✔︎✔︎✔︎✔︎✔︎✔︎✔︎PSY 3280: Chapter Four: SENSATION & PERCEPTION, PART 2

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Last updated 1:10 AM on 10/1/26
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43 Terms

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Why is object recognition is important?

Necessary for applying knowlede and learning

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What is like for patients with associative Agnosia?

Can see objects but unable to link knowledge to what the object is

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Where does recognition begins with?

Features

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The advantages of a feature-based system?

-Building Blocks of preception

-Objects commonalities needed for search

-Cruical for visual search

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The differences between parallel and serial search

Parallel: pop out effect--one feature at the time

Serial: One feature need, which is need to look one by one in a group or series

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Apperceptive agnosia

the lack of ability to organize elements that they see in regards to an intact object.

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What is Tachistoscope Methodology process?

1. A stimulus (word, letter, or random set of letters) flashed

2. Identification of the stimulus by the participant

3. The experimenter can stimuli, presentation time, or the context

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Frequency effects

The effect of recognition after presentations for printed words compared to words appearing only rarely

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Priming Effects

-recently viewed words = recognized more often

-repetition priming

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What is a neural network?

A neural network is made up of groups of neurons that work together to detect different things.

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What is a receptive field in a neural network?

A receptive field means a detector responds to a specific shape, pattern, or location.

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What happens to a detector in a neural network as it receives more input?

The more input a detector receives, the more active it becomes.

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What occurs when a detector's activation reaches a certain threshold?

The detector fires.

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What effect does one detector firing have on other connected detectors?

It increases the activation of the other detectors it is connected to.

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How do simple detectors relate to complex detectors in a neural network?

Simple detectors connect to more complex detectors, allowing the network to recognize more complicated things.

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What could explain feature nets in two words?

-Reptition priming

-Familarity

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reptition priming

more recent words are more recognized

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Familarity

more frequent words in the langauge are more recognized

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What happens to the detectors when both of these results?

detectors have a higher activation level

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<p>Word-Superiority effect</p>

Word-Superiority effect

tendency to identify a letter more accurately when it is part of a word than when it is presented by itself

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What is world superiority based on?

Probability

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The latter of bigram detectors

Feature -> letter -> Bigram -> Word

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word superiority effect: Feed Foward

the letters only go one way

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Feature net model have what

-inhibitory and feedback

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Inhibition

Helps singal the reduction activation

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Feedback

Helps with the detection effect activation of lower order detector

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Feature net featues

-Not represented local knowledge

-contains distrbuation of knowledge

-efficiency exist for the sacrifice accuracy

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How can errors aise from feature net?

The limitations of the network's ability to deal with inputs and recover fromerros

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Bottom Up Perception features

senses and feature

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Bottom up perception: information and perception

-Parts are organized into a whole

-stimulus provides information

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Top-Down Perception features

Context and priming

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Top Down perception: Information and perception

-the whole and THEN, the indivdual parts are need

-experience driven > stimulus data

-a source of misperception

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TRUE/FALSE: obeject is complicated

TRUE

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Recognition by Geons

-theory of object recognition is based on genos

-feature nets that 'bulid up' of geons to get to a whole objects

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What are geons?

basic units of objects

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The Geon viewpoint invariant recognition

the recogniation of objects from just a few geons

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Theoy of recognition by mutiple views

the ability to identification of an object from multiple angles and views

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A disadvantage of Theoy of recognition by mutiple views

it is just too many views to store objects

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A solution to the disvantage

-a subset

-a mental images to rotate to store views

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What happens after the solution is applied to the Theoy of recognition by mutiple views?

-Speed of recognition

-Rotation takes time to set

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Prosopagnosia

inability to recognize different faces

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What makes special identification occur?

-interpretation of face

-high expertise

-recognization of special individuals

-important configurations of component parts

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Hollistic Processing

perceptual analysis that emphasizes overall shape of object

-face perception reflects the whole