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intro, neural basis, vision, recognition
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introspection
observing and recording your own thoughts and experiences without interpretation
Wundt and Titchener
behaviorism
created as a response to the limitations of introspection
focused on observable behaviors and stimuli
learning history is available and can be objectively studied
less subjective
measurable
watson, skinner, pavlov, thorndike
problems with introspection
some thoughts are unconscious
thoughts are not directly observable or measurable
self reports may not accurately reflect the conscious experience
problems with behaviorism
did not allow for the study of unobservable mentalistic notions (beliefs, expectations, goals)
stimulus response accounts are not enough to explain behavior
cannot accurately study and explain behavior without considering mental causes
blackbox
cognitive interpretation between input and output
beliefs, expectations, goal
the cognitive revolution was based on two ideas
the mental world cannot be studied directly
the mental world must be studied in order to understand behavior
transcendentalism
reason backward from observations to determine the cause
inference to best explanation
helps make inferences about what happens in the blackbox
Kant
cognitive psychology
study of the acquisition, retention, and use of knowledge
mental processes underlying human behavior
focuses on understanding how individuals perceive, think, remember, learn, solve problems, and make decisions.
How do cognitive psychologists study mental events?
Indirectly --
Measure stimuli and responses
Develop hypotheses about mental events
Design experiments to test the hypotheses
process of research in cognitive psychology
form hypothesis
derive predictions from hypothesis
collect data to test predicions
confirm, modify, or reject hypothesis
possible methodologies
performance or accuracy
response time (RT)
cognitive neuroscience
study of brain and nervous system to understand mental functioning
cases of brain damage or impairments
neuroimaging techniques
model predictions for RTs
parallel model
serial self-terminating model
serial exhaustive model
(serial self exhausted is supported by the data)
paralel model
Search all of them at the exact same time
Doesn’t matter how big the list is you have the exact same reaction time
compare all at once, make decision
Flat line on graph
Tuning fork
serial self-terminating model
Stop once you find the match
serial exhaustive model
Two possibilities
Yes/no have same slope...
looking at everything before making a decision
supported by the data
capgras syndrome/delusion
difficulty with emotional analysis of faces
recognize that people look like their loved ones but believe they are imposters
Missing emotional evaluation
damage to amygdala (emotional)
damage to prefrontal cortex (logical)
principle structures of the brain
hindbrain
midbrain
forebrain
hindbrain functions
Essential for survival
controls key life functions
unconscious
Basic rhythms--heart beat, breathing
Alertness
posture and Balance
hindbrain structures
atop the spinal cord
pons
medulla
reticular formation
cerebellum
midbrain
sits above the hindbrain
sensory relay
Coordinates eye movement
Includes parts of the auditory pathways
Regulates the experience of pain
forebrain functions
Most cognition happens in the forebrain
forebrain structures
Cortex convolutions
Subcortical structures
4 lobes
frontal lobe
occipital lobe
parietal lobe
temporal lobe
forebrain: subcortical structures
Thalamus: sensory relay and integration
Hypothalamus: simple motivated behaviors (4 Fs: fight, flight, feed, fuck)
Limbic system
Amygdala: emotional processing
Hippocampus: learning and Memory
cortex cerebral lobes
Thalamus, hypothalamus, limbic system (amygdala, hippocampus)
which side of the brain is the language center
left side
brocha area
wernick area
split brain
• Severed corpus callosum
o treatment for severe epilepsy
o limits communication between the hemispheres
• Evidence for some hemispheric specializations of functions
spatial/attentional neglect
deficit in attention
Neglecting events in the world as well as mental images
Not a sensation problem but a perception problem
ID: half daisy or half clock
3 different steps of attention
disengage
shift
engage
prosopagnosia
Patients cannot recognize familiar faces, maybe including their own.
They can describe the face and its expression but cannot recognize it.
structural brain imaging techniques
Wants to create 3D map
CT
MRI
functional brain imaging techniques
wants to measure activity
PET
fMRI
EEG
Indirect brain behavior measurement techniques
PET
MRI
CT
direct brain behavior measurement techniques
EEG and single cell recording
electrical measures measure neural activity directly
explicit memory
conscious recall of previously learned information
facts
implicit memory
unconscious
things you were not aware of (includes classical conditioning)
lateral inhibition
A pattern in which cells, when stimulated, inhibit the activity of neighboring cells. In the visual system, lateral inhibition in the optic nerve creates edge enhancement.
Computerized axial tomography CT
Uses X-rays to take pictures of slices of tissue on an axis
Radiation similar to what you get on a long flight
Better for bones
Lower resolution
detect brain structures, not activity
Magnetic resonance imaging MRI
Uses magnetic fields and radio frequency pulses to produce pictures of organs
Better for soft tissue
No radiation
Very powerful superconductor
detect brain structures, not activity
Positron emission tomography PET
measures metabolic or biochemical brain activity
If the brain is more active, it demands more glucose
Strength: spatially locating neural activity (where?)
Weakness: temporally locating neural activity (when?)
functional magnetic resonance imaging fMRI
observes and maps brain activity by detecting changes in blood flow
BOLD
blood oxygenation level dependent
Strength: spatially locating neural activity (where?)
