Cognitive Science Modules 7-12

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all the key terms for these modules for the final exam :)

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165 Terms

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Chomsky’s hierarchy
a containment hierarchy of classes of formal grammars; in the case of languages, it spans from finite to context-free
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Poverty of the Stimulus
* unknown that the stimulus exposed to learner has a relation to linguistic behavior
* children lack sufficient input, negative evidence, and correction
* against B.F. Skinner’s verbal behavior
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Hierarchical structure in language
a way that we mentally represent a sentence; linear relationship is bad as it does not give a clear meaning
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Phonology
study of sounds
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Morphology
study of words and how they are formed
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Syntax
the study of arrangement of words and phrases
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semantics
study of meaning and relationships of words
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syllable density
how many sounds can you put in a row to form one syllable
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What are 7 essential features of human language?

1. mode
2. meaning
3. arbitrariness
4. discreteness
5. displacement
6. productivity
7. cultural transmission
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mode
expression in speech/sign
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meaning
significance of words
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arbitrariness
words do not sound like how they are (ex: “dog” does not sound like an actual dog)
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discreteness
ability to think about something that was not immediate
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productivity
produce new sentences
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cultural transmission
learn language from experience
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competence
knowing what to say → subconscious knowledge of language

* contains mental grammar
* native speakers who have perfect knowledge of language = perfect of this
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performance
being able to produce those words → coordinating linguistic knowledge and other cognitive systems
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language
set of computations our mind does; very structured & principled + connectionist networks are not good at this
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Eric Lennenberg’s biologically controlled behaviors
* behavior emerges before necessary
* emergence is not triggered by external events
* direct teaching and intensive practice little effort
* critical period is where we acquire biological behaviors (i.e. language)
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Early attempt to define meaning was:
truth conditionals (ex: snow is white if and only if snow is white)
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Force vs. Content
* a way to define meaning
* Assertic force: “Snow is white”
* Interrogative force: “Is snow white?”
* Content = meaning = the same
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Sense vs. Reference
* a way to define meaning
* sense: mental, conceptual representation of the word’s meaning
* reference: the thing/object the word describes
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Externalism vs. Internalism
* the best way we currently define meaning
* externalism: meaning is dependent on the objects in the real world
* internalism: meaning is dependent on the representations in your head of that word/sentence
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frontal lobe
emotion, decision making and organization
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prefrontal cortex
short-term memory and ability to pay attention
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temporal lobe
long-term memory, language, comprehension and identifying objects
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brainstem
body basics (i.e. heart rate and breathing); central to alertness and ability to sleep
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cerebellum
skill memory and movement coordination
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occipital lobe
processing visual information
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parietal lobe
processing sensory information + spatial awareness
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somatosensory cortex
responsible for sensations
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motor cortex
responsible for movement and coordination
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corpus collasum
a bundle of neural fibers that connects the two hemispheres
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gyrus
bumps in brain
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sulcus
crevices in brain
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Why is the brain wrinkly?
more surface area → cortex contains more mental computations
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contralateral organization
* the way our brain is organized
* the left hemisphere controls the right side of the body
* the right hemisphere controls the left side of the body
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right ear advantage
right ear → auditory cortex in right hemisphere → language area in left hemisphere

left ear → auditory cortex in right → language area in left hemisphere (much slower)
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split-brain patients
* corpus collasum cut → connections between left and right hemispheres lost
* if a word is written on the right side in field of vision, patient is able to say the word
* left hemisphere dominant in verbal processing
* if a word is written on the left side in field of vision, patient is not able to say the word
* right hemisphere cannot share information with the left hemisphere
* however, patient can draw it
* significance
* left and right hemispheres have specialized tasks
* it is possible that we might have two separate consciousness
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Neuroimaging (list them)
* TMS
* EEG
* MRI (fMRI)
* PET
* fNIRS
* MEG
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What can neuroimaging tell us about? What can it not tell us about?
It can tell us:

* cognitive process that correlates with the brain activity

It cannot tell us:

