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Attention • Part 2

Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

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Page 1: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Attention

• Part 2

Page 2: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Early Selection Model (Broadbent, 1958)

input detection recognition

FILTER

Only information that passed the filter received further analysis (e.g. meaning).

Page 3: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Late Selection Theory(Deutsch & Deutsch, Norman)

input detection recognition

FILTER

Page 4: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Early Attenuation Model (Treisman)

input detection recognition

FILTER

Page 5: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Lab: Feature Search

Parallel processing of simple visual features (e.g., color).

Page 6: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Typical Results for “Feature Search”

# of items in display

6 10 20 30

ReactionTime(msec)

“Yes”

“No”

Page 7: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Conjunction Search

• Combination of features (e.g., red AND horizontal)

• Spatial arrangements of features (e.g. black above white)

When targets are defined by:

Page 8: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Lab: Conjunction Search

‘Find the blue square’

Page 9: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Lab: Conjunction Search

Page 10: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Treisman’s Results for “Conjunction Search”

# of items in display

2 4 6 10 20 30

ReactionTime(msec)

“Yes”

“No”

Page 11: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Lab: Voluntary Cueing

Valid Trials70%

Invalid Trials15%

Neutral Trials15%

Page 12: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Voluntary Cueing

250

270

290

310

330

350

Valid Neutral Invalid

• Same result for short and long cue-to-target delays (short ‘green’, long ‘blue’)

Page 13: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Lab: Automatic Cueing

Cued Trials??%

+

Miscued Trials

+

Neutral Trials

+

Page 14: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Automatic Cueing

250

270

290

310

330

350

Cued Neutral Invalid

• For short cue-to-target delay (‘green’), same result as for voluntary cueing (validly cued faster than invalidly cued)

• For long cue-target delays, the reverse pattern (inhibition of return)

+ +

Page 15: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Neurological Deficits in Visuo-spatial attention

• Hemi-spatial Neglect• lesion in right temporo-parietal junction

• Inability to – attend to the left side of visual space, and thus to– be aware of visual stimulus in the left visual field– Represent spatial relations.

Page 16: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further
Page 17: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further
Page 18: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further
Page 19: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Line-bisection task

Page 20: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further
Page 21: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further
Page 22: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

RightLeft

LVF RVF

Page 23: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Righthemisphere

Lefthemisphere

LVF RVF

Page 24: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

To study the neural substrate of visuo-Spatial Attention, we need

• A patient group: – Hemispatial neglect

• A simple method: – Spatial Cueing

• A cognitive theory: – Posner’s three stage model

Page 25: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

• Disengage: – stop attending to what is currently being attended

• Move: – refocus spotlight on new location

• Engage: – begin attending to new stimulus

Page 26: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Spatial Cueing

Cued Trials

+

Miscued Trials

+

Page 27: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Retina

LGN

V1

V4 ParietalCortex

InferotemporalCortex

(Relay Station)

(Detects Edges)

(Color,Form)

(Shape,Object Recognition)

(Location,How to reach oract upon)

Which part of the brain is the source of attention?Where does attention have its effects?

Page 28: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

time

Memory/Attention Task(fMRI / ERP)

Page 29: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Regions of Interest

RVF LVF

Page 30: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further
Page 31: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Stim 1 Stim 2

Single-Unit Recording

“spike” = single neuron’s action potential

(Macaque monkey)

SignalAnalysis

Receptive Field

Page 32: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Attention Effects inSingle Neuron Responses

100 msec

Frequencyofspikes

Attended bar

Unattended bar

(Robert Desimone, NIH)

Page 33: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Retina

LGN

V1

V4 ParietalCortex

InferotemporalCortex

(Relay Station)

(Detects Edges)

(Color,Form)

(Shape,Object Recognition)

(Location,How to reach oract upon)

AttentionEffectsHere

NoAttentionEffectsHere

Page 34: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Early visual processing IS affected by selective attention.

This is a challenge for a pure late selection model.

BUT, it does not mean that late selection is not occurring.

Conclusions from Neuroscientific Evidence:

Page 35: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Automatic vs. Voluntary Priming

+ AA

Warningsignal

Testsignal

neutral

(Posner & Snyder, 1975)

Page 36: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

S KK15%

P PP

S KK

G GG15%

70%

“No need to think of P”

Automatic Priming

“think of P! yeah baby!”

Automatic Priming

Voluntary Priming

Often misleading

G GG70%

Often predictive

Page 37: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Differencebetweenexperimental and neutral conditions

faster

slower

15% primed

70%misled

70%primed

15%misled

Low validity(often misled)

High validity

P -> P

P ->G

P ->G

P ->P

Automatic Priming;Benefit without a cost

Voluntary PrimingBenefit with cost

Page 38: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Automatic vs Voluntary priming (part 2) Neely (1977)

• If you see a body part as a Prime, expect a building part as a target. For example, – Body -> door

• some pairs were semantically related, but unexpected– body -> heart

Page 39: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Priming Results

-80

-60

-40

-20

0

20

40

60

200 700 2000

• Blue: Expected pair– Body -> door– voluntary priming – Evolves with time

• Green: Related but unexpected– Body -> heart– automatic priming, followed

by a cost from voluntary priming Cue-target delay (ms)

Cos

t f

acil

itat

ion

(ms)

Page 40: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Question

• Predict pattern of performance when:– the delay between cue and target is very short, – the cue-target delay is longer

– For automatic priming– For voluntary priming

Page 41: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

1. Selectivity: only aware of a subset of stimuli--selective attention.

2. Capacity Limitations: limited ability to handle different tasks or stimuli at once--divided attention.

3. Sustained mental effort: limited ability to engage in protracted thought, especially on the same subject--vigilance.

3 meanings of the word ‘Attention’

Page 42: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

PSBONKG######

Attentional Blink

You will see a stream of letters rapidly presented in the center Group 1: memorize any vowels Group 2: memorize any vowels and red letters

Page 43: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Target 2

S

N

O

B Target 1 Encoding intoWorking Memory

Page 44: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Attentional Blink: Early or Late Selection?

• Instead of letters, use words.• An initial word establishes context (e.g., milk)• Target 2 is a word that is semantically related to

the context word or not (e.g., sugar, shoes)• When subjects fail to report T2, look at their brain

waves (ERPs) to assess whether the meaning of that target has been processed or not

• N 400 (ERP marker of semantic processing)

Page 45: Attention Part 2. Early Selection Model (Broadbent, 1958) inputdetectionrecognition FI L T E R Only information that passed the filter received further

Spotlight metaphor

- metaphors are not right or wrong, they are useful or not…