Shimokawa Tetsuya

シモカワテツヤ | Shimokawa Tetsuya

Affiliation and department：

Research field (1)： Applied mathematics and statistics

Papers (33)：

Madoka Yamashita, Tetsuya Shimokawa, Rumi Tanemura. Age-related learning difficulty through trial-and-error method associated with decreased default mode network integration in healthy middle-aged adults. Journal of clinical and experimental neuropsychology. 2023. 1-10
Tatsuya Otoshi, Masayuki Murata, Hideyuki Shimonishi, Tetsuya Shimokawa. Distributed Timeslot Allocation in mMTC Network by Magnitude-Sensitive Bayesian Attractor Model. 2023 IEEE 9th International Conference on Network Softwarization: Boosting Future Networks through Advanced Softwarization, NetSoft 2023 - Proceedings. 2023. 212-216
Tatsuya Otoshi, Masayuki Murata, Hideyuki Shimonishi, Tetsuya Shimokawa. Hierarchical Bayesian Attractor Model for Dynamic Task Allocation in Edge-Cloud Computing. 2023 International Conference on Computing, Networking and Communications, ICNC 2023. 2023. 12-18
Madoka Yamashita, Tetsuya Shimokawa, Shun Takahashi, Shinichi Yamada, Masaki Terada, Satoshi Ukai, Rumi Tanemura. Cognitive functions relating to aberrant interactions between task-positive and task-negative networks: Resting fMRI study of patients with schizophrenia. Applied Neuropsychology: Adult. 2022. 29. 5. 1122-1130
Madoka Yamashita, Tetsuya Shimokawa, Rumi Tanemura. Default mode network-associated intrinsic connectivity relates to individual learnability differences in errorless and trial-and-error learning. Applied Neuropsychology: Adult. 2022. 1-9

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MISC (29)：

根石淳生, Khoo Hui Ming, 藤田祐也, 谷直樹, 下川哲也, 有澤亜津子, 加藤弘樹, 押野悟, 吉岡芳親, 貴島晴彦. 脳波fMRI同時計測とFDG-PETの所見の比較検討. てんかん研究. 2021. 39. 2. 325-325
Khoo Hui Ming, 藤田祐也, 谷直樹, 下川哲也, 有澤亜津子, 押野悟, 吉岡芳親, 貴島晴彦. 外科的治療適応の検討する過程における脳波fMRI同時計測のパフォーマンス. てんかん研究. 2021. 39. 2. 318-318
Huiming Khoo, 下川哲也, 谷直樹, 山本祥太, 西麻哉, 藤田祐也, 押野悟, 貴島晴彦. EEG-fMRI同時測定にて描出した非内側側頭葉てんかん症例における神経回路ネットワーク(Epileptic network depicted using simultaneous EEG-fMRI in a case of non-mesial temporal lobe epilepsy). てんかん研究. 2019. 37. 2. 514-514
山下円香, 下川哲也, 種村留美. 安静時fMRIデータを用いた機能的ネットワーク活動とerrorless/errorful learningスコアとの関連. 高次脳機能研究. 2019. 39. 1. 99-100
山下円香, 下川哲也, Ferdinand Peper, 種村留美. fMRIを用いたerrorless learningとerrorful learningの機能的ネットワーク比較. 高次脳機能研究. 2017. 37. 1. 95-96

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Works (3)：

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