Weeks 2–5 asked how organisms choose. Week 6 asks how organisms learn from experience in the first place—before they can form the values and predictions that drive decision-making. Habituation, sensitization, and perceptual learning are the brain's most fundamental mechanisms for filtering what deserves attention.
Habituation is a decrease in the strength or occurrence of a behavior after repeated exposure to the stimulus that produces it. It is the most widespread form of learning—observed in protozoa, sea slugs, and humans alike.
Classic paradigms: acoustic startle reflex in rats (repeated loud noise → declining jump amplitude); orienting response in infants (fixation time decreases with each re-presentation).
Six Key Properties — Know All of Them
| Property | What it means / exam implication |
|---|---|
| Stimulus Specificity | Habituation to stimulus A does not transfer to stimulus B, even in the same sensory modality. Rules out sensory fatigue. |
| Dishabituation | A novel or arousing stimulus restores the habituated response. Rules out motor exhaustion. |
| Spontaneous Recovery | Habituated response returns after a stimulus-free rest period. Habituation is not permanent. |
| Massed vs. Spaced | Massed → faster but less durable. Spaced → slower but longer-lasting. Parallels the spacing effect in explicit memory. |
| Below-Zero Habituation | Learning continues even after behavioral response reaches zero, revealed by delayed spontaneous recovery. This is latent learning. |
| Rate Depends on Arousal | Less arousing stimuli habituate more rapidly. Highly arousing stimuli may produce sensitization instead. |
Sensitization is the opposite of habituation: experiences with an arousing stimulus lead to stronger responses to subsequent stimuli. Unlike habituation, sensitization is NOT stimulus-specific—it broadly amplifies reactivity.
Classic example: Rats habituate to a repeated loud tone. If a subset then receives a foot shock, their startle response to the same tone jumps above baseline. The shock sensitized them.
Human measure: Skin conductance response (SCR / electrodermal activity). Underlies stress monitoring and classic lie detector tests.
Habituation vs. Sensitization: Key Contrast
| Feature | Habituation | Sensitization |
|---|---|---|
| Response direction | Decreases | Increases |
| Stimulus specificity | YES (specific) | NO (general) |
| Synaptic mechanism (Aplysia) | Homosynaptic depression (less glutamate) | Heterosynaptic facilitation (more glutamate via serotonin) |
| Arousal required? | No (works for low-arousal stimuli) | Yes (requires arousing stimulus) |
| Exposures needed? | Many repetitions | Sometimes a single intense event |
Proposed by Groves & Thompson (1970). Every stimulus presentation simultaneously activates two independent processes:
- Habituation process: Weakens the stimulus-response (S-R) connection through repeated activation.
- Sensitization process: Activates a "state system" that potentiates global reactivity.
- Observed behavior = NET result of both. Boring/non-arousing → habituation dominates. Highly arousing → sensitization dominates.
Eric Kandel (Nobel Prize, 2000) used Aplysia californica (~20,000 neurons; individually identifiable) to find the first cellular mechanisms of habituation and sensitization.
| Feature | Habituation | Sensitization |
|---|---|---|
| Type | Homosynaptic | Heterosynaptic |
| Mechanism | Repeated activation of S → less glutamate released (synaptic depression) | Tail shock → interneuron IN → serotonin onto S terminals → more glutamate vesicles available |
| Scope | Only the S–M synapse (activated synapse) | Multiple synapses (S, U, others NOT activated by the shock) |
| Long-term structural change | Elimination (pruning) of S–M synapses | Formation of additional synaptic terminals (growth) |
Heterosynaptic = sensitization = affects all synapses via serotonin interneuron = mirrors generality of sensitization.
Perceptual learning = repeated experience with stimuli makes them easier to distinguish. Unlike sensitization (amplifies responses), it specifically improves discriminability.
Real-world examples: chicken sexers (1 per half-second), dermatologists classifying rashes, wine tasters, musicians distinguishing instrument timbres.
| Route | Description | Key Feature |
|---|---|---|
| Mere Exposure Learning | Passive, incidental exposure improves discrimination without feedback. Gibson & Walk (1956) rat experiment. | Latent learning — revealed only when tested |
| Discrimination Training | Active training with feedback. Produces larger and faster perceptual changes and bigger cortical reorganization. | Largest cortical changes |
Three Theoretical Models
- Dual Process (Groves & Thompson): Shared features habituate more (seen twice as often); distinctive features remain salient.
