By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

79
By Mari Riess Jones The Dynamics of The Dynamics of Attending Attending and and Scene Analysis Scene Analysis

Transcript of By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Page 1: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

By

Mari Riess Jones

The Dynamics of The Dynamics of Attending Attending andand Scene AnalysisScene Analysis

Page 2: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Thanks to Thanks to

Ralph BarnesRalph Barnes

Devin McAuleyDevin McAuley

Heather MoynihanHeather Moynihan

Noah MacKenzieNoah MacKenzie

Amandine PenelAmandine Penel

Jennifer PuenteJennifer Puente

Nate VaughanNate Vaughan

Special Thanks Special Thanks to to

Edward Edward LargeLarge

Page 3: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

I. Scene Analysis: A Neo Gestalt view

II. Scene Analysis: A dynamic perspective

III. The Changing Scene: Tracking in real time

OverviewOverview

Page 4: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

I. Scene Analysis:I. Scene Analysis: A Neo Gestalt view A Neo Gestalt view

Page 5: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

What’s a Scene?What’s a Scene?

The term scenescene is taken from vision. Two cases are most common:

1. A stationary viewer

2. A moving viewer

The scene is the static visual layout.The scene is the static visual layout.

Page 6: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Sound ScenesSound Scenes

A common assumption:

We use the proximal sound stimulus to recover the location and/or identity of a distal, vibrating, object within a scene.

This is the source identity principle.

Page 7: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Bregman’s TheoryBregman’s Theory

of of Scene AnalysisScene AnalysisBregman builds on this idea:Bregman builds on this idea:

Goal of auditory perception… Goal of auditory perception… is identification of one is identification of one or more sources of a or more sources of a proximal mixture of sounds. proximal mixture of sounds.

If an unfolding sound pattern is perceived as a structurally intact , i.e. as one streamone stream,then it must come from ONE ONE source.source.

Page 8: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Other patterns? Other patterns?

If a pattern is perceived to break up, i.e. form N different subjective units, streamsstreams, ,

then, it must …

come from N separate sources.

Patterns NOT perceived as intact….

Page 9: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Time

high

low

Another source?

Example: A sound Example: A sound patternpattern

frequencyA stream ?One source?

Page 10: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

The Big QuestionThe Big Question

What makes a pattern seem seem structurally intact?

Or… What determines a stream?stream?

Page 11: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Bregman’s AnswerBregman’s Answer

Involves a two stage theory

in which

Neo Gestalt principles are critical.

Page 12: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

The Neo Gestalt ViewThe Neo Gestalt View

I. Primitive processes Innate, automatic, effortless, Determine coherent perceptual groups at fast rates.

II. Schema driven processes Learned, voluntary, effortful, Determine attention to groupings at slow rates.

Two Stages

Page 13: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Auditory Scene PerceptionAuditory Scene Perception Stage I: Primitive Processes Operate on Gestalt grouping principles:

proximity in frequency and time; similarity (e.g., timbre); continuity; exclusive allocation… and so forth

These are domain general (I.e. speech, music, natural environs,etc.)

Page 14: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Proximity vs ContinuityProximity vs Continuity

Tougas and Bregman (1985)

In a series of famous studies pitted proximityproximity against continuity. continuity.

Goal: To assess which principle dominated, and to dispute a trajectory explanation.

Bouncing versus Crossing trajectories

Page 15: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Time in seconds

Possible Percepts

Page 16: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

ConclusionConclusion

Proximity in frequency dominates

People hear bouncing patterns

Page 17: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Rhythm PerceptionRhythm Perception

Speeding up a sequence can break it , perceptually, into interleaved interleaved streams streams

This changes its perceived This changes its perceived rhythm! rhythm!

A stream usually conveys a rhythmrhythm

Page 18: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

RhythmRhythm

is perceived to have a ‘is perceived to have a ‘galloping galloping ‘‘rhythmrhythm

This slow melody…This slow melody…

Time

Rhythm perception… depends on the relationshiprelationship of frequency change (f ) to time change (t).

