Learning Flashcards

(84 cards)

1
Q

What is perceptual learning?

A

An increase in the ability to extract information from the environment as a result of experience and practice with stimulation coming from it

Defined by Eleanor Gibson in 1969.

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2
Q

What does the phrase ‘Practice-makes perfect’ imply in the context of perceptual learning?

A

With practice, individuals can achieve high levels of perceptual expertise in detecting and distinguishing sensory stimulation

Attributed to William James, 1890.

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3
Q

What are the key principles governing perceptual learning?

A
  • Specificity
  • Generalisation
  • Consolidation

These principles help understand how perceptual learning occurs and its effects.

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4
Q

What role do regulatory factors like sleep and attention play in perceptual learning?

A

They are crucial for enhancing and consolidating perceptual learning

Sleep is particularly important for consolidation.

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5
Q

List examples of perceptual learning in the natural world.

A
  • Identifying injury and disease in x-rays and brain scans
  • Bird watching (visual and auditory learning)
  • Categorical discriminations (e.g., faces of different races, color categories)

These examples illustrate how perceptual learning is prevalent in everyday life.

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6
Q

What determines the amount of learning in perceptual tasks?

A

Initial performance levels

The poorer the initial performance, the more learning that occurs.

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7
Q

True or False: Perceptual learning requires error-correcting feedback.

A

False

Improvement can occur even without external error feedback.

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8
Q

What is the significance of sleep in perceptual learning?

A

Sleep is critical for consolidation of perceptual learning

Deprivation of sleep can nullify learning on perceptual tasks.

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9
Q

Fill in the blank: Perceptual learning is often specific to the _______ and _______ used during training.

A

[trained task] and [stimuli]

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10
Q

What are the three potential outcomes of transfer experiments in perceptual learning?

A
  • No transfer of learning
  • Partial transfer of learning
  • Full transfer of learning

These outcomes help assess the generalization of learned skills.

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11
Q

What did Fiorentini & Berardi (1980) demonstrate about perceptual learning?

A

Practice improved grating phase discrimination, but learning did not transfer to gratings rotated by 90 degrees

This shows the specificity of perceptual learning.

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12
Q

What is the relationship between task difficulty and learning transfer?

A

The amount of transfer is determined by the difficulty of the task

Easier tasks tend to show more transfer of learning.

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13
Q

What did Ahissar and Hochstein (1997) find regarding visual search tasks?

A

Full transfer of learning occurred between ‘easy’ initial training and subsequent ‘easy’ transfer tests

No transfer occurred between two difficult tasks.

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14
Q

What are the two models for consolidation during sleep?

A
  • Synaptic Homeostasis Model
  • Reactivation Model

Each model explains different mechanisms by which sleep aids in consolidating learning.

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15
Q

What is ‘task-irrelevant perceptual learning’?

A

Subjects learn to discriminate between stimuli to which they are exposed but upon which they perform no task

Proposed by Watanabe et al. (2001).

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16
Q

Describe the role of top-down attention in perceptual learning.

A

It activates cognitive strategies, voluntarily biasing attention towards important visual features

Essential for producing perceptual learning according to Ahissar and Hochstein.

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17
Q

Describe the role of bottom-up attention in perceptual learning.

A

Involuntary shifts of attention induced by the presentation of a salient feature

Suggests that perceptual learning can occur without top-down attention.

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18
Q

What was found in the study by Frenkel et al. (2006) regarding bottom-up attention?

A

Repeated presentations of grating stimuli resulted in a persistent enhancement of visual evoked potentials in mouse visual cortex

This suggests that bottom-up attention may contribute to perceptual learning.

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19
Q

What is the effect of sleep deprivation on perceptual learning?

A

It nullifies learning on perceptual tasks

Highlighted by studies from Karni et al. and Gais et al.

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20
Q

What is the relationship between the complexity of tasks and the extent of perceptual learning?

