Quantified Sentences as a Window into Prediction and Priming: An ERP - - PowerPoint PPT Presentation

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Quantified Sentences as a Window into Prediction and Priming: An ERP - - PowerPoint PPT Presentation

Quantified Sentences as a Window into Prediction and Priming: An ERP Study Aniello De Santo Jon Rawski Amanda Yazdani John E. Drury Stony Brook University aniello.desanto@stonybrook.edu aniellodesanto.github.io CLS 54 April 26, 2018 The


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SLIDE 1

Quantified Sentences as a Window into Prediction and Priming: An ERP Study

Aniello De Santo Jon Rawski Amanda Yazdani John E. Drury

Stony Brook University aniello.desanto@stonybrook.edu aniellodesanto.github.io

CLS 54 April 26, 2018

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SLIDE 2

The Elevator Pitch

Previously on This Topic

◮ N400 insensitive to truth-value (Fischler et al. 1983); ◮ N400 modulated by truth-value when controlling for

pragmatically unnatural uses of negation (Nieuwland & Kuperberg 2008). In This Talk We (Aim To) ... ... unequivocally disambiguate truth-value and priming by examining the processing of simple quantified sentences. We Also Discuss ...

◮ Early prediction effects tied to the truth-conditional properties

  • f quantifiers;

◮ ERP markers of quantifier complexity.

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SLIDE 3

The Elevator Pitch

Previously on This Topic

◮ N400 insensitive to truth-value (Fischler et al. 1983); ◮ N400 modulated by truth-value when controlling for

pragmatically unnatural uses of negation (Nieuwland & Kuperberg 2008). In This Talk We (Aim To) ... ... unequivocally disambiguate truth-value and priming by examining the processing of simple quantified sentences. We Also Discuss ...

◮ Early prediction effects tied to the truth-conditional properties

  • f quantifiers;

◮ ERP markers of quantifier complexity.

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SLIDE 4

The Elevator Pitch

Previously on This Topic

◮ N400 insensitive to truth-value (Fischler et al. 1983); ◮ N400 modulated by truth-value when controlling for

pragmatically unnatural uses of negation (Nieuwland & Kuperberg 2008). In This Talk We (Aim To) ... ... unequivocally disambiguate truth-value and priming by examining the processing of simple quantified sentences. We Also Discuss ...

◮ Early prediction effects tied to the truth-conditional properties

  • f quantifiers;

◮ ERP markers of quantifier complexity.

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SLIDE 5

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Outline

1 N400 & Truth-value 2 Experimental Design 3 N400&Priming 4 Prediction Effects 5 Conclusions

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SLIDE 6

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Truth-value/Negation and the N400

Fischler et al. (1983) Is the N400 modulated by falseness, or by semantic mismatches?

2

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SLIDE 7

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Truth-value/Negation and the N400

Fischler et al. (1983) Is the N400 modulated by falseness, or by conceptual mismatches?

2

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SLIDE 8

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Truth-value/Negation and the N400

Fischler et al. (1983) Is the N400 modulated by falseness, or by conceptual mismatches?

2

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SLIDE 9

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Fischler et al. (1983)

N400 N400

⇒ N400 modulated by subject/predicate relatedness.

→ cf. Kounios & Holcomb (1992), L¨ udtke et al. (2008) a.o.

3

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SLIDE 10

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Fischler et al. (1983)

N400 N400

⇒ N400 modulated by subject/predicate relatedness.

→ cf. Kounios & Holcomb (1992), L¨ udtke et al. (2008) a.o.

3

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SLIDE 11

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Nieuwland & Kuperberg (2008)

Aim Disentangle effects of truth-value and pragmatic licensing.

3/30/2018 Click on image to zoom https://www.ncbi.nlm.nih.gov/core/lw/2.0/html/tileshop_pmc/tileshop_pmc_inline.html?title=Click%20on%20image%20to%20zoom&p=PMC3&id=3225068_nihms329928f1.jp Drag image to reposition. Double click to magnify further.

4

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SLIDE 12

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Nieuwland & Kuperberg (2008)

Aim Disentangle effects of truth-value and pragmatic licensing.

3/30/2018 Click on image to zoom https://www.ncbi.nlm.nih.gov/core/lw/2.0/html/tileshop_pmc/tileshop_pmc_inline.html?title=Click%20on%20image%20to%20zoom&p=PMC3&id=3225068_nihms329928f1.jp Drag image to reposition. Double click to magnify further.

