Koumura Takuya 上村卓也

Researcher Number	10829394
Affiliation (Current)	2025: 日本電信電話株式会社NTTコミュニケーション科学基礎研究所, 人間情報研究部, 研究員
Affiliation (based on the past Project Information) *help	2020 – 2024: 日本電信電話株式会社NTTコミュニケーション科学基礎研究所, 人間情報研究部, 研究員
Review Section/Research Field	Except Principal Investigator Transformative Research Areas, Section (IV)
Keywords	Except Principal Investigator アート / リアリティ / 情動 / 価値 / オノマトペ / 聴覚 / 触覚 / 視覚 / 質感

Integrative understanding of deep SHITSUKAN recognition from visual, auditory, tactile and linguistic information
- Principal Investigator
  
  西田眞也
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  Kyoto University

All 2024 2023 2022 2021

All Journal Article Presentation

[Journal Article] Artificial Neural Network Trained for Sound Recognition Exhibiting Human-like Sensitivity to Sound Amplitude Modulation2024
- Author(s)
  Koumura Takuya
- Journal Title
  
  NTT Technical Review
  
  Volume: 22 Issue: 1 Pages: 80-84
- DOI
  10.53829/ntr202401ra1
- ISSN
  2436-5327
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-20H05957
[Journal Article] Human-like Modulation Sensitivity Emerging through Optimization to Natural Sound Recognition2023
- Author(s)
  Takuya Koumura, Hiroki Terashima, Shigeto Furukawa
- Journal Title
  
  Journal of Neuroscience
  
  Volume: -
- Data Source
  KAKENHI-PLANNED-20H05957
[Journal Article] Visual discrimination of optical material properties: A large-scale study2022
- Author(s)
  Sawayama Masataka、Dobashi Yoshinori、Okabe Makoto、Hosokawa Kenchi、Koumura Takuya、Saarela Toni P.、Olkkonen Maria、Nishida Shin'ya
- Journal Title
  
  Journal of Vision
  
  Volume: 22 Issue: 2 Pages: 17-17
- DOI
  10.1167/jov.22.2.17
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-20H05954, KAKENHI-PLANNED-20H05957
[Journal Article] Reproducing Brain Functions and Evaluating Its Structure for Creating the Brain2021
- Author(s)
  Koumura Takuya
- Journal Title
  
  The Brain & Neural Networks
  
  Volume: 28 Issue: 4 Pages: 183-191
- DOI
  10.3902/jnns.28.183
- NAID
  130008139720
- ISSN
  1340-766X, 1883-0455
- Year and Date
  2021-12-05
- Language
  Japanese
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] 複数音源認識で訓練した人工ニューラルネットワークにおける両耳間時間差チューニング2023
- Author(s)
  上村卓也, 寺島裕貴, 古川茂人
- Organizer
  第151回(2024年春季)研究発表会, 日本音響学会
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] Computational Comparative Approaches for Understanding Why Auditory Neurophysiological and Psychophysical Properties Have Emerged in the Auditory System2023
- Author(s)
  Takuya Koumura
- Organizer
  The 9th CiNet Conference
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] 音認識で訓練した人工ニューラルネットワークの各層における変調周波数選択性2023
- Author(s)
  上村卓也, 寺島裕貴, 古川茂人
- Organizer
  第150回(2023秋季)研究発表会, 日本音響学会
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] Comparison of Neural Networks Trained for Multi-Source and Single-Source Sound Recognition: Towards Modeling Auditory Mechanisms of Multi-Source Sound Recognition.2023
- Author(s)
  Takuya Koumura, Hiroki Terashima, Shigeto Furukawa
- Organizer
  第33回全国大会, 日本神経回路学会
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] Simulating Psychophysical Modulation Masking Experiments in an Artificial Neural Network Trained for Sound Classification2023
- Author(s)
  Takuya Koumura, Hiroki Terashima, Shigeto Furukawa
- Organizer
  47th Annual MidWinter Meeting, Association for Research in Otolaryngology
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] Artificial Neural Network as a Computational Model to Explain Neuronal Tuning Properties in the Ascending Auditory Pathway2022
- Author(s)
  上村卓也
- Organizer
  生物音響学会
- Invited
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] 音認識のための人工ニューラルネットワークにおける両耳間時間差チューニング2022
- Author(s)
  上村卓也
- Organizer
  センシング技術応用研究会
- Invited
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] ニューラルネットワークとヒトにおける時間変調伝達関数の比較2021
- Author(s)
  上村卓也, 寺島裕貴, 古川茂人
- Organizer
  日本音響学会聴覚研究会
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] Psychophysical detection sensitivity in a neural network trained for sound classification2021
- Author(s)
  上村卓也, 寺島裕貴, 古川茂人
- Organizer
  日本神経回路学会
- Data Source
  KAKENHI-PLANNED-20H05957
[Presentation] 教師あり学習を用いた聴覚系のモデリング2021
- Author(s)
  上村卓也
- Organizer
  音響学会サマーセミナー
- Invited
- Data Source
  KAKENHI-PLANNED-20H05957

1. 西田眞也 (20396162)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 堀内隆彦 (30272181)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 坂本真樹 (80302826)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 梶本裕之 (80361541)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 土橋宜典

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Koumura Takuya 上村 卓也

Research Projects

Research Products

Co-Researchers

Integrative understanding of deep SHITSUKAN recognition from visual, auditory, tactile and linguistic information

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Artificial Neural Network Trained for Sound Recognition Exhibiting Human-like Sensitivity to Sound Amplitude Modulation2024

Author(s)

Journal Title

DOI

ISSN

Data Source

[Journal Article] Human-like Modulation Sensitivity Emerging through Optimization to Natural Sound Recognition2023

Author(s)

Journal Title

Data Source

[Journal Article] Visual discrimination of optical material properties: A large-scale study2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Reproducing Brain Functions and Evaluating Its Structure for Creating the Brain2021

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Presentation] 複数音源認識で訓練した人工ニューラルネットワークにおける両耳間時間差チューニング2023

Author(s)

Organizer

Data Source

[Presentation] Computational Comparative Approaches for Understanding Why Auditory Neurophysiological and Psychophysical Properties Have Emerged in the Auditory System2023

Author(s)

Organizer

Data Source

[Presentation] 音認識で訓練した人工ニューラルネットワークの各層における変調周波数選択性2023

Author(s)

Organizer

Data Source

[Presentation] Comparison of Neural Networks Trained for Multi-Source and Single-Source Sound Recognition: Towards Modeling Auditory Mechanisms of Multi-Source Sound Recognition.2023

Author(s)

Organizer

Data Source

[Presentation] Simulating Psychophysical Modulation Masking Experiments in an Artificial Neural Network Trained for Sound Classification2023

Author(s)

Organizer

Data Source

[Presentation] Artificial Neural Network as a Computational Model to Explain Neuronal Tuning Properties in the Ascending Auditory Pathway2022

Author(s)

Organizer

Data Source

[Presentation] 音認識のための人工ニューラルネットワークにおける両耳間時間差チューニング2022

Author(s)

Organizer

Data Source

[Presentation] ニューラルネットワークとヒトにおける時間変調伝達関数の比較2021

Author(s)

Organizer

Data Source

[Presentation] Psychophysical detection sensitivity in a neural network trained for sound classification2021

Author(s)

Organizer

Data Source

[Presentation] 教師あり学習を用いた聴覚系のモデリング2021

Author(s)

Organizer

Data Source

Koumura Takuya 上村卓也