ALL LEC MATERIAL Flashcards
before midterm (129 cards)
__________: function of our sensory system
sensation
________: interpretation of sensations giving meaning and organization
perception
______ approach:
objective description of an organisms behaviour
dominant approach in the 1930’s to 60’s
ex) classical conditioning, and operant conditioning
behaviourist approach
______ approach
sensory experience = insufficient
sensory info from environment must be integrated
perception shaped by learning + expernce
empiricst/ constructuvist
________ approach:
sensory experince= insufficient
perception based on innate abilities
ex) perciving bike as whole and not a bunch of shapes
gestalt approach
_________ approach:
sensory info sufficient
no memory/ cognition needed
perception rich cause environment rich
ex)
affordances
optic flow
Gibsonian approach
________ approach
sequential flow of info
sensory info passes through stages
ex)
feedback
feedforward
info processing
______ approach:
perception requires solving problems
critical thinking used
using knowledge of physics + math yo create models
behaviourist approach
objective description of behaviour
empiricst/ constructuvist approach
perception is derived from sensory inputs that are interpreted from previous experience
Gestalt approach
perception is innate
Gibsonian approach
perception = direct cause environment contains all necessary info
info processing approach
sensory input processed in stages + interconnected
computational approach
uses math principles to solve perceptual problems
rate coding
number of time a neuron fires within and interval
temporal coding
timing of individual AP’s in response to temporal variations in a stimulus
ex) skin vibrations, sounds
population coing
combining activity of many neurons * important for how we perceive environment
tuning curves
show how patterns of neuronal firing are selectively tuned
created for neurons of diff sensory systems
useful for studying the enoding + processing of sensory info in the brain
computational model types
- efficient coing
- bayesian models
- ANN (artificial neural network)
efficient coing
discover predictability
ex) do i need to code this pix in the purple boat view
bayesian models
stats to make perdictions from prior knowledge
PROBABILITIS
ex) if red boat drifts what will it see
ANN
Artificial neural network
connecting input + output
stimulated via computers
imaging tech
- EEG
- ERP
- MEG
- CT
- MRI
- FMRI
- BOLD
- Measure of electrical activity from neuron populations
- measure of electrical activity from subpopulation of neurons
- change in magnetic activity across pop of neurons; similar to EEG
- multiple x-rays slices of body
- uses atom responses to strong magnetic fields
- finds localized patterns of brain activity
- permits localization of brain neurons that are most involved in a task
absolute threshold
minimum amount of stim necessary for a person to detect a stimulus 50% of the time