Hi Hi frequencyfrequency

Lo Lo frequencyfrequency

f

t 2 t

Page 19: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

But… That Rhythm But… That Rhythm DisappearsDisappears

In a In a fasterfaster melody with the same tones. melody with the same tones.

Now we hear two melodies (streams) each with an isochronousisochronous rhythmrhythm..

Page 20: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

A Neo Gestalt A Neo Gestalt ExplanationExplanation

Builds on Gestalt proximity:

1.1. Temporal proximityTemporal proximity is heightened at fast rates.

2. But frequency proximity frequency proximity dominates.

3.3. Two streamsTwo streams form based on pitch proximity: A high tone stream and a low tone stream.

Page 21: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

II.II. Scene Analysis:Scene Analysis:A Dynamic PerspectiveA Dynamic Perspective

Page 22: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Auditory PatternsAuditory Patterns

Most of our environment comprises

sources that turn on and off and

modulate over time to project pattern

structure that is….

motion-like and rhythmicmotion-like and rhythmic

Page 23: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Important Pattern Properties Important Pattern Properties

1. Motionlike properties: Rates of change.

[ e.g., f/ t ]

2. Rhythmic properties: Relative timing.

[e.g., ti/tk ]

Page 24: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Motionlike TrajectoriesMotionlike Trajectories

Pitch VelocityPitch Velocity: f / t

In 1976, I proposed that the rate-of-change of frequency (log scale) may be perceived as a sort of velocitylocity. .

Page 25: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Time

high

low

Determinants of Pitch Determinants of Pitch Velocity Velocity

frequency

A sudden increase in rate-of-change in an isochronous rhythm is perturbing.

f

t

f/ t

Page 26: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Motionlike Trajectory Motionlike Trajectory limits on pitch velocity?limits on pitch velocity?

f log

FAST t Slow

Intact Serial Percepts

Vel

ocity

Lim

it

(Jones, 1976)

RATE

SMALL

LARGE

Stimulus patterns

streamed

Page 27: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Rhythmic Properties: Rhythmic Properties: Relative TimingRelative Timing

flog

FAST t =IOI SLOW

Lim

it

RATE

Slower patterns

Page 28: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Alternative View: Alternative View: A focus on timeA focus on time

How do rhythmic properties of a pattern affect real time responding to it?

In the remainder of this talk, I address this question.

Page 29: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

General AssumptionsGeneral Assumptions

Connecting through time Connecting through time

Pattern timing determines how living Pattern timing determines how living things things connect connect with a changing scene. with a changing scene.

Living thingsLiving things

Animate creatures possess Animate creatures possess internal internal periodicitiesperiodicities that can that can

synchronize to patterns. synchronize to patterns.

EEnvironment nvironment

Scenes often project dynamic patterns Scenes often project dynamic patterns with with relative timing that is relative timing that is quasi- quasi- periodicperiodic. .

Page 30: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Great Gray OwlGreat Gray Owl

Horned Horned LarkLark

CardinalCardinal

t = IOI = 700 t = IOI = 700 msms

Some quasi-periodic patternsSome quasi-periodic patterns

Page 31: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Internal Periodicities: Internal Periodicities: Biological Oscillations Biological Oscillations

Most studied are circadian Most studied are circadian rhythms; oscillatory periods of ca. rhythms; oscillatory periods of ca. 24 hours. 24 hours.

Many internal periodicities exist; Many internal periodicities exist; periods of 1 periods of 1 ms, several minutes, years !. ms, several minutes, years !.

Page 32: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

ConnectingConnecting

“How do internal oscillations of an organism connect with pattern timing? “

One answer: By One answer: By synchronizing. synchronizing.

More precisely: By entrainmentMore precisely: By entrainment

Page 33: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Biological EntrainmentBiological Entrainment

Pittendrigh & DaanPittendrigh & Daan (1976) . (1976) . Circadian rhythms of 24 Circadian rhythms of 24 hours hours synchronize to synchronize to light/dark cycles. light/dark cycles.

Daan et al. Daan et al. (2001) recently (2001) recently updated updated this two oscillator this two oscillator model. model.

