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Week 5 Day 1 Notes

by: Rachel McCord

Week 5 Day 1 Notes P155

Marketplace > Indiana University > Psychlogy > P155 > Week 5 Day 1 Notes
Rachel McCord
GPA 3.8
Introduction to Psychology and Brain Sciences
Robert Nosofsky

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About this Document

Due to the exam this week, there was only one day worth of notes for this week. It expands on the topic of perception, including the topics of geons and other models.
Introduction to Psychology and Brain Sciences
Robert Nosofsky
Class Notes
25 ?




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This 2 page Class Notes was uploaded by Rachel McCord on Friday February 13, 2015. The Class Notes belongs to P155 at Indiana University taught by Robert Nosofsky in Spring2015. Since its upload, it has received 110 views. For similar materials see Introduction to Psychology and Brain Sciences in Psychlogy at Indiana University.


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Date Created: 02/13/15
P155 Week 5 Day 1 Notes First step in processing of brain in visual striate cortex feature detectors Perception Object or Pattern Recognition 0 Feature Theory 0 Objects are represented in the mind in terms of lists of features I Assemblage of neurons in mind that make up the letter R I Whatever features the object is composed of there is a list in the brain of those features that get put together to recognize the object 0 When viewing an object the system extracts its features 0 Objects are recognized by matching the extracted features with the lists stored in memory I Initial feature extraction occurs in striate cortex ultimate memories are in higher levels of the brain 0 Eg Selfridge s Pandemonium Model feature cognitive decision quotdemonsquot Pattern Recognition 0 Modern Feature Model 0 Biederman s recognitionbycomponents model RBC I Geons Stands for geometric objects I Fundamental building block parts 3035 0 Objects are composed of a small number of building blocks or parts called geons geometric objects about 30 geons o All of the major types of objects in the world can be recognized by recognizing the geons and placing them in their correct structural relations 0 As long as the view can recognize the geons she can recognize the objects 0 Datadriven or bottomup processing taking elementary features and putting them together to recognize objects 0 Topdown processing use of general knowledge and context to figure out what the features are 0 Examples I THE CAT example uses knowledge of the words to figure out which letter goes where I Robot Voice saying sentence understandable after being told what the sentence is I Phoneme restoration effect 0 Phonemes basic units of sound in a language 0 A listener will automatically replace missing phonemes from a sound string to restore meaning Examples 0 The eel fell off the axle wh o The ee was on the shoe h o The ee was on the orange p


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