2023/12/04 更新

写真a

マツダ　エイコ
松田　英子
所属
附属機関・学校 データ科学センター
職名
講師（任期付）
学位
博士 ( 学術 )
メールアドレス
メールアドレス
プロフィール

Synesthesia and Artificial life

経歴

  • 2023年04月
    -
    継続中

    早稲田大学   データ科学センター   講師

  • 2018年10月
    -
    2023年03月

    東京大学   大学院情報学環 学際情報学圏 情報生命・思想学域   助教

  • 2016年04月
    -
    2018年09月

    東京農工大学   工学研究院   日本学術振興会特別研究員(PD)

  • 2015年05月
    -
    2016年03月

    東京大学   先端科学技術研究センター   特任研究員

  • 2014年04月
    -
    2015年03月

    Sussex University   客員研究員

  • 2014年04月
    -
    2015年03月

    日本学術振興会   特別研究員 (PD)

  • 2013年04月
    -
    2014年03月

    日本学術振興会   特別研究員 (DC2)

  • 2011年04月
    -
    2014年03月

    東京大学   大学院総合文化研究科 広域科学専攻 広域システム科学系   博士課程

  • 2009年
    -
    2011年

    東京大学   大学院総合文化研究科 広域科学専攻 広域システム科学系   修士課程

  • 2005年
    -
    2009年

    東京大学   教養学部 広域科学科   学部

▼全件表示

所属学協会

  • 2023年08月
    -
    継続中

    電気学会産業応用部門

  • 2023年08月
    -
    継続中

    IEEE

  • 2015年04月
    -
    継続中

    日本心理学会

研究分野

  • 生物物理、化学物理、ソフトマターの物理 / 知能ロボティクス / 教育心理学

研究キーワード

  • カオス

  • 共感覚

  • 複雑系

  • 身体性

  • ロボティクス

  • Complex system

  • Chaos

  • Synesthesia

  • Embodiment

  • Robotics

▼全件表示

 

論文

  • Olfactory Cues to Reduce Retrograde Interference During the Simultaneous Learning of Conflicting Motor Tasks

    Eiko Matsuda, Daichi Misawa, Shiro Yano, Toshiyuki Kondo

    Journal of Robotics and Mechatronics   34 ( 4 ) 746 - 755  2022年08月  [査読有り]

    担当区分：筆頭著者, 責任著者

    　概要を見る

    We investigated the ability of humans to adapt to a novel environment by kinematic transformation. This adaptation was studied via behavioural experiments using a robotic manipulandum – a system designed to arbitrarily generate virtual force fields against a human hand and subsequently record the hand’s trajectory. By repeating motor tasks, this study’s participants gradually learned to move correctly under a newly experienced force field, such as rotating in a clockwise direction. However, each participant’s motor memory was destroyed if he/she experienced an opposing force field (e.g., in a counterclockwise direction) immediately after learning the initial movement, which is known as retrograde interference. In some previous studies, it has been considered that by presenting sensory cues to highlight the difference in two opposing force fields, participants can learn both force fields independently without interference. In this study, we investigated the functionality of olfactory cues – specifically lemon and lavender odors – in reducing retrograde interference. Forty-five university students participated in an experiment using a robotic manipulandum. Our results have shown that the presence of lemon odor reduces the destruction of motor memory, while that of lavender did not, suggesting that odors can enhance simultaneous motor learning but the effect depends on the type of odor used.

    DOI

  • Time Series Analyses of the Responses to Sensory Stimuli of Children with Severe and Multiple Disabilities

    Eiko Matsuda, Tatsuki Takenaga, Mamoru Iwabuchi, Kenryu Nakamura

    Journal of Robotics and Mechatronics   34 ( 4 ) 726 - 738  2022年08月  [査読有り]

    担当区分：筆頭著者, 責任著者

    　概要を見る

    Severe and multiple disabilities (SMD) refers to the simultaneous occurrence of intellectual and physical problems. SMD in children is difficult to assess, as they often do not have the proper language or bodily responses to represent their feelings. In this study, we propose a methodology for evaluating reactions of children with SMD to sensory stimuli that does not rely on observations by humans, but rather is based on automatic detection of video-recorded data and quantification by time-series analyses. We present two case studies with typical participants: one with large body movements (P1) and another with subtle body movements (P2). For P1, it was observed that he showed larger bodily movements just before the onset of tactile stimuli, while he became silent for approximately 10 s after the onset, with the stimuli causing him to reduce self-stimulatory behavior and pay attention to his external environment. For P2, two quantitative methodologies – correlation coefficient and Granger causality – were adopted, to compare behavioral difference during the presentation of either sour or sweet taste stimuli. For the sweet conditions, the movement of the mouth was considered to be generated by some internal causes. Through these experiments, we confirmed the authenticity of assessments made by the participants’ caregivers, and also revealed otherwise unseen behavioral patterns and structures.