Page 34: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

SummeSummerr

WinterWinter

From Daan et al. J.Biological Rhythms (2001)

Example: Two Entraining OscillationsExample: Two Entraining Oscillations

M Phase locked

E Phase locked

Page 35: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Shorter Periods?Shorter Periods?

In speciesIn species

with refined use of fast sound with refined use of fast sound patterns,patterns,

Can we postulate,Can we postulate,

internal oscillations with periods internal oscillations with periods lessless than the circadian than the circadian period ?period ?

Page 36: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Generalizing…..Generalizing…..

Long Long natural natural periodsperiods

Respond to Respond to light light changes changes

Most Biological Most Biological

OscillatorsOscillators

Alternatively Alternatively

Other Other OscillatorsOscillators

ShortShort natural periods natural periods

Respond to Respond to soundsound changeschanges

Page 37: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Background:Background: Rhythmic (periodic) ExpectanciesRhythmic (periodic) Expectancies

Quasi-periodicities inQuasi-periodicities in

Rhythmical sound patternsRhythmical sound patterns

Induce Induce Periodic expectanciesPeriodic expectancies

Quasi-periodicities inQuasi-periodicities in

Rhythmical sound patternsRhythmical sound patterns

Induce Induce Periodic expectanciesPeriodic expectancies

Perhaps such expectancies reflect Perhaps such expectancies reflect entrainments entrainments to to patterns of stimulus IOIs?patterns of stimulus IOIs?

Page 38: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Back to Synchrony: Back to Synchrony: AA simple premise simple premise

When we attend , When we attend , an internal activity is an internal activity is elicited … elicited … that co-occurs that co-occurs with the attended object. with the attended object.

This activity involves This activity involves Internal oscillations Internal oscillations

(Jones, 1976). (Jones, 1976).

Page 39: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Where elements appear… then disappear

Attending to Dynamic Attending to Dynamic Patterns Patterns

Time Time

Attention must occur in synchrony with elements.

Page 40: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Dynamic AttendingDynamic Attending

Selective attending in time is Selective attending in time is pacedpaced by stimulus timing. by stimulus timing.

Postulates that :Postulates that :

Attentional focus in time becomes Attentional focus in time becomes phase-locked phase-locked to elements. to elements.

Page 41: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

III. The Changing Scene:III. The Changing Scene:Tracking sounds in real Tracking sounds in real

timetime

Page 42: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Attending oscillates in Attending oscillates in timetime

Resources are periodically distributed as internal oscillationsinternal oscillations. .

Time Pulses of Pulses of attention attention energyenergy

Inter-onset-interval, IOI

Page 43: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Expected point in time

PhasePeriod

Formalized as an Oscillator Formalized as an Oscillator ModelModel :

by by Ed Large Ed Large (Large & Jones, 1999)(Large & Jones, 1999)

Stimulus timing paces the oscillator. Oscillator period and phase determine this entrainment .

Periodic Periodic ExpectanciesExpectancies

Stimulus IOI

Page 44: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Phase, iPeriod, Pi

Tones, i

Period and Phase Period and Phase change: change: They They draw draw attending rhythms attending rhythms to “fit” a time to “fit” a time pattern. pattern.

Period changes

Phase changes

The adaptiveadaptive oscillator

Page 45: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

The entrained oscillator gravitates to an attractor state of:

1. Phase Synchrony:1. Phase Synchrony: A zero time difference between an sound onset and a pulse peak. 2. Period matching:2. Period matching: A zero time difference between an IOI and oscillator period (limit cycle).

A simple dynamical system.

