2019 Fiscal Year Research-status Report
Cognitive Modeling To Inform the Design of Executive Function Training
Project/Area Number |
19K20996
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Allocation Type | Multi-year Fund |
Research Institution | The University of Tokyo |
Principal Investigator |
Robb Nigel 東京大学, 教養学部, 特任講師 (00825466)
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Project Period (FY) |
2019-04-01 – 2021-03-31
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Keywords | Cognitive training / Cognitive modeling / Executive function |
Outline of Annual Research Achievements |
I have implemented a cognitive model of executive function training in Emergent version 8.5.2 using the Leabra learning algorithm. Additionally, I have also implemented a second cognitive model in Nengo version 3.0 using the Neural Engineering Framework. This is important because it provides a spiking neural network which may be more biologically plausible that the model implemented in Leabra. My research offers novel insights and predictions regarding how generalization is involved in transfer of cognitive training to novel tasks. I have prepared a research paper for publication. Finally, I have presented the research at the Asian Conference on Education (Tokyo, 2019) and a University of Tokyo Faculty Research Forum (2020).
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Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
Due to additional work and impacts of novel coronavirus (limited access to equipment), research is slightly delayed
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Strategy for Future Research Activity |
Submit articles to peer review journals
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Causes of Carryover |
Due to delays (additional work and delays due to novel coronavirus), articles have not yet been accepted for publication. Funds will be used to pay Article Processing Charges for open access Journals.
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