W4: Encoding and Retrieval Flashcards
Long-Term Memory
The vast repository that contains all of your knowledge and beliefs, most of which you are hot thinking about (ie, aren’t working on) at this moment.
When we store information in LTM, we often need to retrieve it. This can be easy but can also be difficult - it depends on the retrieval cues we have available to us. We can also use the connections we have between memories - the retrieval paths.
Retrieval Cues
Cue (stimulus/ prompt) from the environment or internal state.
The cue is only effective if it is congruent with what was stored in memory (eg. lifted piano - heavy).
Context Dependent Learning
Forming memory connections between the thoughts, feelings, visuals, sounds, etc, from being in an environment (a context) and the materials being learnt.
Forming links between context cues and target learning material.
Evidence for Context Dependent Learning
Godden & Braddeley’s 1975 experiment and Grant et al.’s 1998 experiment.
Godden & Braddeley’s 1975 experiment
Godden and Braddeley tested participants’ recall ability in different contexts: underwater or on land.
The results demonstrated that memory was worse (recall dropped) when the recall context was different to the acquisition/ study context, compared to when recall context was the same as the study context.
Eg. studying underwater then testing underwater produced better results than studying underwater then being tested on land.
Grant et al’s 1998 experiment
Similar to Godden and Braddeley’s experiment - Grant et al examined noisy vs quiet study contexts, then tested recall in matching or different contexts.
When studying in a noisy context, there was better recall when the testing context was nosy rather than quiet. Likewise, when studying in a quiet context, recall was better in a quiet context as opposed to a noisy context.
Mental Context Reinstatement
Recreating the thoughts and feelings of the learning episode (study context) even if you’re in a very different place at the time of recall.
A strategy with which you can get the benefits of context-dependent learning, because what matters for memory retrieval is the mental context, not the physical environment itself - the psychological context can be just as important as the physical context.
Retrieval Path
When you want to locate information in memory, you travel on those paths, moving from one memory to the next until you reach the target material.
These highways - the memory connections - can influence your your search for the target information. They can also change the meaning of what is remembered.
Encoding Specificity
What you encode (ie, place into memory) is specific - not just the physical stimulus as you encountered it, but the stimulus together with its context. We learn the broader, integrated experience: the word as the perceive understood it.
Example: “piano as a musical instrument” isn’t what participants learned if they got the “the man lifted the piano” sentence - they learned “piano as something heavy”.
Memory (Network)
According to many theorists, memory is best thought of as a network of ideas.
We can think of these representations (ideas) as “nodes” within the network, just like knots in the fisherman’s net. These nodes are tied to each other via connections we’ll call “associations” or “associative links”.
Spreading Activation
Activation travels from node to node via associative links. As each node fires, it serves as a source for further activation, spreading onward through the network.
Activation spreads out from its starting point in all directions simultaneously, flowing through whatever connections are in place.
HOW IT WORKS
A node becomes activated when it has received a strong enough input signal. Once a node has become activated, it can activate other nodes: energy will spread out from the just-activated node via its associations, and this will activate the nodes connected to the just-activated node.
Response threshold
The more activation arrives at a particular node, the activation level for that node increases. Eventually, the activation level will reach the node’s response threshold. Once this happens, the node fires. The firing of the node draws attention to that node; this is what it means to “find” a node within a network.
Sub-threshold activation
Activation levels below the response threshold.
Summation
Activation is assumed to accumulate, so that two sub-threshold inputs may add together and bring the node to threshold.
Evidence for linked nodes / spreading activation
Priming, eg. repetition and expectation-based priming, and semantic priming.