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Home > Tenured Faculties > Takiyama Ken
Takiyama Ken
Affiliation | Institute of Engineering |
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Division | Division of Advanced Electrical and Electronics Engineering |
Research field | Computational Neuroscience |
Keyword(S) | Neural network, motor learning & control, behavioral experiment, machine learning |
Url | https://sites.google.com/site/takiyama1106/ |
Research experience | ・2013.4.1-2015.8.31: JSPS research fellow (SPD) |
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Educational background | ・2008.3: The University of Tokyo, Department of Education |
Awards | * The latest information is shown at the member's website. |
Selected papers and publications | * The latest information is shown at the member's website. |
When we challenge an unknown instruments, we cannot play it well. When we challenge an unknown sport, we cannot give a good performance. However, we can achieve desired performance of the instrument or in the sport after practicing those. These are examples of motor learning in which we gradually improve our motor skill by practicing. Examples of motor learning are playing instruments, doing sports, rehabilitation, or robotics, which suggests that results of motor learning researches can be applied to various kinds of situations. The motor learning is considered to be originated from plasticity in our brain. Based on mathematical modeling and human behavioral experiments, our laboratory investigate the following three topics: 1. "Information processing in our brain during motor learning process", 2. "how to evaluate motor learning ability in individual", and 3. "training paradigm to efficiently improve motor skill". We plan to use electroencephalograms (EEG) or machine learning technique to approach those topics from different perspectives.
This progam gives young researchers, including me, precious, attractive, and challenging experiences of managing laboratory. In the last month, I cleaned remained desks, chairs, and shelfs, and ordered new desks, chairs. I did not have those kinds of experiences and those experiences let me know how difficult it is to manage laboratoty. From the next year, I will have some lectures and educate some students. There are many young researched all over the world, but most of them cannot have such experiences. This program let us to have many precious experiences, I think.
Since I am a principal investigator, I want to do many researches with which I can feel satisfied. In particular, since I attempt to propose a unified model of motor learning which can explain various motor learning related phenomena within a single framework, I continue to improve the unified model. Additionally, my son is 11 months old and I love him so much. I want to take care of not only my jobs but my families. Further, I want to make a win-win relation between me and students in my laboratory.