2002 Fiscal Year Final Research Report Summary
Theoretical study on neural correlates of thoughts and inference
| Project/Area Number |
12210001
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| Research Category |
Grant-in-Aid for Scientific Research on Priority Areas
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| Allocation Type | Single-year Grants |
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| Review Section |
Biological Sciences
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| Research Institution | Hokkaido University |
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Principal Investigator |
TSUDA Ichiro Hokkaido University, Graduate School of Science, Division of Mathematics, Professor, 大学院理学研究科, 教授 (10207384)
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| Co-Investigator(Kenkyū-buntansha) |
NAMIKI Takao Graduate School of Science, Division of Mathematics, Assistant, 大学院理学研究科, 助手 (40271712)
MATSUMOTO Kenji Graduate School of Science, Division of Mathematics, Associate Professor, 大学院理学研究科, 助教授 (80183953)
IKEGAMI Takashi The University of Tokyo, graduate school of Arts and Science, Professor, 大学院総合文化研究科, 教授 (10211715)
KAMPIS Geroge Japan Advanced Institute of Science and Technology, Visiting Professor, 客員助教授
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| Project Period (FY) |
2000 – 2002
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| Keywords | Thoughts / Inferences / Chaos / Fractal / Learning experimen / Associative memories / episodic memories |
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| Research Abstract |
In order to investigate thoughts and inference processes and their neural correlates, we first clarified the difference between thoughts and memories, which is shown in the following: Thoughts are context-free, while associative memories are context-dependent; thoughts can be viewed as finding of relations, computations, and going beyond the circumstances with contradictions, that is, a kind of abduction. We inferred that episodic memories are on the intermediate stage of temporal information processings between thoughts and simple memories.
Second, we made a model for representation of inferen of prooesses by dynamical systems. ************************ ***eed chaotic itinerancy between partially synchronized states, where chaotic itinerancy indicates a process of inference.
Third, we classified inferences, and studied how to conduct an experiment with monkey on a syllogism. We concluded that we should conduct the experiment on category, for the first step. In order to interpret the experimental data, we made a mathematical tool for its analysis.
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