Weakness: temporally locating neural activity (when?)
Electroencephalogram EEG
Records electrical communication within neuron
Firing of action potentials in a neuron
Millions of neurons create an electrical field
Strength: temporally locating neural activity (when?)
Weakness: spatially locating neural activity (where?)
subtraction method
Brain is always active
Find the difference between resting and active
III0I - IIIII = 000-I0
how to overcome limitations of neuroimaging techniques
combine techniques
use TMS for causal evidence
Transcranial magnetic stimulation TMS
Magnetic pulses activate neurons
Produces temporary lesions
Provides causal data
does not measure brain activity or structure
spatial resolution
exactly where
the ability of a neuroimaging technique to distinguish between two separate points in space, effectively determining how detailed an image can be
the capacity a technique has to tell you exactly which area of the brain is active
temporal resolution
exactly when
the duration of time for acquisition of a single frame of a dynamic process
It is a measure of how quickly data is collected or how frequently images are captured over the same geographic location
ability to tell you exactly when the activation happened
primary projection areas
Regions of the cortex that serve as the brain's receiving station for sensory information (sensory projection areas) or as a dispatching station for motor commands (motor projection areas)
damage to association cortex results in
Apraxia—movement
Aphasia—language
Prefrontal damage—planning, strategic thinking, inhibition
Agnosia—identifying objects
associative agnosia
Recognition Issue: individuals can perceive the overall structure of objects but cannot associate this perception with stored knowledge about the object.
can describe the object
can perceive and bind basic elements but not
able to associate that representation with what they have in memory. Can copy drawings but not able to recognize them
appreciative/apperceptive agnosia
Perception Issue: Individuals have difficulty perceiving the overall structure of objects.
can perceive basic elements but cannot put
these elements together and identify the object. Drawing an
object will have all elements but will be a mess. Drawing from
memory is intact.
Two methodologies for assessing brain-behavior function
Impairments after damage to the brain (e.g., lesions), which we examine for loss of a function, compared to normal functioning brain.
Indirect (brain imaging) and direct (EEG) measurement of cognitive activities in intact brains
Glia
Guide development of nervous system
Repair damage
Controls nutrient flow
Electrical insulation speeds signal transmission (myelin sheath around some axons)
Neuron strucure
Dendrites: detect incoming signals
Cell body: contains the nucleus and cellular machinery
Axon: transmits signals to other neurons
all or none law
an action potential is fired only if the threshold is reached.
The electrical signal is always of the same magnitude.
perception
how the brain interprets stimuli
• Transformation of physical energy into psychological experience
• What we see is not just determined by the stimuli in front of our eyes, but also our brains interpretation of that stimulus
perceptual system
Operates to generate hypotheses about what objects are being perceived, given the available data
sensation
what the body feels
Describing things in the most basic form
akinetopsia
unable to perceive motion
See “nothing” between locations
animation with low FPS
3 main layers of the retina
Photoreceptors (rods and cones)
Bipolar and ganglion cells, whose axons make up the optic nerve.
Horizontal and amacrine cells, allow for lateral interaction
Cones
mostly in the center (fovea)
color sensitive
higher acuity
lower sensitivity
Rods
periphery of the retina
color blind
lower acuity
higher sensitivity
blindspot
There are no photoreceptors on top of the optic nerve.
This creates a blindspot ~18 degrees outwards from directly where you are looking
floaters
debris in your eye that are floating down toward the retina
Purkinje Trees
blood vessels become visible when light is shined in peripheral
used to the shadows on that side of the retina cast by the blood vessels but changes when the light is shined in your peripheral
sensory adaptation/stabilization
things that are usually fixed in our eye we “subtract out” of our vision
visual information in the eye
Photoreceptors
Bipolar cells
Ganglion cells and the optic nerve
visual information in the thalamus
Lateral geniculate nucleus (LGN)
visual information in the cortex
V1—the primary visual cortex, located in the
occipital lobe
single cell recording
A neuron’s firing rate, or frequency of action
potentials, is recorded as various visual
stimuli are presented
Investigators manipulate what is being shown
and then record how often the cell fires
This allows us to determine what stimulus
characteristics influence the cell’s firing
receptive fields
size and shape of the area certain cells respond to
the what system
temporal
identification of objects
Occipital-temporal pathway
What goes wrong: Visual agnosia
the where system
parietal
Location of objects
Occipital-parietal pathway
What goes wrong: Problem reaching for seen objects
binding problem
parallel processing splits up the problem, but we do not see the world as disjointed
how our brain integrates different types of sensory information to form a unified perception of an object
When we perceive an object, our brain processes various features like color, shape, texture, and motion separately in different areas
factors that help solve the binding problem
Spatial position
Neural synchrony
spatial position
the visual areas processing features like shape, color, and motion each “know” the spatial position of the object
features detected in the same location are likely to belong to the same object
By mapping features to specific locations, the brain can keep track of which features belong together, helping to integrate them into a single perception
neural synchrony
the visual areas processing features of the same object fire in a synchronous rhythm with each other
The timing of neural firing helps bind features together, ensuring that the brain perceives them as a cohesive whole
conjunction errors
correctly detecting the features but making errors regarding how the features are bound together
top down processing
relies on perception
concept driven
knowledge or expectation driven effects