    DOI

  • Analyzing Visual Metaphor and Metonymy to Understand Creativity in Fashion

    Ryoko Uno, Eiko Matsuda, Bipin Indurkhya

    Frontiers in Psychology   9 ( 2527 ) 1 - 9  2019年01月  [査読有り]

    DOI

  • Developmental Changes in Number Personification by Elementary School Children

    Frontiers in Psychology   9   2214 - 2214  2018年  [査読有り]  [国際誌]

    担当区分：筆頭著者, 責任著者

    DOI PubMed

  • Olfactory Cues to Enhance Simultaneous Motor Leaning in Opposing Force Fields

    2017 IEEE International Symposium on Micro-Nano Mechatronics and Human Science (MHS2017)   2018-January   267 - 269  2017年  [査読有り]

    担当区分：筆頭著者, 責任著者

    DOI

  • 身の回りにあるテクノロジー（アルテク）を利用した支援インターフェース

    巖淵守, 松田英子

    計測と制御   18 ( 3 ) 229 - 234  2015年  [査読有り]

  • A Robotic Approach to Understanding the Role and the Mechanism of Vicarious Trial-And-Error in a T-Maze Task

    Eiko Matsuda, Julien Hubert, Takashi Ikegami

    PLOS ONE   9 ( 7 ) e102708:1 - 19  2014年07月  [査読有り]

    担当区分：筆頭著者, 責任著者

    　概要を見る

    Vicarious trial-and-error (VTE) is a behavior observed in rat experiments that seems to suggest self-conflict. This behavior is seen mainly when the rats are uncertain about making a decision. The presence of VTE is regarded as an indicator of a deliberative decision-making process, that is, searching, predicting, and evaluating outcomes. This process is slower than automated decision-making processes, such as reflex or habituation, but it allows for flexible and ongoing control of behavior. In this study, we propose for the first time a robotic model of VTE to see if VTE can emerge just from a body-environment interaction and to show the underlying mechanism responsible for the observation of VTE and the advantages provided by it. We tried several robots with different parameters, and we have found that they showed three different types of VTE: high numbers of VTE at the beginning of learning, decreasing numbers afterward (similar VTE pattern to experiments with rats), low during the whole learning period, and high numbers all the time. Therefore, we were able to reproduce the phenomenon of VTE in a model robot using only a simple dynamical neural network with Hebbian learning, which suggests that VTE is an emergent property of a plastic and embodied neural network. From a comparison of the three types of VTE, we demonstrated that 1) VTE is associated with chaotic activity of neurons in our model and 2) VTE-showing robots were robust to environmental perturbations. We suggest that the instability of neuronal activity found in VTE allows ongoing learning to rebuild its strategy continuously, which creates robust behavior. Based on these results, we suggest that VTE is caused by a similar mechanism in biology and leads to robust decision making in an analogous way.

    DOI

  • Time Scales, Synaptic Plasticity and Embodiment

    Eiko Matsuda

    Graduate School of Arts and Sciences, the University of Tokyo    2014年03月

  • Analysis of neuronal cells of dissociated primary culture on high-density CMOS electrode array

    Eiko Matsuda, Takeshi Mita, Julien Hubert, Douglas Bakkum, Urs Frey, Andreas Hierlemann, Hirokazu Takahashi, Takashi Ikegami

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS     1045 - 1048  2013年  [査読有り]

    担当区分：筆頭著者, 責任著者

    　概要を見る

    Spontaneous development of neuronal cells was recorded around 4-34 days in vitro (DIV) with high-density CMOS array, which enables detailed study of the spatio-temporal activity of neuronal culture. We used the CMOS array to characterize the evolution of the inter-spike interval (ISI) distribution from putative single neurons, and estimate the network structure based on transfer entropy analysis, where each node corresponds to a single neuron. We observed that the ISI distributions gradually obeyed the power law with maturation of the network. The amount of information transferred between neurons increased at the early stage of development, but decreased as the network matured. These results suggest that both ISI and transfer entropy were very useful for characterizing the dynamic development of cultured neural cells over a few weeks. © 2013 IEEE.

    DOI PubMed

  • Hebbian Learning in a Multimodal Environment

    proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems     698 - 705  2013年  [査読有り]

  • Multiple Time Scales Observed in Spontaneously Evolved Neurons on High-Density CMOS Electrode Array

    proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems     1075 - 1082  2013年  [査読有り]

    担当区分：筆頭著者, 責任著者

  • Exploration of the Learning Dynamics of Multi-Sensory Robots

    Eiko Matsuda

    Graduate School of Arts and Sciences, the University of Tokyo    2011年03月

  • The Role of Vicarious Trial-And-Error in a T-Maze Task

    proceedings of the 2nd International Conference on Morphological Computation     100 - 102  2011年  [査読有り]

    担当区分：筆頭著者, 責任著者

  • A Robotic Approach to Understand Roles of Vicarious Trial-and-Error

    松田英子

    proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems     514 - 521  2011年  [査読有り]

    担当区分：筆頭著者, 責任著者

  • A Robotic Approach to Understand Robust Systems

    the 3rd International Symposium on Mobiligence     361 - 366  2009年  [査読有り]

    担当区分：筆頭著者, 責任著者

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現在担当している科目

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他学部・他研究科等兼任情報

  • 附属機関・学校   グローバルエデュケーションセンター