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Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

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Page 1: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Computational models of cognitive control (I)

Matthew BotvinickPrinceton Neuroscience Institute andDepartment of Psychology, Princeton University

Page 2: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Atkinson & Shiffrin, 1968

Page 3: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Atkinson & Shiffrin, 1968

Structural elements

Short-term store

Sensory register

Long-term store

Page 4: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Atkinson & Shiffrin, 1968

Structural elements

Short-term store

Sensory register

Long-term store

Control elements

Search / RetrievalTransfer to/from STS

Which register?Forward into sts?

SearchRehearsal

Page 5: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Baddeley, 1986/2007

Page 6: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Baddeley, 1986/2007

“Slave systems”

Page 7: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Shiffrin & Schneider, 1977

Page 8: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Norman & Shallice, 1986

Contention scheduling system

Page 9: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Norman & Shallice, 1986

Supervisory attentional system (SAS)

Contention scheduling system

Page 10: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

GREEN

Page 11: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

< < < > < < <

Page 12: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

-- Controlled (task-guided) attention: “attention for action” (Stroop)

-- Ignoring or inhibiting task-irrelevant stims/responses (Go/No-Go)

-- Manipulating information in working memory (N-Back)

-- Switching between tasks (Wisconsin Card Sort)

-- Planning / scheduling (Tower of London)

-- Navigating through extended, hierarchically structured tasks

“Executive/Cognitive Control”

Page 13: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

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Page 15: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

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Page 16: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

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Page 17: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

-- Controlled (task-guided) attention: “attention for action” (Stroop)

-- Ignoring or inhibiting task-irrelevant stims/responses (Go/No-Go)

-- Manipulating information in working memory (N-Back)

-- Switching between tasks (Wisconsin Card Sort)

-- Planning / scheduling (Tower of London)

-- Navigating through extended, hierarchically structured tasks

“Executive/Cognitive Control”

Page 18: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 19: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

-- Controlled (task-guided) attention: “attention for action” (Stroop)

-- Ignoring or inhibiting task-irrelevant stims/responses (Go/No-Go)

-- Manipulating information in working memory (N-Back)

-- Switching between tasks (Wisconsin Card Sort)

-- Planning / scheduling (Tower of London)

-- Navigating through extended, hierarchically structured tasks

“Executive/Cognitive Control”

Page 20: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 21: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

-- Controlled (task-guided) attention: “attention for action” (Stroop)

-- Ignoring or inhibiting task-irrelevant stims/responses (Go/No-Go)

-- Manipulating information in working memory (N-Back)

-- Switching between tasks (Wisconsin Card Sort)

-- Planning / scheduling (Tower of London)

-- Navigating through extended, hierarchically structured tasks

“Executive/Cognitive Control”

Page 22: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 23: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

-- Controlled (task-guided) attention: “attention for action” (Stroop)

-- Ignoring or inhibiting task-irrelevant stims/responses (Go/No-Go)

-- Manipulating information in working memory (N-Back)

-- Switching between tasks (Wisconsin Card Sort)

-- Planning / scheduling (Tower of London)

-- Navigating through extended, hierarchically structured tasks

“Executive/Cognitive Control”

Page 24: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 25: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

-- Controlled (task-guided) attention: “attention for action” (Stroop)

-- Ignoring or inhibiting task-irrelevant stims/responses (Go/No-Go)

-- Manipulating information in working memory (N-Back)

-- Switching between tasks (Wisconsin Card Sort)

-- Planning / scheduling (Tower of London)

-- Navigating through extended, hierarchically structured tasks

“Executive/Cognitive Control”

Page 26: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

-- Controlled (task-guided) attention: “attention for action” (Stroop)

-- Ignoring or inhibiting task-irrelevant stims/responses (Go/No-Go)

-- Manipulating information in working memory (N-Back)

-- Switching between tasks (Wisconsin Card Sort)

-- Planning / scheduling (Tower of London)

-- Navigating through extended, hierarchically structured tasks

GETTING WITH (AND STAYING WITH) THE PROGRAM

“Executive/Cognitive Control”

Page 27: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

GETTING WITH (AND STAYING WITH) THE PROGRAM

Encoding / Formulation Maintenance Projection Updating

Task Context

Page 28: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

GREEN

Page 29: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Cohen, McClelland & Dunbar, 1990

Page 30: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 31: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 32: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 33: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 34: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 35: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 36: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 37: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

< < < > < < <

Page 38: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 39: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Cohen, Servan-Schreiber & McClelland, AJP, 1992.

Page 40: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 41: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Cohen, Servan-Schreiber & McClelland, AJP, 1992.

