Study your flashcards anywhere!

Download the official Cram app for free >

  • Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

How to study your flashcards.

Right/Left arrow keys: Navigate between flashcards.right arrow keyleft arrow key

Up/Down arrow keys: Flip the card between the front and back.down keyup key

H key: Show hint (3rd side).h key

A key: Read text to speech.a key

image

Play button

image

Play button

image

Progress

1/9

Click to flip

9 Cards in this Set

  • Front
  • Back

What is the Binding Problem?

Selective Attention Problem of how it is we are able to have stable representation of the world full of integrated objects whilst avoiding confusing these features (colours, size, motion, etc) with other objects

What defines the binding problem?

1) Many Stimuli in visual scene


2) Specialised modules process visual scene: much evidence for this
Dorsal Pathway: motion
Ventral Pathway: Colour Shape


Parietal Lobe combines these


Large amount of space taken up by specialised modules --> how do receptor fields not conflict with one another
i.e. activated red feature and motion feature: how do we not confuse reality (i.e. moving green object and red stationary object) with imagination (moving red object)

1) What does FIT stand for?


2) Who created the theory?

1) Feature Integration Theory

2) Treisman and Gelade (1980)

Briefly describe FIT

Objects: several features (colour, shape, size, etc)


Features perceived by Specialised Modules : FEATURE MAPS.
Feature maps analyse specific features: automatically, parallel and pre-attentively (unconscious perception)


Information: "Flags" features in visual field & implicit information on spatial location


Feature maps then combine to create MASTER MAP: requires attention --> allows object perception and representation





What are the assumptions of FIT?

1) Features are free-floating until bound by object representation


2) Object representation occurs AFTER conscious attention allocated to feature maps

What is the main support for FIT?

1) Visual Search: e.g. Neisser


2) Illusionary conjunction: Treisman & Schmidt (1997??)

Explain Visual Search tasks

Feature Search: target differs from distractor by one feature


Conjunction: Target shares two, or more features with distractors

Explain the assumptions of FIT on visual Search Tasks

Feature: Easy and Fast, can be done without conscious attention, flag information from feature allows it to "pop out" of visual scene. Can be done in parallel
Display size does not impact on the performance.
e.g. Hubel & Weisel (1987?)


Conjunction: Harder and slower, cannot be done without conscious attention, needs to bind features to spatial location to be able to process similarities and differences and needs to be done serially
e.g. Neisser (1964; 1967)

Explain Illusionary Conjunctions

Brief presentation impairs the binding of features which in turn impairs the perception of visual scene (i.e. causes illusions)