Yayınlanmış 1 Ocak 2019
| Sürüm v1
Konferans bildirisi
Açık
Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks
Oluşturanlar
- 1. Middle East Tech Univ, Dept Comp Engn, Ankara, Turkey
- 2. Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA
Açıklama
It is hypothesized that the process of complex problem solving in human brain consists of two basic phases, namely, planning and execution. In this study, we propose a computational model in order to verify this hypothesis. For this purpose, we develop a holistic approach for decoding the planning and execution phases of complex problem solving, using the functional magnetic resonance imaging data (fMRI), recorded when the subjects play the Tower of London (TOL) game.
Dosyalar
bib-b57c05e6-7010-4253-b7aa-e2331cbdc801.txt
Dosyalar
(227 Bytes)
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