A

More perceptual learning occurs on complex tasks

Tasks requiring multiple perceptual dimensions show greater learning.

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21
Q

How long can learned improvements in perceptual tasks be retained?

A

For 2-3 years

This indicates the relatively permanent nature of perceptual learning.

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22
Q

practice on very simple perceptual tasks improve with practice, such as

A
  • vernier discrimination
  • orientation discrimination
  • stereoscopic depth discrimination

in 1970s-80s, improvements in this were attributed to cognitive changes

  • Vernier: display where ask ppts to fixate on centre of screen. Present 2 bars, top and bottom, displaced from each other. Is top bar on left or right of bottom. Find JND
  • Orientation: 2 orientated patterns. Is the one on the right tilted to left or right compared to target. Find minimum orientation to detect a difference (concept of JND)
  • Stereoscopic: centre positioned to front or back
  • all hyperacuity tasks
  • cortical level of brain rather than retina
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23
Q

there is more perceptual learning on complex tasks

A
  • fine & jacobs (2002) compared amount of learning in 16 human studies
  • tasks using stimuli with external noise showed more learning than low level tasks
  • complex tasks that required discriminations along more perceptual dimensions showed more learning

the more complex a task is, the more learning that is involved

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24
Q

amount of learning inversely related to initial performance levels

A
  • fahle & henke-fahle (1996) measured the relationship between subjects initial level of performance on a vernier discrimination task and the amount they learnt of the task
  • the poorer the performance was before training the more they learnt on the task

