Object recognition

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Last updated 4:21 AM on 6/20/26
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14 Terms

1
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levels of visual processing

  • lower - separate specialised modules extract different features

  • middle - combines info from modules

  • higher - makes sense of info in viewpoint-independent way = object recognition regardless of angle/position

2
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contrast detection by retinal and LGN

based on light thru centre-surround receptive fields (ON/OFF cells)

  • responds to change in contrast - lines, edges and bars

  • no response to uniform surface

3
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orientation coding

in V1 - simple cells detect specific orientations of edges and lines (vertical, horizontal) by combing input from LGN with aligned receptive fields

  • horizontal receptive fields = responds to horizontal edges

  • vertical fields = responds to vertical edges

4
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curvature and shape detection

in V4 - combine input from V1 to detect curved lines and complex shapes. represented from view-dependent format

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inferior temporal cortex

part of ventral stream - highly selective neurons support advanced object recognition

6
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visual object agnosia

unilateral or bilateral damage to inferior temporal cortex - unable to recognise familar objects based on sight

  • can still recognise thru other senses

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2 types of agnosia

  • structural mechanisms based on identifying features

  • holistic mechanisms based on identifying configurations

8
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face inversion effect

facial recognition is impairedwhen presented upside down = suggests there is special processing of facial features

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thatcher illusion

changes to facial features appear normal when face is upside down but obvious when right side up

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why is facial processing seen as holistic

neurons are not responsive to individual features presented in isolation

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fusion face area

Area in the brain responsible for processing faces

  • debate on whether its specialised for faces or just expert objects

12
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prosopagnosia

damage to fusiform gyrus (in inferior temporal) = face blindness

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Brady et al 2008

Participants asked to detect repeated images in a stream with 0 to 1000+ intervening items = requires high fidelity memory of each image

  • able to detect repeats even after large delays with many intervening = large capacity visual long-term memory

14
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parahippocampal place area

borders ventromedial temporal lobe = activated by sight of scenes and backgrounds

  • doesn’t depend on recognition of objects within scene