* anything about cognitive processes
* if brain regions are necessary for these cognitive processes
* how the brain supports these cognitive processes
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Hemodynamics
* measures blood flow in brain
* energy (blood flow) to power brain activity → blood delivers food for neuron firing
* significant as blood flow only travels to the active regions in the brain for a certain cognitive task
* MRI, fMRI, PET, fNIRS
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Electrophysiology
* measures electrical signals from neurons firing
* EEG, MEG
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What do EEG and MEG tell us about the brain?
* when things happen in the brain
* can tell us about the algorithms happening in the brain
* can give you a timeline of what order the operations/computations take place (ex: when the brain region is interpreting a certain word)
* answer questions in Marr’s 3 levels of analysis
* answer questions about mental representations
* this is all due to good temporal resolution
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What does fMRI, MRI, PET, and fNIRS tell us about the brain?
* where things are happening in the brain
* we need to know the computations for functional specialization
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functional specialization
a specific part of the brain does a specific computation
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TMS
* switches brain part that converts words into symbols
* usually to treat depression/anxiety
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EEG
* implants electrodes onto brain’s cortical surface or head
* detect/investigate epilepsy
* convert processes in real time
* stages of processing
* mental representations - how activity can be encoded in the algorithmic level
* active potential (within a neuron: 1 msec) and postsynaptic potential (between neurons and slower: 10s/100msec)
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MRI
uses magnetic field or examine organs, tissue and skeletal system
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fMRI
looks at the function of the brain
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PET
* uses positrons to evaluate function of organs and detect cancer
* injects radioactive tracer
* scanner detects radioactive decay
* measures regional cerebral blood flow (rCBF)
* spatial resolution: 4mm
* temporal resolution: 30-40 secs; very **bad**
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fNIRS
* uses infrared lasers through a person’s head
* reconstructs amount of blood flow by reconstructing the strength of the laser
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MEG
* similar to EEG but instead of electrical it uses the magnetic domain
* detect/investigate epilepsy
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ECG
* sensors attached to skin that detects electrical signals produced by heartbeats
* check heart’s rhythm and electrical activity
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Structural vs. Functional MRI
* represents activity in brain particular to specific stimulus
* calculates the average of all activity recorded for that specific stimulus
* uses BOLD (blood oxygenated level dependent) signal
* no required radioactive tracers
* spatial resolution: 3-6mm
* temporal resolution: 3-6 sec
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invasiveness
how easily can the machine integrate in the brain (poor would mean you would have to cut open the head)
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spatial resolution
refers to pixel density
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temporal resolution
* margin of error time
* how long you have to wait until you get the data
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implicit learning
* cue-based
* effortless
* unconscious
* gradual
* no feedback
* positive examples only
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explicit learning
* rule-based
* effortful
* conscious
* abrupt (info received and learned immediately)
* feedback
* both positive and negative examples
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What does explicit vs. implicit learning experiments show?
* different cognitive processes are used in implicit vs. explicit learning
* explicit is better for doing things quickly: if you tell people what they are supposed to learn it, they learn!
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event-related potentials (ERP)
* measured brain response that is the direct result of a specific sensory, cognitive or motor event that occurred
* ex: I take my coffee with cream and SOCKS
* this triggered a bump in ERP activity
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memory systems
**incoming info** → **sensory** (not attended to = forgotten) → **selective** **attention** (what are we focusing on)→ **working** (not attended to = forgotten) → **successfully coded for storage in long-term memory due to rehearsal buffer** → **long-term**
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sensory memory
* a mental representation of how the environment events involving the senses
* large capacity
* short duration
* two types we know of well: iconic and echoic
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iconic memory
* type of sensory memory
* visual memory
* 250-300ms duration
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echoic memory
* type of sensory memory
* auditory
* lasts for a few seconds
* probably due to the fact that hearing something (i.e. a song) cannot be heard in one instant (unlike iconic)
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working memory
* aka short-term memory
* longer duration than sensory
* more limited storage capacity
* functions: manipulates information and focuses attention
* capacity: 7 recognizable chunks (+/- 2)
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recoding
occurs when representations of individual items are chunked together into another representation and is assigned a label
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decay
memory fades due to passage of time
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rehearsal
revisiting current contents of working memory with the aim of maintaining or improving memorability

2 types: maintenance and elaborative
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maintenance rehearsal
repetition, either linguistically or refreshing images
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elaborative rehearsal
connect to other memories already encoded in long-term memory
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What goes into working from sensory?
anything that is salient! (most important/noticeable)
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mental operations we do in memory
* constructive operations
* transformations
* decision processes
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constructive operations
building a sentence representation
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transformations
mental rotations (scan, zoom)
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decision processes
identification, comparison
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memory
active system that receives, stores, alters and recovers/retrieves information
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encoding
converting information into usable form (ex: coding colors in hex code)
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storage
holding information in memory for later use
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retrieval
taking memories out of storage
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mental search algorithms
* serial processing
* parallel processing
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serial processing
* mentally lining up numbers in order and finding a particular one
* as set size increases, search time increases
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parallel processing
* looking all at the numbers at once to find a particular number
* as set size increases, search time is constant
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self-terminating search
* once you find a particular item in series you would stop
* as position of target is further along in series, search time increases
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exhaustive search
* you search all the items in the series
* may be inefficient but sometimes necessary (ex: finding all the bugs in your basement)
* as position of target is further along in series, search time stays constant
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binary search
order numbers in set
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positive vs. negative trials
* positive indicates number/item was found in series
* negative indicates number/item was not found in series
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parallel search (trials)
as set size increases, reaction time is constant
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serial search (trials)
as set size increases, reaction time increases
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serial search, exhaustive
the rate of increase is the same in both positive and negative trials
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serial self-terminating search
the rate of increase is in both but is greater in negative trials
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long-term memory types
* LTM
* explicit
* episodic → imagery
* semantic → factual info
* implicit (not easy to describe)
* procedural → how to do something
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long-term memory concepts
* constructive processing
* pseudo-memory
* network model
* redintegration
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constructive processing
reorganizing/updating long-term memories on basis of logic, reasoning or adding new information
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pseudo-memory
false memories that are believed to be true/accurate
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network model
view structure of LTM as an organizational system of linked info (ex: “mosquito” → “bite”)
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redintegration
one memory triggers another
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memory in the brain (implementational level)
* sensory info enters the brain
* info is encoded
* hippocampus integrates representation
* representations stored in the cortex
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Is memory stored in discrete locations?
* memory is NOT stored in discrete locations
* distributed representation
* each node (think connectionism) contains parts of a memory
* not stored in a discrete location