starting threshold impacts how much you improve

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25
amount of learning inversely related to initial performance levels
* astle et al. (2012) tested whether the same factors that limit performance on a task limit learning on the same task * prior to learning, vernier discrimination performance was either unmatched or equated in 2 different ways * the magnitude of learning was a constant proportion of initial performance levels
26
perceptual learning is specific to the trained task and stimuli
* subjects repeatedly practice and improve their visual performance on a task over several training sessions * after a period of time, the task or stimulus is changed to test for transfer of learning * there are three potential outcomes: no transfer of learning, partial transfer, full transfer
27
perceptual benefits of learning are retained over many years
* with sufficient training, there is very little forgetting of the learned improvements on a visual discrimination task * learned improvement on a figure-ground texture discrimination task were retained for 2-3yrs ## Footnote * % correct and stimulus onset asynchrony: through training, to reach 80% the SOA decreases in terms of milliseconds * test again after 32 months: retaining of learning throughout time, not exactly the same but still close * retained performance
28
sleep has a critical role in the consolidation of learning
* learning is often so fragile immediately after training, it is necessary to allow processing time - period known as consolidation to make it permanent * sleep has a critical role in the consolidation of perceptual learning * depriving subjects of slow-wave sleep and rapid eye movement sleep nulifies learning on perceptual tasks * critical time window for consolidation is less than 30 hours after training on a perceptual task ## Footnote * sleep identified through different levels (cyclic way) * disrupt sleep during REM or slow wave period - retaining of perceptual learning during the way is completely gone: learning vanishes * in order for learning to remain over time, sleep has to happen within 30 hours
29
2 models for consolidation during sleep
1. synaptic homeostasis model - slow-wave sleep scales down strength of all synaptic connections excessively strengthened by learning during wakefulness, leaving only synapses strengthened most by learning after sleep 2. reactivation model - neurons involved in learning during wakefulness are reactivated during sleep to strengthen neural connections
30
the role of attention in perceptual learning
* the role of attention in perceptual learning is not completely understood * there is controversy over whether attention to the feature to be learned is necessary for perceptual learning to occur * to understand the role of attention in perceptual learning, we have to distinguish between: perceptual learning with top-down attention; perceptual learning with bottom-up attention; perceptual learning as a result of exposure to a stimulus
31
perceptual learning with top-down attention
* practicing one task did not improve performance in the other task, event though both task used exactly the same visual stimuli * top down attention to the features that are relevant for performing the task appear essential for producing perceptual learning ## Footnote * grid, target stimulus with different orientation * is there a target in that grid? * long edge horizontal or vertical? * told which task to perform * train on local but switch to global: no transfer, top-down attention
32
perceptual learning with bottom-up attention
* recorded VEPs in visual cortex while an awake mouse passively viewed a flickering grating over consecutive days * repeated presentations of grating stimuli of a single orientation resulted in a persistent enhancement of visual evoked potentials in mouse cortex * response potentiations developed gradually over the course of several training sessions and was specific to the orientation of the test stimulus * these results dont dupport the hypothesis that top-down attention is essential for perceptual learning, but suggest that bottom up attention may have a role to play
33
perceptual learning after passive exposure to a stimulus
1. test stage: 5% or 10% coherent motion in 1 of 8 different directions 2. exposure stage: repeated presentation of 5% coherent motion direction, while performing a letter identification task centrally to engage subjects' attention 3. same as number 1 * exposure improved the accuracy with which subjects identified the direction of exposed motion when it was above the threshold of visibility * the authors claim that a frequently presented visual feature sensitises the visual system for learning, even when the stimulus is not relevant or salient * this work led to the concept of task irrelevant perceptual learning
34
What is the aim of the lecture on perceptual learning?
To understand the neural mechanisms of perceptual learning.
35
What are the main learning objectives of this lecture?
1. Understand how visual information is represented in the visual cortex and read-out to form decisions. 2. Evaluate evidence that perceptual learning changes visual representation in the cortex. 3. Evaluate evidence that perceptual learning changes the way visual information is read-out to form decisions.
36
How is visual input represented in the brain?
Visual input is represented at different levels of the cortical visual hierarchy.
37
What brain areas decode neural signals in the visual cortex to make decisions?
Lateral intraparietal (LIP), frontal eye fields (FEF), and prefrontal cortex (area 46)
38
What does the typical neural model of visual discrimination involve?
A population of neurons encodes the visual input and projects onto a single output, which determines behavior
39
How do neurons represent visual input?
by the pattern of firing across a population of neurons
40
