Multi store model

Displacement – The short-term memories are replaced by more recent memories.

• Distal Stimulus – An external object or event that is being perceived (smells, sounds, objects).

• Rehearsal Loop – Short-term memory repeated and moved to long-term memory.

• Primacy Effect – You remember what you experience first.

• Recency Effect – You remember what you experience most recently.

• Level of Processing – (Not provided, add your own definition if needed.)

• Ischemic Stroke – A stroke caused by a blood clot blocking blood flow to the brain.

• Case Study – A study surrounding a single person, uses method triangulation, always longitudinal.

Memory Theories & Contributions

• Miller – People can store 7±2 memories in their short-term memory.

• Milner – Performed the longitudinal study of HM. Temporal lobe removal taught about amnesia.

• Lashley’s Theory of Equipotentiality – Mouse study with the ice pick to discover where memory is stored. Memory is not stored anywhere specific.

• Glanzer and Cunitz – Primacy and recency effect.

Types of Memory & Brain Areas

• Semantic Memory – Hippocampus

• Procedural Memory – Cerebellum

• Emotional Memories – Amygdala

• Episodic (Autobiographical) Memory – Hippocampus

• Habits – Basal Ganglia

Evaluation of Multi Store Model (MSM)

• Strength: Separates long and short-term memory – The model clearly differentiates between short-term and long-term memory.

• Strength: Lots of research to back it up (replicability) – Many studies support the model’s validity.

• Strength: Biological evidence (HM case) – The case of HM provides biological support for the MSM.

• Limitation: Oversimplified – The model does not account for complexities in memory processing.

• Limitation: Doesn’t explain the role of emotion, memory distortion – The MSM does not address how emotions or distortions affect memory.

• Limitation: Confabulation (sometimes rehearsal doesn’t work) – Sometimes, repeatedly rehearsing information does not guarantee accurate recall.

• Limitation: Combining two (artificial) memories – The model does not consider how two memories can merge into one.