We already have an understanding of the whole and we go from the whole down to the specific parts
Using an understanding of the big picture to reason about the individual pieces
Memory knowledge prior experiences
external
bottom up processing
relies on sensation
data driven effects
Using individual pieces of information to make sense of the big picture
identify the sensation before you start interpreting it
simple visual features
sensory input
optical illusions
a misperception (seeing something other than the truth)
demonstrate the gap between what exists and how our minds interpret it
evidence that our perceptual systems generate hypotheses about what objects are being perceived, given the available data
rare because our minds have
evolved to have interpretations that almost
always work in our environment
gestault principles
Similarity
We tend to group like things together
Proximity
Things close together are grouped together
Good continuation
Even if you cant see what is happening in the background
Closure
If the angles line up right
Simplicity
General foundational principle
Simplest possible explanation
Least amount of items
constancy
Despite sensory information changing, object properties can appear as constant
perceptual constancy
Shape constancy: We recognize an object as having the same shape even when viewed from different angles
Brightness/color constancy: We see an object as having the same color under different lighting conditions
Size constancy: We perceive an object as having the same size even when its distance from us changes
binocular disparity
each eye receives different stimuli
Two Eyes, Two Views: Because our eyes are about 6-7 cm apart, each eye views the world from a slightly different angle.
Disparity: This difference in the images is called binocular disparity. The brain uses this disparity to calculate the distance to objects.
Depth Perception: By comparing the two images, the brain can create a 3D perception of the world, allowing us to judge depth and distance accurately
monocular distance cues
depth cues that can be perceived using just one eye
Interposition/overlap: When one object overlaps another, the overlapping object is perceived as being close
linear perspective: Parallel lines appear to converge as they recede into the distance, like railroad tracks meeting at the horizon
texture: Textures become denser and less detailed as they move farther away.
shading: The way light and shadows fall on objects can give us clues about their shape and distance
Motion Parallax: When we move, objects closer to us move faster across our field of vision than objects that are farther away
Relative Size: Objects that are farther away appear smaller than those that are closer, even if they are actually the same size.
Relative Height: Objects positioned higher in our field of vision are perceived as being farther away.
depth through motion
Motion Parallax: When we move, objects closer to us move faster across our field of vision than objects that are farther away
Optic flow: Future seeing hypothesis
Multiple cues provide information across different circumstances
form perception
carving up the world into objects, foreground and background
cues to depth
We need to know distance to be
successful at size, shape, and
brightness judgments
objectivist view
Our senses precisely, and accurately, reflect
the physical world
subjectivist view
there is no inherent organization to the world,
but rather, our brain organizes our
perceptions, and we therefore believe the
world is, itself, organized
synthetic/constructionist
Perception is transformation of physical energy into
psychological experience
What we see based on the stimuli, but also our brain’s
interpretation of the stimuli
benefits to recognition beginning with features
Building blocks
basic features combine to form more complex patterns
allowing a single object-recognition system to deal with a variety of targets using the same building blocks
commonalities within variable objects
focus on common features makes it easier to recognize objects quickly and accurately, even when they vary in appearance
generalization across different objects
The common features detected in bottom-up processing can be shared across many different objects
allowing the recognition system to be flexible and adaptable, recognizing objects in different contexts and variation
features
the small elements that result from the organized perception of form
visual search
suggest that unique features have priority in perception
word superiority effect
It is easier to perceive letters together than in isolation
frequency effect
More likely to recognize high frequency words
Recognize words that we encounter more often
repetition based priming
if you have encountered it recently you are more likely to recognize it
well formedness
the more representative a string is of the regular patterns of spelling in that language then the easier it is to recognize the string and the greater the context benefit produced by the string
More likely to recognize real words than gibberish
And more likely to recognize gibberish that follows common spelling conventions than gibberish that does not
feature nets
explain how the brain recognizes patterns, such as letters and words
Feature Detectors: These are the lowest level and detect basic visual features like lines, curves, and angles.
Letter Detectors: The next level up, where combinations of features are recognized as specific letters.
Bigram Detectors: These detect common pairs of letters (bigrams), helping to recognize familiar letter combinations.
Word Detectors: The highest level, where combinations of letters and bigrams are recognized as whole words.
feature nets consist of
Nodes pass along activation through links.
The activation from multiple nodes sums up at higher levels.
If the summed activation exceeds the decision threshold, the node at that level is activated, leading to recognition.
This process helps explain how we can recognize complex patterns, like words, from simpler visual features efficiently and accurately
nodes: different levels of detectors (features, letters, bigrams, words)
links: connections between nodes
Activation sums: Each node has a certain activation level. When a node receives activation from multiple sources, these activations sum up
decision thresholds: The node will only trigger recognition if this summed activation exceeds a certain decision threshold. This threshold ensures that only sufficiently strong and consistent patterns are recognized, reducing errors.