What does perceptual learning potentially change in the brain?
Either the representation of visual stimuli in the visual cortex or the read-out by decision-making brain areas
41
What is an alternative explanation for the specificity of perceptual learning?
It could indicate changes in how visual information is read-out rather than how it is represented
42
How can perceptual learning change neural representations?
By altering individual neuron responses, tuning preferences, tuning function width, slope, or response amplitude
43
What did Schoups et al. (2001) find about perceptual learning?
Improvement in orientation discrimination correlated with subtle changes in orientation tuning curves in primary visual cortex
44
What did Ghose et al. (2002) conclude about perceptual learning?
There were no significant changes in tuning curves in V1 or V2 despite improved discrimination performance
45
What did Yang & Maunsell (2004) find regarding extrastriate cortex (V4)?
Neurons in V4 at trained locations had stronger responses and narrower tuning curves.
46
What role do correlated neuronal responses play in perceptual learning?
Changes in correlated responses among neurons may enhance information encoding
47
What did Gu et al. (2011) discover about perceptual learning in the MST area?
Training weakened correlated responses in MST neurons but did not fully account for perceptual learning.
48
How does perceptual learning optimise read-out?
By giving more weight to neurons providing the most reliable information
49
What did Law & Gold (2008) demonstrate about perceptual learning?
LIP neurons became more responsive to visual motion, while MT neurons remained stable, suggesting learning affects read-out rather than representation
50
How does learning a new task affect previously learned tasks?
Training on one task can alter the causal contribution of a brain area to another related task without changing visual representation.
51
What did Chowdhury & DeAngelis (2009) show regarding task learning?
After training on fine depth discrimination, inactivating MT no longer affected coarse or fine depth discrimination but abolished direction discrimination.
52
What is the overall conclusion regarding perceptual learning?
Learning changes how visual information is read-out rather than how it is represented in the visual cortex, explaining perceptual improvements
53
54
the visual field range
* the full horizontal range >180 degrees * horizontal range in one eye is 160 degrees * vertical range in 135 degrees
55
mapping the visual field
* visual field test uses static or kinetic perimetry to detect dysfunction in central and peripheral vision caused by various medical conditions * present static light target of different intensity at different intensity at different positions in visual field (static perimetry) or moving light towards centre of vision from periphery (kinetic perimetry) * determine threshold for detecting light at different positions or visualfield sensitivity boundaries
56
lesion of right optic nerve causes
total loss of vision in right eye
57
bilateral hemianopia
lesion of optic chiasm causes loss of vision in temporal halves of both visual fields
58
contraletral hemianopia
lesion of optic tract causes complete loss of vision in opposite half of visual field
59
upper contraleral quadratic anopia
lesion of optic radiation (Meyer's loop) causes loss of vision in upper quadrant of opposite half of visual field of both eyes
60
partial lesions of visual cortex lead to
partial visual field deficits on opposite
61
damage to primary visual cortex can cause cortical blindness
* lesions that destroy V1 cause dense cortical blindness by depriving cortex of bottom-up sensory information * BUT cortical blind individuals dont lose all visual abilities within their blind field * some patients have residual sensitivity without consciousness = blindsight * residual visual functions vary considerably among cortically blind patients, most likely due to amount and location of damage * despite residual visual processing abilities in blind field, cortically blind patients still severely impaired at everyday visual functions such as reading and navigating in unfamiliar environments * these visual impairments are primarily responsinle for the significant decrease in quality of life reported
62
prosopagnosia
* cannot identify faces, even familiar ones, but can recognise a face as a face * acquired and congenital forms exist * lesion site is fusiform gyrus, predominantly in right hemisphere * no therapies have demonstrated lasting real-world improvements
63
cerebral akinetopisa
* lose ability to perceived visual motion following lesion to extrastriate cortex * V5 or MT+ * motion blindness from damage to dorsal stream
64
visual agnosia
impaired ability to visually recognised objects (apperceptive and associative) caused by damage to ventral stream
65
cerebral achromotopsia
colour blindness caused by damage to cortex in ventral stream
66
balints syndrome
* inability to perceive the visual field as a whole * difficulty in fixating the eyes * inability to move hand towards objects under visual guidance
67
phase 1 after brain injury
* primary insult or injury, typically including: * direct tissue damage * impaired cerebral blood flow * impaired metabolic activity * leading to edemea dormation * cytoarchitecture changes
68
phase 2 after brian injury
* secondary injury, setting in motion a cascade of pathophysiological processes, including * loss of cell homeostasis * calcium and sodium ion release * neurotransmitter release * excitoxicity * breakdown of blood-brain barrier
69
2 stage process to recovery from acquired brain damage
1. spontaneous recovery 2. training-induced recovery
70
spontaneous recovery | plasticity after acquired visual brain injury
* recovery that occurs in the absence of training or rehab & can be "true" recovery or compensation * injury resolution within 3-6 months after injury * diachisis reversal * changes in kinematics * cortical reorganisation