N400

4

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SLIDE 13

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Nieuwland & Kuperberg (2008)

4

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SLIDE 14

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Nieuwland & Kuperberg (2008)

⇒ N400 modulated by truth-value in pragmatically natural contexts.

4

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SLIDE 15

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

In This Study

Aim We want to disambiguate N400 effects of truth-value and priming.

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

◮ Shape/color combinations yield 8 conditions; ◮ Contrast ratio 7 : 7 (ALL/NONE) or 5 : 2 (MOST/SOME); ◮ False conditions: unprimed color/shape-predicates (i.e. red) ◮ Adult native English speakers (N = 10) asked for (mis)match

judgments after each trial.

5

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SLIDE 16

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

In This Study

Aim We want to disambiguate N400 effects of truth-value and priming.

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

◮ Shape/color combinations yield 8 conditions; ◮ Contrast ratio 7 : 7 (ALL/NONE) or 5 : 2 (MOST/SOME); ◮ False conditions: unprimed color/shape-predicates (i.e. red) ◮ Adult native English speakers (N = 10) asked for (mis)match

judgments after each trial.

5

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SLIDE 17

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 18

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 19

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 20

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 21

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 22

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 23

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 24

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 25

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 26

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 27

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P) ◮ Some... Red (UP>P) ◮ Most ... Red (UP>P) ◮ None... Red (UP>P)

6

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SLIDE 28

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P /F>T) ◮ Some... Red (UP>P /F>T) ◮ Most ... Red (UP>P /F>T) ◮ None... Red (UP>P /T>F)

6

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SLIDE 29

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Hypothesis Table

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P /F>T) ◮ Some... Red (UP>P /F>T) ◮ Most ... Red (UP>P /F>T) ◮ None... Red (UP>P /T>F)

6

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SLIDE 30

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

N400 Effects of Truth-Value and Priming

◮ ERPs (F−T) time-locked to predicate onset

7

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SLIDE 31

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Interim Summary: Priming and Truth-Value

N400 modulated by truth-value

◮ All ... Red (F>T) ◮ Some ... Red (F>T) ◮ Most ... Red (F>T) ◮ None ... Blue(F>T)

N400 modulated by visual prime

◮ All ... Red (UP>P/F>T) ◮ Some... Red (UP>P/F>T) ◮ Most ... Red (UP>P/F>T) ◮ None... Red (UP>P/T>F) ◮ Truth-value does not modulate N400 amplitude. ◮ N400 is driven by priming the expected continuation;

8

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SLIDE 32

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

A Closer Look: N200 Effects

◮ ERPs (F−T) time-locked to predicate onset

9

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SLIDE 33

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Prediction Effects on the N200

Hypothesis Prediction Effects on N200:

◮ Phonological Mismatch Negativities (Connolly&Phillips,1994).

10

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SLIDE 34

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (1/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

−6 −3 3

11

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SLIDE 35

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (1/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

All of the squares are reds

−6 −3 3

11

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SLIDE 36

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (1/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

All of the squares are reds blue

−6 −3 3

11

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SLIDE 37

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (1/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

All of the squares are reds blue

−6 −3 3

11

slide-38
SLIDE 38

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (1/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

All of the squares are reds blue

200 400

−6 −3 3 6

Cz

N400 (T > F)

NONE

N200 (F > T)

ALL, SOME

11

slide-39
SLIDE 39

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (2/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

−6 −3 3

12

slide-40
SLIDE 40

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (2/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

None of the squares are reds

−6 −3 3

12

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SLIDE 41

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (2/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

None of the squares are reds ¬ blue

−6 −3 3

12

slide-42
SLIDE 42

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (2/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

None of the squares are reds ¬ blue

−6 −3 3

12

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SLIDE 43

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (2/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

None of the squares are reds ¬ blue {yellow, red, green,...}

−6 −3 3

12

slide-44
SLIDE 44

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (2/4)

All of the squares are blues All of the squares are reds None of the squares are blues None of the squares are reds

ALL NONE

None of the squares are reds ¬ blue {yellow, red, green,...}

200 400

−6 −3 3 6

Cz

N400 (T > F)

NONE

N200 (F > T)

ALL, SOME

12

slide-45
SLIDE 45

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (3/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

−6 −3 3

13

slide-46
SLIDE 46

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (3/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Some of the squares are reds

−6 −3 3

13

slide-47
SLIDE 47

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (3/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Some of the squares are reds

