1/38
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
Squire’s Model of Long-Term Memory
LTM → Nondeclarative + Declarative memory
Nondeclarative memory → procedural (motor) memory + implicit memory
Declarative memory → episodic + semantic memory
Explicit Learning vs. Implicit Learning
We can learn with/without conscious effort
Explicit learning: learned with conscious effort
Ex. studying for an exam
Implicit learning: learned without conscious effort
Happens passively, with repeated exposure
Ex. picking up song lyrics without trying
Implicit Learning Study
Participants were given a cue then pressed an associated button as fast as possible
Cues were usually in random order, but a 10-item sequence sometimes occurred
Participants became very fast at the 10-item sequence → could anticipate each subsequent key
Participants weren’t aware that they were learning the pattern → implicit learning
Procedural Memory in Amnesia
Amnesiac patients can acquire new skills
HM’s mirror drawing performance improved
Dissociation between “knowing how“ (procedural) and “knowing that you know how“ (episodic)
HM got better and better at the mirror reading task (↑ procedural)
BUT didn’t remember doing the task (↓ episodic)
Amnesiacs acquire this skill at a similar rate to controls → procedural memory stays intact
BUT don’t remember doing it → episodic memory is damaged
Skill
An ability to perform a task that has been honed through learning
Reading
Kicking a ball
Skill memory, aka procedural memory
Skill memory vs. Episodic/Semantic memory
Similarities
Improves with practice
Can become long-lasting
Distinctions
Often hard to verbalize
Can be learned and retrieved without conscious awareness
Always requires repetition for goog learning
Distinct brain substrates
Kinds of Skill Memory
Operant responses
Perceptual-motor skills
Cognitive skills
Perceptual-motor skills
Learned movement patterns guided by sensory inputs
Ex. how to hit a curve ball, how to spike in volleyball
Closed: rote sets of movements
Same every time
Open: require adjustments based on environment
Cognitive skills
Habits of problem solving
Ex. reading, composing a paper
Not as embodied but get better with practice
Perceptual-motor skills vs. Cognitive skills
Although these categories can be helpful:
Most skills involve both cognitive and perceptual-motor components
Ex. writing
Learning for both types of skills seems similar
Stages of Skill Learning (Lövden et al.)
Expansion/Exploration
Test a broad pool of candidate neural circuits for performing the job
Start wide → multiple pathways
Selection
Choose the most promising circuit
Best/most efficient pathway
Refinement
Further training of selected circuit
Strengthen that chosen circuit → increase speed, efficiency, automaticity
Paul Fitts: Stages of Skill Learning
Cognitive stage
Performance is based on rules that can be verbalized
Thinking quite hard
Ex. using written instructions to set up a tent
Associative stage
Actions become stereotyped
Muscle memory with same steps
Ex. setting up tent in a fixed sequence, without instructions
Autonomous stage
Movements seem eutomatic
Without thinking/focus
Ex. setting up a tent while having a conversation
Practice: Overview
Research shows that not all practice is good practice
Possible to reinforce wrong circuit
Practice is usually ineffective without quality feedback
Feedback shouldn’t be too frequent
Spaced out practice > massed practice (cramming)
Varied practice (mixed skills) > constant practice (single skill)
Practice: Feedback
Feedback is when you gain knowledge of results during training
Indication of how well you are performing the skill
Feedback is essential for most types of learning
Practice: Feedback (Thorndike)
Asked participants to draw lines exactly 3 inches long while blindfolded
Half the participants were given feedback
Other half wasn’t
Despite equal practice → only feedback group improved
Practice: Feedback (Frequency)
Frequent feedback is helpful initially, but doesn’t lead to high long-term performance
Could become reliant on it
Infrequent feedback causes a slower start, but usually leads to better long-term performance
Not enough guidance to begin with
Best: a mix
More frequent feedback in the beginning
Less feedback afterwards
Power Law of Learning
With effective practice, performance increases
Remarkably, the pattern of performance gain is similar across tasks and species
PLL:
Gains are rapid at first, but decrease proportionate to what has already been learned
Same shape as Ebbinghaus curve
Practice: Spaced vs. Massed
Spaced practice is much more effective
Postal workers trained on a sorting machine:
Conditions: 1hr/day, 2hr/day, 4hr/day
1hr condition got better in a shorter total # of hours, but more spread out
Spacing = less studying needed to get better
Practice: Constant vs. Variable
Constant practice: focused on a single skill
Ex. play the G major scale 20 times
Varied practice: alternates between a set of skills
Ex. play 4 different scales 5 times each
Variable practice is often (but not always) more effective
May very well feel to the participant that they are doing worse, though → focusing on multiple may feel like you’re not progressing
However, constant practice is sometimes good or better → unclear how to pick the best practice schedule for a given skill
Habits
Behaviours that become automatic and routinized
Generally develop through operant conditioning processes
Habits can be:
Adaptive/beneficial
Neutral
Maladaptive/harmful
Individual differences
Different people form habits in different ways and over different spans of time
Some habits may require lots of repetition, others can develop quickly
Tolman, Ritchie, Kalish: Mouse Maze
Two start locations: S1 and S2
Two goal locations: G1 and G2
Food for mice
Rats trained in one of two ways:
Response learning
A particular response was always enforced
Ex. always turning right, regardless of S1/S2
Place learning
A particular location was always reinforced
Ex. always going to G2 regardless of S1/S2
Place learning develops much quicker
Dual Solution Task
Training
Rats are trained starting the same arm (S1/S2) and always find food at a consistent location (G1/G2)
Could solve task in two ways:
Learn the correct response → always G1
Learn where to go → always turn left
Testing
Removed food from maze to see where rats would go
8 days of training later: place learning dominates (always going to G2)
16 days of training later: response learning dominates (always turning left)
Indicates habit → automatic
Expert
Someone who has developed a skill better than most people
Expertise
Seems to involve perceptual learning that lets the expert see the world differently than a novice
Ex. chess masters scan the board differently than novices
Talent
Ability to master a skill with little effort
Ex. some people have a knack for languages
Those who start off performing a skill well are more likely to have an easier time becoming experts
Get better feedback earlier → positive feedback → stick with it
Becoming an Expert
How does one become an expert?