Page 42: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
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Page 44: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 45: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

White & Wise, Exp Br Res, 1999

(See also: Assad, Rainer & Miller, 2000; Bunge, 2004; Hoshi, Shima & Tanji, 1998; Johnston & Everling, 2006; Wallis, Anderson & Miller, 2001; White, 1999…)

Page 46: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

From Curtis & D’Esposito, TICS, 2003, after Funahashi et al., J. Neurophysiol,1989.

Page 47: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Questions…

-- What about manipulation in WM, etc? -- dynamics (switching, sequences)-- what controls control? (Homunculus)

Page 48: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Intermission

Page 49: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
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Page 51: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 52: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 53: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

“A controlled process is a temporary sequenceof nodes activated under control of, andthrough attention by, the subject. Becauseactive attention by the subject is required,only one such sequence at a time may becontrolled without interference.”

Shiffrin & Schneider, 1977

Page 54: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 55: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Ridderinkhof et al., Science, 2004 (Based on Picard & Strick, Curr. Op. Biol., 2001)

Page 56: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Response override

Page 57: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Response override Underdetermined responding

Page 58: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Response override Underdetermined responding

Error commission

Page 59: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Response override Underdetermined responding

Error commission

Conflict

Page 60: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

GREEN

GREEN

Page 61: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

< < < > < < <

> > > > > > >

Page 62: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, et al. (1999) Nature.

< < < > < < <

Page 63: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

Thompson-Schill et al., PNAS, 1997

High constraint: APPLE

Low constraint: BALL

Page 64: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Carter, Braver, Barch, Botvinick, Noll & Cohen, Science, 1998

Page 65: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Barch, et al. Cerebral Cortex, 2001 / Botvinick, Carter & Cohen, TICS, 2004

Ridderinkhoff et al., Science, 2004

Page 66: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, et al. (2001) Psychological Review.

Page 67: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, et al. (2001) Psychological Review.

Page 68: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, et al. (2001) Psychological Review.

Page 69: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Carter, Braver, Barch, Botvinick, Noll & Cohen, Science, 1998

Page 70: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Gratton et al., JEPG, 1992

Low controlHigh conflict

High controlLow conflict

Page 71: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

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Low controlHigh conflict

Page 72: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Tzelgov, et al. (1992) Memory & Cognition.

High controlLow conflict

Low controlHigh conflict

Page 73: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Carter, MacDonald, Botvinick et al. (2000) PNAS.

Low controlHigh conflict

Page 74: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Barch, Braver, Sabb & Noll, JCN, 2000

Underdeterminedresponding

ResponseOverride

Page 75: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Yeung, Botvinick & Cohen, Psychological Review, 2004

Page 76: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 77: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Stuphorn, Taylor & Schall, Nature, 2000

Ito et al., Science, 2000ACC

SEF

Page 78: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Nakamura, Roesch & Olson, J. Neurophys. 2005

Page 79: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Curtis et al., Cereb. Ctx., 2005

Page 80: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Davis et al., J. Neurosci. 2005

Neutral Incongruent

44%

Page 81: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

WHY?

Page 82: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 83: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 84: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Control

Conflict

Page 85: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Gratton et al., JEPG, 1992

Page 86: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, et al. (2001) Psychological Review.

Page 87: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, et al. (2001) Psychological Review.

Page 88: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Tzelgov, et al. (1992) Memory & Cognition.

Page 89: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, et al. (2001) Psychological Review.

Page 90: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, et al. (2001) Psychological Review.

Page 91: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Mayr, Awh & Laurey, Nature Neuroscience, 2003

Page 92: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Mayr, Awh & Laurey, Nature Neuroscience, 2003

Page 93: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Ullsperger & Botvinick, PB&R, 2005 Kerns, et al. (2004) Science.

See also:Freitas, Bahar, Yang, and Banai, Psychological Science, 2007  Notebaert, Gevers, Verbruggen, & Liefooghe, Psychonomic Bulletin & Review, 2006  

Page 94: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Freitas, Bahar, Yang, and Banai, Psychological Science, 2007 

Page 95: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Kerns, et al. (2004) Science.

