Dorsal pathway = object location (the ‘where’ pathway)
Ventral pathway = object perception (the ‘what’ pathway)
What are 3 brain regions that encode objects in the ventral stream?
- Fusiform gyrus (sensitive to faces)
- Parahippocampal gyrus (sensitive to places)
- Auditory, visual and visual word form areas in the ventral stream
What are 2 brain regions that encode object movement in the dorsal stream?
- Parietal cortex = spatial attention, encoding objects in scenes, where and when to pay attention
- Motor cortex = visually guided reaching, ie. holding, grasping, figuring out the size, shape and density of objects
What is the “frame and fill” approach for encoding a visual scene?
- Visual information from environment gets encoded in a feedforward sweep from the retinal image to the V1 to other posterior occipital regions to anterior temporal (object perception) and frontal regions
- This feedforward sweep is generating a perceptual hypothesis about what the object is
- To confirm the perceptual hypothesis, information is encoded in a feedback/reentrant process, whereby visual information in frontal areas goes back to occipital areas like V1 to compare high resolution information with the initial hypothesis
- If the perceptual hypothesis is deemed correct, this is what is consciously perceived
How does Bar (2003) apply the frame and fill approach for M and P cells?
1.. Eye sees a visual stimulus, a magnocellular shortcut gets projects low-spatial frequencies directly into the prefrontal cortex
2. M-cells have low spatial frequencies, so the visual representation will look fuzzy/course
3. This triggers a feedback mechanism back to the LGN (that receives more feedback than feedforward) to the ventral stream and the temporal cortex to clarify the object with input from P-cells
What 4 pieces of evidence supports Bar’s model of visual processing?
- Faster responses
Activity in the orbitofrontal cortex - where M-shortcut is believed to occur was processed quicker (50ms) - Predicted object recognition
in orbitofrontal cortex compared to more classical object-related areas like the fusiform gyrus - The orbitofrontal cortex had higher activation for low-spatial frequency images, not high-frequency images
- Greater synchronisation between feedforward and feedback pathways for low spatial frequency images compared to high spatial frequency images
What are the similarities/differences between Bar’s model and Navon’s global precedence idea?
Similarities:
Global letter = processed by the magnocellular cells the overall global shape
Local letter = processed by the parvocellular cells
Explains why we are faster at processing global letters regardless of the letters are congruent/incongruent
Differences
Bar’s model makes the distinction between object distinction and feedforward and prefrontal cortex feedback processing, while Navon’s idea focuses on the visual outcome of what is processed first
What is facial recognition vs. facial identification?
Facial recognition = is it a face?
Facial identification = whose face is it?
What are the differences in arguments for and against face processing?
Faces are unique -
Unique brain area exclusively dedicated to facial perception and not other objects
Inversion effects occur because we have holistic processing of faces, we do not process them in isolation
Global processing is unique to faces
Faces are not unique -
Faces are one of many stimuli that use holistic processing
So-called face-specific processing areas are actually sensitive to recognition things you already know
Are inversion effects for faces good evidence that faces are unique?
No - while inversion effects in faces seem to have a preferential effect for holistic processing, it is not indicative that only faces are only processed globally
Other stimuli that people have expertise in, such as words, houses, and made-up stimuli (greebles) also show inversion effects
Why is the fusiform gyrus area (FFA) thought to be responsible for face processing?
fMRIs indicate that when faces were presented, higher activation in FFA compared to other objects, scrambled faces, hands and houses
Most critically, the lower activation of the FFA with scrambled faces indicates that the FFA does not simply respond to individual facial features, but rather the holistic arrangement of a face