- Comparator Model (Sokolov, Wagner): Brain stores representations and compares incoming stimuli. Orienting response on mismatch. Habituation = better representation = less mismatch.
- Differentiation Theory (E. Gibson): Representations start vague and gain detail with repeated exposure.
Priming: Prior exposure affects later responses without conscious awareness. Classic demo: word-stem completion ("CHI__" → "CHISEL" more likely if CHISEL was previously seen, even without conscious recall). Animal example: blue jays detecting camouflaged moths more accurately after recent exposure.
Familiarity: William James defined it as a "sense of sameness"—the perception of similarity when an event is repeated. Basis of recognition memory. Measured in rats and monkeys via the novel object recognition task.
Tolman & Honzik (1930): Rats allowed to freely explore a maze (no food) for 10 days performed as well as reward-trained rats when food was introduced on day 11. They had formed a cognitive map. Key insight: spatial learning is latent—occurs without behavioral evidence until a test demands it.
Place Cells (John O'Keefe, Nobel Prize): Hippocampal neurons that fire only when a rat is at a specific location (their place field). Place cells use visual landmarks to define location.
- If maze AND landmark are rotated together → place fields rotate with them.
- If only the landmark is repositioned → place fields follow the landmark.
- Place fields shrink with repeated exploration — more precise spatial representation.
- London cab drivers (memorize 25,000 streets for "the Knowledge") have significantly larger hippocampi, correlating with years of experience.
Receptive fields: Cortical neurons respond to specific stimulus features. In somatosensory cortex → body location (homunculus). In auditory cortex → sound frequency. Not proportional to body-part size—reflects use and sensitivity (thumbs and lips are over-represented).
- Repeated experience expands the cortical region dedicated to the trained stimulus.
- 2 hours of repeated fingertip stimulation → expanded somatosensory cortex representation AND improved two-point discrimination (fMRI + behavioral).
- Kittens with one eye sewn shut lose cortical representation for that eye permanently (developmental plasticity).
- Blind individuals show visual cortex activation during Braille reading—cross-modal plasticity.
Repeated coactivation → LTP → stable representation → pattern completion: a partial version of a familiar stimulus activates the full stored pattern. This explains priming.
| Condition | Mechanism | Treatment / Relevance |
|---|---|---|
| Learned Non-Use (post-stroke) | Stroke damages sensory cortex → patient stops using affected limb (habituation to non-functional limb). Motor control is intact. | Constraint-Induced Movement Therapy (CIMT): bind the good arm → forced use = dishabituation + cortical reorganization in adjacent areas. |
| Cochlear Implants | Electrical stimulation produces "virtual" speech very different from natural sound. Users must learn to discriminate novel stimuli. | Perceptual learning curve: rapid at first, gradual over years. Most effective in young children and recently deafened adults. Mechanism: cortical plasticity in auditory cortex. |
Key Terms — 25 Flashcards
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Practice Multiple Choice — 20 Questions
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Big Picture Synthesis
How the week's concepts connect across levels of analysis and to the course arc.
Levels of Analysis
- Distinguish habituation, sensitization, dishabituation, and spontaneous recovery from scenario descriptions
- Apply homosynaptic vs. heterosynaptic to Aplysia circuits and link to behavioral specificity
- Identify the mechanism behind an experimental result (synaptic depression? cortical plasticity? Hebbian?)
- Distinguish mere exposure vs. discrimination training and which produces larger cortical changes
- Interpret place cell data—what happens when landmarks move
- Explain clinical phenomena (learned non-use, cochlear implants) using the week's concepts
- Connect this week's content back to prediction error and the RL arc
- Comparator model = prediction error: respond to mismatch between stimulus and stored representation
- Dual process theory mirrors RL: parallel computation of S-R suppression and arousal amplification
- Place cells = state representation for V(s) in model-based RL (Week 8)
- Latent learning = policy-free value learning: knowledge acquired without behavioral expression
- Hebbian LTP is the synaptic substrate for many forms of associative learning (Weeks 7–8)
- Perceptual learning specificity parallels the stimulus generalization problem in RL