Page 96: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

DiPellegrino, Ciaramelli & Ladavas, J. Cog. Neuro., 2007

Page 97: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
Page 98: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Monitoring of action outcomes -- especially outcomes considered aversive or signaling reduction in reward

Gehring & Willoughby, Science, 2002Luu et al., Psychol. Sci., 2004 Niewenhuis et al., Cerebral Cortex, 2004Bush et al., PNAS, 2002Holroyd & Coles, Psychol. Rev., 2002

Use of outcome information to guide action selection

Matsumoto, et al. Science, 2003Bush, et al., PNAS, 2002Holroyd & Coles, Psychol. Rev. 2002Hadland, et al., J. Neurophysiol., 2003Kennerley, et al., Nature Neurosci., 2006

Action selection based on cost-benefit analysis

Rushworth, et al., TICS, 2004

Cost-benefit analysis might take effort into account

Walton, et al., J. Neurosci., 2003

Page 99: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Johansen & Fields, Nature Neuroscience, 2004

Glu antagonist Glu agonist(kynurenic acid) (homocysteic acid)

Page 100: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Jackson, Frost & Moghaddam, J. Neurochem., 2001

Page 101: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Toward an integrative account

Page 102: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Conflict is an outcome of action / strategy selection

Toward an integrative account

Page 103: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Conflict is an outcome of action / strategy selection

Conflict is aversive (registers as a cost)

Toward an integrative account

Page 104: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Conflict is an outcome of action / strategy selection

Conflict is aversive (registers as a cost)

Conflict informs subsequent decision making

Toward an integrative account

Page 105: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Conflict is an outcome of action / strategy selection

Conflict is aversive (registers as a cost)

Conflict avoidance

Conflict informs subsequent decision making

Toward an integrative account

Page 106: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

task cue

strategy

Page 107: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

stimulus task cue

strategyresponse

Page 108: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

stimulus task cue

strategyresponse

conflict

Page 109: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

stimulus task cue

strategyresponse

conflict

Page 110: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Law of least mental effort:

All else being equal, actions will be chosen so as to minimize the demand for cognitive control (indexed by processing conflict).

Law of least effort (Hull): All else being equal, actions will be chosen so as to minimize the amount of work performed.

Page 111: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Macleod, Hunt & Mathews, Journal of Verbal Learning and Verbal Behavior, 1978

STAR ABOVE CROSS

Page 112: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

“One basis for strategy selection: minimization of cognitive workload.”

-- Reichle, Carpenter & Just, Cog. Psychol., 2003.

Page 113: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
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4

Page 116: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
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3

90% switch 10% switch

Page 118: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, CABN, 2007

Card

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Card

Botvinick, CABN, 2007

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Card

Botvinick, CABN, 2007

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Card

Botvinick, CABN, 2007

Page 122: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Anticipatory skin conductance responses

Bechara, Damasio, Damasio, & Lee, Journal of Neuroscience, 1999.

Page 123: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

0

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Performance Decision

SCR (area)

High demand

Low demand

Botvinick & Rosen, Psych Res, in press

Page 124: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick & Rosen, Psych Res, in press

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0

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Performance Decision

SCR (area)

High demand

Low demand

Botvinick & Rosen, Psych Res, in press

SCR ACC (Nagai, Critchley, Featherstone, Trimble, & Dolan, 2004)

ACC damage loss of effort- and IGT-related SCR (Naccache et al., 2005))

Page 126: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

8

9

3

Deciding your pay…

X

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Deciding your pay…

$

2000 ms

2000 ms

2000-8000 ms

2000 ms

2000-8000 ms

2

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Deciding your pay…

X

6

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Deciding your pay…

$

2000 ms

2000 ms

2000-8000 ms

2000 ms

2000-8000 ms

X $

Botvinick, Huffstetler & McGuire, in press

Page 127: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Botvinick, Huffstetler & McGuire, in press

Page 128: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University
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Page 133: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

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Page 134: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

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Page 135: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Conclusions

Conflict can be viewed as an index of the demand for control

The occurrence of conflict appears to be detected in the brain

Conflict detection appears to impact cognitive control

Conflict may also register as a cost

Tasks / strategies may be chosen so as to minimize conflict

Page 136: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Where does this put us?

Page 137: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Where does this put us?

Chipping away at the homunculus

Page 138: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Where does this put us?

Chipping away at the homunculus

But this is just about modulating task representations

Page 139: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Where does this put us?

Chipping away at the homunculus

But this is just about modulating task representations

How are task representations selected in the first place?

Page 140: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Where does this put us?

Chipping away at the homunculus

But this is just about modulating task representations

How are task representations selected in the first place?

How are they sequenced?

Page 141: Computational models of cognitive control (I) Matthew Botvinick Princeton Neuroscience Institute and Department of Psychology, Princeton University

Where does this put us?

Chipping away at the homunculus

But this is just about modulating task representations

How are task representations selected in the first place?

How are they sequenced?

Dynamics (decision-making) and Learning