Through extensive practice
Through talent
Twin studies → show that both expertise and talent matter
Chunking theory
Experts organize information into larger, more meaningful units called chunks
Allows for more efficient processing and recall of domain-specific information
Template theory
Extension of chunking theory
Experts develop complex cognitive structures (templates) that include both fixed and variable information
Deliberate Practice Theory
Expertise is developed through highly structured, effortful practice
Must be very deliberate and intentional
Focused on improving specific aspects of performance with immediate feedback
Cognitive Load Theory
Experts have automated many domain-specific skills, reducing cognitive load (automaticity → saves cognitive load)
Pattern recognition: can quickly recognize patterns in their domain
Specialized production rules: allow for rapid, automatic responses in domain-specific situations
Allows them to tackle complex problems more efficiently
Basal Ganglia
Sits at the base of the forebrain
Striatum (largest structure) involved in conjunction of movement and reward
Regulated velocity, direction, and amplitude of movement → movement characteristics, fine tuning
Collects input from throughout cortex
Outputs to:
Thalamus → motor cortex
Brainstem (+ spinal cord)
Motor areas to refine movement
Damage: Basal Ganglia vs. Hippocampus
Basal ganglia:
Selectively impairs skill learning
Spares episodic memory
Hippocampus:
Impairs episodic memory
Spares skill learning
Basal Ganglia: Roles
Particularly important in forming new skill memories
Precise role of the basal ganglia is unclear
Basal ganglia is involved in movement → lesion effects on skill learning could be due to movement problems
Not specific to learning
Unclear if the basal ganglia are involved in consolidation/storage of skill memory, or both
Some evidence suggests the ultimate site of storage is the cortex
Dual Solution Task: Basal Ganglia and Hippocampus
Injected saline (control) or lidocaine (sedative- temporary brain damage) into rat brains at each day to see how response/place learning is affected
At Day 8:
Injecting lidocaine in basal ganglia → no effect
Injecting lidocaine in hippocampus → place learning disrupted
At Day 16:
Injecting lidocaine in basal ganglia → response learning disrupted
Injecting lidocaine in hippocampus → no effect
Summary:
Place strategy dominates (involves hippocampus) →
Response strategy dominates (involves basal ganglia - becomes habit)
Cerebellum and Skill Learning
Patients with cerebellar damage take twice as long to trace images compared with controls
Rate of learning is similar to controls
Damaged patients just start at a lower point
Experience-Dependent Plasticity: Functional Changes
Functional changes (neural efficiency):
When a skill is first learned, more areas of the cortex become active in representing the skill
Like first part of skill learning: expansion/exploration or cognitive stage
Testing many pathways to see what works best
With practice, expert brains become more efficient at processing relevant information
This is reflected in reduced activation of certain brain areas
This indicates specialization of brain pathways (refinement/autonomous stage) so only necessary pathways are needed
Cerebral Cortex and Semantic Memory
Ex. participants touch each finger to thumb in a fixed sequence as quickly and accurately as possible
Improvement rapid at first, then slower rate (power law)
After training → expanded region of motor cortex active during task
Experience-Dependent Plasticity: Structural Changes
Long-term engagement of an area can lead to structural changes the areas of the brain related to that skill
For example…
Musicians → ↑ grey matter volume in auditory/motor areas
Divers → ↑ cortical thickness in areas involving body awareness and motor control
London Taxi Drivers
Receive extensive training to memorize the city’s complex street layout
Can get anywhere from anywhere, have an entire cognitive map of London in their heads
Show larger posterior hippocampi
Size of posterior hippocampus correlates with amount of time spent as a taxi driver
Suggests ongoing plasticity