−6 −3 3

13

slide-48
SLIDE 48

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (3/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Some of the squares are reds yellow

−6 −3 3

13

slide-49
SLIDE 49

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (3/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Some of the squares are reds yellow

−6 −3 3

13

slide-50
SLIDE 50

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (3/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Some of the squares are reds yellow

200 400

−6 −3 3 6

Cz

N400 (T > F)

NONE

N200 (F > T)

ALL, SOME

13

slide-51
SLIDE 51

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (4/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

−6 −3 3

14

slide-52
SLIDE 52

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (4/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Most of the squares are reds

−6 −3 3

14

slide-53
SLIDE 53

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (4/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Most of the squares are reds

−6 −3 3

14

slide-54
SLIDE 54

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (4/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Most of the squares are reds blue

−6 −3 3

14

slide-55
SLIDE 55

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (4/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Most of the squares are reds blue

−6 −3 3

14

slide-56
SLIDE 56

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (4/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Most of the squares are reds blue

200 400

−6 −3 3 6

Cz

N400 (T > F)

NONE

N200 (F > T)

ALL, SOME

14

slide-57
SLIDE 57

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Quantifiers and Early Prediction Effects (4/4)

Most of the squares are blues Most of the squares are reds Some of the squares are yellows Some of the squares are reds

MOST SOME

Most of the squares are reds blue ???

200 400

−6 −3 3 6

Cz

N400 (T > F)

NONE

N200 (F > T)

ALL, SOME

14

slide-58
SLIDE 58

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Complexity Effects for MOST

◮ Complexity effects for

higher-order quantifiers (McMillan et al. 2005; Szymanik, 2016)

◮ Time-locking signals (F−T)

to the onset of the quantifiers... Hypothesis: MOST doesn’t cue early prediction effects ... ... due to additional working memory resources recruited in the processing of proportional quantifiers.

15

slide-59
SLIDE 59

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Complexity Effects for MOST

◮ Complexity effects for

higher-order quantifiers (McMillan et al. 2005; Szymanik, 2016)

◮ Time-locking signals (F−T)

to the onset of the quantifiers... Hypothesis: MOST doesn’t cue early prediction effects ... ... due to additional working memory resources recruited in the processing of proportional quantifiers.

15

slide-60
SLIDE 60

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Complexity Effects for MOST

◮ Complexity effects for

higher-order quantifiers (McMillan et al. 2005; Szymanik, 2016)

◮ Time-locking signals (F−T)

to the onset of the quantifiers... Hypothesis: MOST doesn’t cue early prediction effects ... ... due to additional working memory resources recruited in the processing of proportional quantifiers.

15

slide-61
SLIDE 61

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Complexity Effects for MOST

◮ Complexity effects for

higher-order quantifiers (McMillan et al. 2005; Szymanik, 2016)

◮ Time-locking signals (F−T)

to the onset of the quantifiers... Hypothesis: MOST doesn’t cue early prediction effects ... ... due to additional working memory resources recruited in the processing of proportional quantifiers.

15

slide-62
SLIDE 62

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Tracing Back Our Steps

Priming and Truth-Value

◮ N400 for ALL/SOME/MOST (F>T) relative to NONE (T>F) ◮ N400 is driven by priming the expected continuation

Prediction Effects on N200?

◮ early negativity for ALL/SOME vs. NONE/MOST

(False>True, peaking ∼ 200ms)

◮ PMMNs → anticipatory effects + truth-conditional properties

  • f quantifiers

Markers of Quantifier Complexity?

◮ positivity for MOST > ALL/NONE/SOME (∼ 350-450ms) ◮ complexity effects associated with initial encoding of

quantifiers A pletora of future research directions...

16

slide-63
SLIDE 63

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Tracing Back Our Steps

Priming and Truth-Value

◮ N400 for ALL/SOME/MOST (F>T) relative to NONE (T>F) ◮ N400 is driven by priming the expected continuation

Prediction Effects on N200?

◮ early negativity for ALL/SOME vs. NONE/MOST

(False>True, peaking ∼ 200ms)

◮ PMMNs → anticipatory effects + truth-conditional properties

  • f quantifiers

Markers of Quantifier Complexity?

◮ positivity for MOST > ALL/NONE/SOME (∼ 350-450ms) ◮ complexity effects associated with initial encoding of

quantifiers A pletora of future research directions...

