Terada Yu 寺田裕

Researcher Number	40815338
Other IDs
Affiliation (based on the past Project Information) *help	2021 – 2022: 東京大学, 大学院理学系研究科(理学部), 客員共同研究員 2019 – 2020: 国立研究開発法人理化学研究所, 脳神経科学研究センター, 基礎科学特別研究員
Review Section/Research Field	Principal Investigator Basic Section 61040:Soft computing-related
Keywords	Principal Investigator 海馬 / 学習 / 嗅内皮質 / 理論神経科学 / 場所細胞 / 格子細胞 / 場の理論 / アトラクターニューラルネットワーク / ベイズ計算 / 神経ゆらぎ … More / 線形応答理論 / 位相振動子系 / 平均場理論 / ニューラルネットワーク / カオス / 非線形動力学 / 結合推定 / 神経データ / リカレントニューラルネットワーク Less

Theoretical research on spatiotemporal information processing in the brainPrincipal Investigator
- Principal Investigator
  
  Terada Yu
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  The University of Tokyo
  Institute of Physical and Chemical Research

All 2023 2022 2021 2020 2019

All Journal Article Presentation Book

[Book] ニューラルネットワークとディープラーニング2022
- Author(s)
  Charu C. Aggarwal、竹村　彰通、今泉　允聡、李　鍾賛、今井　貴史、今井　徹、紅林　亘、齋藤　邦彦、健山　智子、寺田　裕、西出　俊、西出　亮
- Total Pages
  520
- Publisher
  学術図書出版社
- ISBN
  9784780607147
- Data Source
  KAKENHI-PROJECT-19K20365
[Journal Article] Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion2020
- Author(s)
  Terada Yu、Obuchi Tomoyuki、Isomura Takuya、Kabashima Yoshiyuki
- Journal Title
  
  Neural Computation
  
  Volume: 32 Issue: 11 Pages: 2187-2211
- DOI
  10.1162/neco_a_01324
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11463, KAKENHI-PROJECT-19K20365, KAKENHI-PROJECT-17H00764, KAKENHI-PROJECT-20H00620
[Journal Article] Linear response theory for coupled phase oscillators with general coupling functions2020
- Author(s)
  Y. Terada and Y. Y. Yamaguchi
- Journal Title
  
  Journal of Physics A: Mathematical and Theoretical
  
  Volume: 53 Issue: 4 Pages: 044001-044001
- DOI
  10.1088/1751-8121/ab5eaf
- NAID
  120006778256
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K05472, KAKENHI-PROJECT-19K20365
[Journal Article] Objective and efficient inference for couplings in neuronal network2019
- Author(s)
  Terada Yu、Obuchi Tomoyuki、Isomura Takuya、Kabashima Yoshiyuki
- Journal Title
  
  Journal of Statistical Mechanics: Theory and Experiment
  
  Volume: 2019 Issue: 12 Pages: 124010-124010
- DOI
  10.1088/1742-5468/ab3219
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20365, KAKENHI-PROJECT-17H00764
[Presentation] Stable coding in gated recurrent neural networks2023
- Author(s)
  Yu Terada, Johnatan Aljadeff
- Organizer
  COSYNE 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20365
[Presentation] 確率計算におけるカオス的な神経活動の役割2022
- Author(s)
  寺田裕，豊泉太郎
- Organizer
  NEURO 2022
- Data Source
  KAKENHI-PROJECT-19K20365
[Presentation] Chaotic neural dynamics facilitate representations for probabilistic computation through their intrinsic variability,2022
- Author(s)
  Yu Terada, Taro Toyoizumi
- Organizer
  Neuroscience 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20365
[Presentation] 多点同時計測データからの結合の統計的推定法と神経データへの適用2021
- Author(s)
  寺田裕
- Organizer
  第13回数理モデリング研究会 on Zoom: Workshop on multitrack event-trains in neural, social, seismological, and financial data
- Invited
- Data Source
  KAKENHI-PROJECT-19K20365
[Presentation] 決定論的な神経ゆらぎを用いて確率的計算を行う神経回路網モデル2021
- Author(s)
  寺田裕，豊泉太郎
- Organizer
  日本物理学会第76回年次大会
- Data Source
  KAKENHI-PROJECT-19K20365
[Presentation] ニューラルネットにおける短期記憶の1ビット圧縮センシングによる想起2021
- Author(s)
  杉崎嵐，寺田裕，小渕智之，樺島祥介
- Organizer
  日本物理学会第76回年次大会
- Data Source
  KAKENHI-PROJECT-19K20365
[Presentation] 内部ダイナミクスを探索に用いて学習を行うリカレントニューラルネットワーク2020
- Author(s)
  寺田裕，豊泉太郎
- Organizer
  日本物理学会第75回年次大会
- Data Source
  KAKENHI-PROJECT-19K20365
[Presentation] Objective and efficient inference for couplings in neuronal networks2019
- Author(s)
  Terada Yu、Obuchi Tomoyuki、Isomura Takuya、Kabashima Yoshiyuki
- Organizer
  Statistical Physics and Neural Computation (SPNC-2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20365
[Presentation] Objective and efficient inference for couplings in neuronal networks2019
- Author(s)
  Terada Yu、Obuchi Tomoyuki、Isomura Takuya、Kabashima Yoshiyuki
- Organizer
  40 years of Replica Symmetry Breaking (RSB40)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20365

1. 小渕智之

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
2. 山口義幸

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Terada Yu 寺田 裕

Research Projects

Research Products

Co-Researchers

Theoretical research on spatiotemporal information processing in the brainPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Book] ニューラルネットワークとディープラーニング2022

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Linear response theory for coupled phase oscillators with general coupling functions2020

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] Objective and efficient inference for couplings in neuronal network2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] Stable coding in gated recurrent neural networks2023

Author(s)

Organizer

Data Source

[Presentation] 確率計算におけるカオス的な神経活動の役割2022

Author(s)

Organizer

Data Source

[Presentation] Chaotic neural dynamics facilitate representations for probabilistic computation through their intrinsic variability,2022

Author(s)

Organizer

Data Source

[Presentation] 多点同時計測データからの結合の統計的推定法と神経データへの適用2021

Author(s)

Organizer

Data Source

[Presentation] 決定論的な神経ゆらぎを用いて確率的計算を行う神経回路網モデル2021

Author(s)

Organizer

Data Source

[Presentation] ニューラルネットにおける短期記憶の1ビット圧縮センシングによる想起2021

Author(s)

Organizer

Data Source

[Presentation] 内部ダイナミクスを探索に用いて学習を行うリカレントニューラルネットワーク2020

Author(s)

Organizer

Data Source

[Presentation] Objective and efficient inference for couplings in neuronal networks2019

Author(s)

Organizer

Data Source

[Presentation] Objective and efficient inference for couplings in neuronal networks2019

Author(s)

Organizer

Data Source

Terada Yu 寺田裕