Memory Flashcards
HIGH YIELD
Encoding
process of putting new information into long term memory
Automatic Processing
- gaining of information without effort
- much of the information we gain is passively absorbed from the environment via this type of processing
Controlled (Effortful) Processing
- active memorization
- with practice this can become automatic
What are the 4 different types of encoding?
- visual encoding (visualize it)
- acoustic encoding (store the way it sounds)
- tactile encoding (how things physically feel; ex. feeling of sand on your feet)
- semantic encoding (related to you as a person; ex. the meaning of a word, phrase or event; if someone gives you the nickname Speck then you now associate that nickname as yourself)
Which type of encoding is the strongest?
semantic encoding
Which type of encoding is the weakest?
visual encoding
Self-Reference Effect
recall information best when we put it into the context of our own lives
Maintenance Rehersal
the repetition of a piece of information to either keep it within working memory (to prevent forgetting) or store it in short-term memory and eventually long-term memory
Mnemonics
- common way to memorize information, especially lists
- acronyms or rhyming phrases that provide an organization of the information that is supposed to be remembered
Method of Loci
involves associating each term in a list with with a location along a route through a building that has already been memorized
Peg-Word System
associates numbers with items that rhyme with or resemble the numbers
Chunking/Clustering
- memory trick that involves taking individual elements of a large list and grouping them together into groups of elements with related meaning
- ex. phone numbers
What are the different types of memory storage (4)?
- sensory memory
- short-term memory
- working memory
- long-term memory
Sensory Memory
- first and most fleeting kind of memory
- consists of both iconic (visual) and echoic (auditory) memory
- lasts only a short time (<1 second)
- maintained in occipital and temporal lobe
- easier to recall small subset of letters rather than whole set of letters
Short-Term Memory
- transient and base on neurotransmitter activity
- fades within 30 seconds if no rehearsal occurs
- limited to a capacity of about 7 items – 7+2 Rule
- housed primarily in the hippocampus (where consolidation of short term into long term memory occurs)
Working Memory
- enables us to keep some information in consciousness simultaneously and can manipulate that information
- supported by the hippocampus, frontal lobe and parietal lobe
- involves integration of short-term memory, attention and executive function
Long-Term Memory
- requires elaborate rehearsal (association of the information to knowledge already stored in long-term memory)
- result of increased neuronal connections
- primarily controlled by hippocampus but the memories are moved to the cerebral cortex over time
- two types: implicit, explicit
- capacity is not infinite because we age
Implicit (Nondeclarative/Procedural) Memory
- one type of long term memory
- consists of our skills/tasks and conditioned responses
- unconscious
- ex. riding a bike, typing, driving a car
Explicit (Declarative) Memory
- one type of long term memory
- consists of memories that require conscious recall
- can be further divided into 2 types:
(1) semantic memory (facts that we know)
(2) episodic memory (our experiences)
Retrieval
- occurs when you take a memory from long term memory and put it in working memory
- the process of demonstrating that something that has been learned has been retained
Recall
- the retrieval and statement of previously learned information
- ex. free response question on exam
Recognition
- the process of identifying a piece of information that was previously learned
- ex. multiple choice exams
Semantic Network
- how the brain organizes ideas
- concepts are linked together based on similar meaning
Spreading Activation
- occurs when one node of semantic network is activated and the other linked concepts around it are also unconsciously activated
- connections between neurons aka neural networks