71
diachisis reversal
inflammation, blood flow, metabolic changes begin to subside
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changes in kinematics
compensatory eye movements towards affected hemifield
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cortical reorganisation
within-area and between-area rewiring of brain circuits
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training induced recovery | plasticity after acquired visual brain injury
* recovery that occurs as a result of training and rehabilitation and is considered compensation * compensatory plasticity from 6 months after injury * recruitment * retraining
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recruitment | training induced recovery
brain areas not involved pre-injury contribute to function post-injury
76
retraining | training-induced recovery
training of residual brain areas, cortical reorganisation, and compensation
77
spontaneous plasticity after damage to primary visual cortex
* damage to V1 (like damage to any part of the brain) is usually followed by some amount of spontaneous recovery * in visual field deficits, 50-60% probability of spontaneous visual improvements in first month after lesion, but little improvement after 3 months and none after 6 months * most of the spontaneous recovery is thought to be due to reduction in inflammation and edema around the lesion and reactivation of partially damaged tissue near the lesion * patients compensate for vision loss with gaze strategies that are both normal and abnormal and biased toward the affected hemi-field
78
training-induced plasticity after visual brain damage
* visual restoration therapy (VRT) * requires ppts to detect bright light on monitor in one of 500 locations on border between blind and sighted fields * showed that detection accuracy improves with training and reduces size of blind field and increases size of visual field (Kasten et al., 1998) * failed to be replicated - patients trained on the VRT detection task learned to make small rapid eye movements towards the targets to be detected (Reihnard et al., 2005) * more recent work - adults with stroke-induced damage to V1 learned to discriminate global direction of random dot motion coherence (Huxlin et al., 2009) * initially, they could not detect visual stimuli in blind field and were unable to discriminate global motion direction * after training at single location, recovered ability to discriminate global motion and visual recovery generalised to contrast sensitivity and motion
79
potential mechanisms of training-induced visual recovery after V1 damage
* training induces plasticity in spared cortex proximal to lesion * training strengthens neural pathways that bypass V1 and project to extrastriate cortex * training recruits or inhibits visual areas in the intact hemisphere
80
responsiveness of spared islands of cortex within V1
* spared of islands of cortex in V1 could mediate blindsight * individual variability on how visual input drives spared cortex
81
training induces plasticity in spared cortex proximal to lesion
* lesion in left hemisphere * present flashing checkboards: expanding and contracting * some part that was still spared * trained to detect some changes in luminance * over sessions, ability to correctly detect improves * look at islands that are still spared to improve with the left hemisphere deficits
82
visual discrimination training recovers visual functions in chronic cortically-blind fields | Barbot et al. (2021)
* train the participant until they reach top performance at that specific location of the visual field, and then they move the training area further into the scotoma * when we compare the intact hemifield in grey and the damaged before and after training the performance in the latter condition, following training, is largely the same as the intact hemifield * true also for motion discrimination tasks * almost all show improvement at the edges of the scotoma, even though some subjects instead show blue colours, which means a loss of sensitivity ## Footnote Again, as a reminder and to ensure that data and results are valid, it’s important to note that measures were made in the lab using eye trackers to control for eye movements, so there’s no change in ocular motor strategy that underlie these results.
83
training strengthes neural pathways that bypass V1 and project to extrastriate cortex
* Huxlin et al. (2009) studied one patient (VC3) who had a complete V1 lesion * before training, VC3 could point to and detect, but not discriminate, visual motion in the upper right quadrant of his blind field * over 80 training sessions, they recover visual motion discrimination in his blind field, suggesting that recovery did not involve residual V1 * training probably recruited functions in pathways that bypass V1 and project to extrastriate cortex
84
training recruits or inhibits visual areas in the intact hemisphere
* some ev that visual areas in intact brain hemisphere have a role in residual and trained vision in blind field (Henriksson et al., 2007) * 61yo patient with homonymous hemianopia trained on flicker detection in blind hemifield * extensive damage in occipital lobe, including V1 * training started 22mths after stroke, twice weekly for 2yrs * at the start of training MEG field patterns from blind hemifield abnormal, but very similar to the unaffected hemifield by end of training * fMRI used to localise where in cortex changes have taken place * after training, visual info from both hemifields was processed mainly in the intact hemisphere * activity remapped to intact hemisphere in V5, V1, V2, V3 and V3a * images show axial and sagittal slices * ipsilateral representation of the blind hemifield occurs across several visual areas, including V1 * intensive training can induce cortical re-organisation across cerebral hemisphere