Page 46: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Relative Phase, Relative Phase, i i

Gives observed - expected times

ii is the order variable in this system. It summarizes the state of the system at any instant i.

i+1 i+1 = = ii + IOI + IOIi+1i+1/P/Pii - - F(F(ii))

The coupling term, F, here is sinusoidal: F(F()= {1/2)= {1/2}sin 2}sin 2 => =>

Page 47: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

-

Phase Attractor: Synchrony

-.25 .25

Relative Phase,

i

Phase Response Curve, PRC

-0.2

-0.15

-0.1

-0.05

0

0.05

0.1

0.15

0.2

-0.5 -0.25 0 0.25 0.5

Ph

ase C

orr

ecti

on

,

Entrainment Region

{ { = = 1.0 }1.0 }

Theoretical

Phase Attractor: synchrony

-.25 .25

Page 48: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

What does this approach What does this approach purchase purchase

??

A few experimentsA few experiments….….

Page 49: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Preview: Preview: Our Experimental Our Experimental

DesignsDesigns Will involve a context rhythm, given by tones:

Followed by a comparison, C, (of some sort)

Time Judgment

Comparison IOI Pitch Judgment

Comparison tone

C

Page 50: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Time Judgment TasksTime Judgment Tasks RationaleRationale

If relative timing in sound arrays entrains attending,

then the context rhythm should

Shape temporal expectancies

Affect time judgments.

Page 51: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Example Study:Example Study:

Judgment TaskJudgment Task: Is a comparison time interval “shorter”, “same” or “ longer” ?

““Ignore context IOIs“Ignore context IOIs“

Context IOI

Standard IOI

Comparison IOI

Context IOIs are 600 ms. This rhythm should synchronize attending.

+/-T

Page 52: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Standard Ending Varies:Standard Ending Varies:

Expected Standard Ending: = 600 ms Unexpected Standard Endings:

Early = 579 ms

Late = 621 ms

Very Early = 524 ms

Very Late = 676 ms

23A comparison IOI is always yoked to standard IOI

Page 53: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

STANDARD IOI

ExpectedEnding

ExpectedEnding:

“Same”

Phase

COMPARISON IOI

Period

Modeling Oscillatory Attending

Context IOIs

600 600 msms

600600

When a standard ends as expected, When a standard ends as expected, the oscillator’s period is the oscillator’s period is accurately preserved accurately preserved

….as a memory of the standard ….as a memory of the standard IOI.IOI.

Page 54: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

The Reason: The Reason: The Attentional The Attentional PulsePulse

Pulse location depends on rhythmic context

Expected time

15

Pulse Pulse locationlocation

Page 55: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Very Early Expected Very Late

Standard Ending Time

PC

One Prediction:

A quadratic accuracy Expectancy ProfileExpectancy Profile:

Attentional Attentional PulsePulse

Page 56: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Predicted and ObservedPredicted and ObservedExpectancy Profiles Expectancy Profiles (Large & Jones 1999)(Large & Jones 1999)

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Very Early Early Expected Late Very Late

Standard Ending Time

PC

PredictedObserved

P < .01

Page 57: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Subsequent Subsequent ExperimentsExperiments

Over a dozen experiments later (e.g., Barnes & Jones, 2000; McAuley & Jones, 2002) We Find:

• The profile vanishes with no context; sharpens with longer sequences .

• Holds for different rates.

• Reveals harmonic scaling of timing.

Page 58: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Different Induction Different Induction RatesRates

Three conditions: different induction rates.

Condition Condition Induction IOIs Standard Induction IOIs Standard durationsdurations

1. 300 ms 300 ms 524, 600, 676 ms

2. 500 ms 500 ms 524, 600, 676 ms

3. 600 ms 600 ms 524, 600, 676 ms

Isochronous sequencesIsochronous sequences

This task required same vs different duration judgments

Page 59: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Observed Expectancy Profiles Observed Expectancy Profiles Three Three

Time Judgment Conditions Time Judgment Conditions

0.4

0.5

0.6

0.7

0.8

0.9

1

524 600 676

Duration of Standard

Ag

300

500600

Page 60: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Conclude Conclude Back to Relative timing

1. Ratios Ratios of induction IOIsinduction IOIs to expected expected standardsstandards seem influential.

2. 2. Harmonic ratiosHarmonic ratios of 1:1 and 1:2 yield different profiles than the 500 ms with a more complex ratio.

Page 61: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Pitch JudgmentsPitch Judgments

We generalized this approach to attending to tone frequency.

