Presentation 2010-01-25
ACT-R Meets fMRI/ERP : Case Studies for Investigating Human High Cognitive Functions
Yuya OJIMA, Shinichi MOTOMURA, Ning ZHONG,
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Abstract(in English) ACT-R (Adaptive Control of Thought-Rational), a theory and computational model of human cognitive architecture, enables us to predict the activated brain areas and information processing processes. In this paper, we use "ACT-R meets fMRI/ERP" as a methodology for investigating human information processing processes and their neuro-mechanism. More specifically, we carry out ACT-R for simulating two cognitvely experimental tasks: two digits addition and number series induction, as case studies of human high cognitive functions, as well as modeling human thinking processes from visual recognition of the tasks to reach an answer by defining procedural knowledge and declarative knowledge and predicting activated brain areas related to the tasks. Furthermore, we predict BOLD (Blood Oxygenation Level Dependent) response observed by fMRI (functional Magnetic Resonance Imaging). In addition, for two digits addition task, we show an interesting result by comparing simulation data with ERP (Event-Related Potential) data.
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Keyword(in English) ACT-R / fMRI / ERP / Cognitive modeling / Human high cognitive function
Paper # KBSE2009-50
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Committee KBSE
Conference Date 2010/1/18(1days)
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Registration To Knowledge-Based Software Engineering (KBSE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) ACT-R Meets fMRI/ERP : Case Studies for Investigating Human High Cognitive Functions
Sub Title (in English)
Keyword(1) ACT-R
Keyword(2) fMRI
Keyword(3) ERP
Keyword(4) Cognitive modeling
Keyword(5) Human high cognitive function
1st Author's Name Yuya OJIMA
1st Author's Affiliation Graduate School of Maebashi Institute of Technology()
2nd Author's Name Shinichi MOTOMURA
2nd Author's Affiliation Graduate School of Maebashi Institute of Technology
3rd Author's Name Ning ZHONG
3rd Author's Affiliation Graduate School of Maebashi Institute of Technology
Date 2010-01-25
Paper # KBSE2009-50
Volume (vol) vol.109
Number (no) 392
Page pp.pp.-
#Pages 6
Date of Issue