Glossary:DSR model: Difference between revisions
Jump to navigation
Jump to search
Created page with "'''<span id="DSR_model">DSR model</span>''' - xxx" |
No edit summary |
||
| (12 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
;<span id="DSR_model">DSR model</span> of memory (3 component model of memory) | |||
:extension of the [https://supermemo.guru/wiki/Two_component_model_of_memory two-component model of memory] at the neural network level. The two-component model of long-term memory says that a status of memory in a synapse can be described with variables: [[Glossary:Stability|stability]] and [[Glossary:Retrievability|retrievability]]. The '''DSR model''', first used in [https://supermemo.guru/wiki/Algorithm_SM-17 Algorithm SM-17], adds the third variable called '''memory difficulty''', which is an expression of the complexity of the synaptic pattern involved in storing a given memory. The more complex the net of connections involved in a memory, the harder it is to maintain the memory in the long term using [[Glossary:Spaced repetition|spaced repetition]]. In [[SuperMemo]], '''memory difficulty''' is expressed by [[Glossary:Difficulty|item difficulty]], i.e. a number that says how difficult it is to remember an [[Glossary:Item|item]]. There are more variables involved in storing memories that are not part of the '''DSR model'''. For example, both homeostatic and circadian components of sleep propensity have an impact on encoding and retrieving memories at the network level. For more see: [https://supermemo.guru/wiki/Three_component_model_of_memory DSR model] | |||
Latest revision as of 07:12, 3 April 2019
- DSR model of memory (3 component model of memory)
- extension of the two-component model of memory at the neural network level. The two-component model of long-term memory says that a status of memory in a synapse can be described with variables: stability and retrievability. The DSR model, first used in Algorithm SM-17, adds the third variable called memory difficulty, which is an expression of the complexity of the synaptic pattern involved in storing a given memory. The more complex the net of connections involved in a memory, the harder it is to maintain the memory in the long term using spaced repetition. In SuperMemo, memory difficulty is expressed by item difficulty, i.e. a number that says how difficult it is to remember an item. There are more variables involved in storing memories that are not part of the DSR model. For example, both homeostatic and circadian components of sleep propensity have an impact on encoding and retrieving memories at the network level. For more see: DSR model