16

slide-64
SLIDE 64

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Tracing Back Our Steps

Priming and Truth-Value

◮ N400 for ALL/SOME/MOST (F>T) relative to NONE (T>F) ◮ N400 is driven by priming the expected continuation

Prediction Effects on N200?

◮ early negativity for ALL/SOME vs. NONE/MOST

(False>True, peaking ∼ 200ms)

◮ PMMNs → anticipatory effects + truth-conditional properties

  • f quantifiers

Markers of Quantifier Complexity?

◮ positivity for MOST > ALL/NONE/SOME (∼ 350-450ms) ◮ complexity effects associated with initial encoding of

quantifiers A pletora of future research directions...

16

slide-65
SLIDE 65

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Tracing Back Our Steps

Priming and Truth-Value

◮ N400 for ALL/SOME/MOST (F>T) relative to NONE (T>F) ◮ N400 is driven by priming the expected continuation

Prediction Effects on N200?

◮ early negativity for ALL/SOME vs. NONE/MOST

(False>True, peaking ∼ 200ms)

◮ PMMNs → anticipatory effects + truth-conditional properties

  • f quantifiers

Markers of Quantifier Complexity?

◮ positivity for MOST > ALL/NONE/SOME (∼ 350-450ms) ◮ complexity effects associated with initial encoding of

quantifiers A pletora of future research directions...

16

slide-66
SLIDE 66

Selected References I

1

Connolly, J. F., Phillips, N. A. (1994). Event-related potential components reflect phonological and semantic processing of the terminal word of spoken sentences.

  • J. of Cognitive Neuroscience.

2

Fischler I., Bloom P., Childers D., Roucos S., Perry N. (1983) Brain potentials related to stages of sentence verification. Psychophysiology.

3

Kounios J, Holcomb P. (1992) Structure and process in semantic memory - evidence from event-related brain potentials and reaction-times.

  • J. of Experimental Psychology: General.

4

L¨ udtke, J., Friedrich, C., Filippis, M., Kaup, B. (2008). Event-related Potential Correlates of Negation in a Sentence—Picture Verification Paradigm. Journal of Cognitive Neuroscience, 1355-1370.

5

McMillan, C. T., R. Clark, P. Moore, C. Devita, and M. Grossman (2005). Neural basis for generalized quantifier comprehension. Neuropsychologia.

6

Nieuwland MS, Kuperberg GR. (2008) When the truth isn’t too hard to handle: An event-related potential study on the pragmatics of negation. Psychological science.

7

Szymanik, J. (2016). Quantifiers and Cognition: Logical and Computational Perspectives. Springer International Publishing.

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SLIDE 67

Appendix

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SLIDE 68

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

200 400 600 800 −6 −3 3 6 Fz 200 400 600 800 −6 −3 3 6 Cz 200 400 600 800 −6 −3 3 6 Pz 200 400 600 800 −6 −3 3 6 Oz

ALL

200 400 600 800 −6 −3 3 6 Fz 200 400 600 800 −6 −3 3 6 Cz 200 400 600 800 −6 −3 3 6 Pz 200 400 600 800 −6 −3 3 6 Oz

NONE

200 400 600 800 −6 −3 3 6 Fz 200 400 600 800 −6 −3 3 6 Cz 200 400 600 800 −6 −3 3 6 Pz 200 400 600 800 −6 −3 3 6 Oz

MOST

200 400 600 800 −6 −3 3 6 Fz 200 400 600 800 −6 −3 3 6 Cz 200 400 600 800 −6 −3 3 6 Pz 200 400 600 800 −6 −3 3 6 Oz

SOME

T (primed) F (unprimed) T (unprimed) F (primed) T (primed) F (unprimed) T (primed) F (unprimed)

All conditions, time-locked to the predicate onset, midline electrode

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SLIDE 69

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Encoding vs. Verification

+ +

RT <Q> dots are <C> 500 ms 4000 ms <Q> of the dots

Initial encoding Verification

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SLIDE 70

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Neurobehavioral studies (McMillan et al. 2005)

Differences in brain activity.

◮ All quantifiers are associated with numerosity:

→ recruit right inferior parietal cortex.

◮ Only higher-order activate working-memory capacity:

→ recruit right dorsolateral prefrontal cortex.

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SLIDE 71

N400 & Truth-value Experimental Design N400&Priming Prediction Effects Conclusions

Semantic Automata (Szymanik & Zajenkowsky 2009)

{All, Some} < {Even, Odd} < {At least n, At most n} < {Less than half, More than half, Most} FSA PDA