Does rhythmic context affect pitch judgments?

Page 62: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

StandarStandard d pitchpitch

ComparisoComparison n pitch pitch

TaskTask: Is a comparison pitch: “same”, “higher”, ”lower” than a

standard pitch?

““Ignore distracting Ignore distracting pitches!”pitches!” “higher”

same”

“lower”

A Pitch Judgment Task A Pitch Judgment Task

Critical IOICritical IOI

21

Independent Variable: Critical IOI

Page 63: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

RationaleRationale

In a rhythmic context, In a rhythmic context, attending is paced in time. attending is paced in time.

Pitch judgments will be best Pitch judgments will be best for for temporally expectedtemporally expected tones: tones: When critical IOI = context IOI.When critical IOI = context IOI.

Page 64: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Very Early Expected Very Late

Onset Time of Comparison

PC

Similar Predictions

AA quadratic expectancyquadratic expectancy profile

Attentional Pulse

Page 65: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Experiment 1: Expectancy Profile

0.5

0.55

0.6

0.65

0.7

0.75

0.8

Very Early Early On Time Late Very Late

Onset Time of Comparison

Prop

ortio

n Cor

rect

P<.005

Page 66: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Related ExperimentsRelated Experiments

Found a:

flattened expectancy profile

with irregular context timing

Page 67: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Recent findingsRecent findings

Suggest the importance of Suggest the importance of higher-order time higher-order time structurestructure … …

In focal attending over time In focal attending over time levels levels

Page 68: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

An Accent Rhythm An Accent Rhythm

21

Accent Timing

Accented Tones

Higher time level : 4 IOIs

Lower time level: IOI

Page 69: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Accent Rhythm is VariedAccent Rhythm is Varied

21

RegulaRegularr

IrregularIrregular

Accented Tones

Page 70: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Standard Standard pitch pitch

Comparison Comparison pitchpitch

Same Pitch Judgment Same Pitch Judgment TaskTask

Critical IOI is Varied Critical IOI is Varied

21

Page 71: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Two Oscillators?Two Oscillators?

Remember those two circadian Remember those two circadian oscillators (Morning, Evening)?oscillators (Morning, Evening)?

Well, Well, these are these are different!different!

Shorter periods Shorter periods Sensitive to Sensitive to

soundsound

Page 72: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Two Different OscillatorsTwo Different Oscillators

Two oscillators: Different periods

1. Lower-order oscillator, period ~ period ~ IOIIOI..

2. Accent oscillator, period ~ 4 IOIsperiod ~ 4 IOIs

If the Accent oscillator dominates, then only only the Regular Rhythm will give an Expectancy Profile.

Which dominates?

Page 73: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

50

60

70

80

90

Very Early Early On Time Late Very Late

Regular Rhythm

Irregular RhythmPCPC

P<.001

Page 74: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Two Oscillators Two Oscillators In listening to sound patternsIn listening to sound patterns

Differential responses to Differential responses to sounds: sounds: AcAccented versus cented versus Unaccented Unaccented

Flexible attendingFlexible attending:: DDominance of one oscillator in ominance of one oscillator in focal attending. focal attending.

Page 75: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Final CommentsFinal Comments

The dynamics of sound patterns together the dynamics of attending may explain real time tracking of events.

Assumptions about rhythm and attentional synchrony can enhance theoretical power.

Entrainment to dynamic contexts may play a role in judgments of both time and pitch.

Page 76: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Thank you !

Thank you !

Page 77: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.
Page 78: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.
Page 79: By Mari Riess Jones The Dynamics of Attending and Scene Analysis.

Two routes to SynchronyTwo routes to Synchrony

1. Anticipatory attending: 1. Anticipatory attending:

Attending heightens Attending heightens priorprior to an element. to an element.

Oscillator Oscillator period period is important. is important.

2.2. Reactive attending:Reactive attending:

If anticipation fails, If anticipation fails,

Attending shifts Attending shifts afterafter an element occurs. an element occurs.

Oscillator Oscillator pphasehase is important. is important.