A01
| Title
研究課題名 |
Development of an endless and continuous plane for behavior observation of ground-hugging animals
地表徘徊性動物のナビゲーション様式の観察のための無限平面装置の開発 |
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|---|---|---|
| Leader
研究代表者 |
Yasushi Iwatani，Hirosaki University 岩谷靖，弘前大学 |
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| Member
研究分担者 |
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| Collaborator
連携研究者 |
Atsushi Honma，University of the Ryukyus 本間淳，琉球大学 |
|
| Project
研究内容 |
This research develops an endless and continuous plane with no grooves in joints and no slopes. The endless and continuous plane is useful for behavior observation of free locomotion with long distances and responses to certain stimuli of ground-hugging animals. | |
A01
| Title
研究課題名 |
Animal-Touch’n Go (ATG) for Wildlife-Borne Devices (WBD)
どうぶつタッチ＆ゴー：ＮＦＣタグ装着の野生動物を誘き出してピッと記録回収する機構 |
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|---|---|---|
| Leader
研究代表者 |
Hiroki Kobayashi, The University of Tokyo 小林 博樹（東京大学） |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Hiromi Kudo, The University of Tokyo 工藤宏美, 東京大学 |
|
| Project
研究内容 |
This study aims to develop a remote interactive system to promote the application of a WBD to ATG action at a designated location near a monitoring station. In doing so, the WBD and station come into close proximity which permits power-efficient-contactless data communication. | |
A01
| Title
研究課題名 |
AOptimal Design and Real-Time Optimization of Vibrational Power Generation System Enabling Long-Life Bio-Logging
長寿命バイオロギングを可能にする振動発電システムの最適設計と実時間最適化 |
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|---|---|---|
| Leader
研究代表者 |
Shigeru Yamamoto, Kanazawa University 山本 茂，金沢大学 |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Toshiyuki Ueno, Kanazawa University 上野敏幸，金沢大学 |
|
| Project
研究内容 |
To achieve life prolongation of bio-loging, it is expected to use vibration power generation utilizing the vibration generated by the animals. However, since the frequency of the vibration is not constant, there is a difficulty that efficient vibrational power generation cannot be expected. In this research, we will develop a vibrational power generation system to optimize mechanical and electrical components to cope with variation of frequency. | |
A02
| Title
研究課題名 |
Computational principles underlying hippocampal place cells
低消費電力リアルタイム画像認識実現のためのモバイル深層学習技術 |
|
|---|---|---|
| Leader
研究代表者 |
Keiji Yanai, The University of Electro-Communications, Tokyo 柳井 啓司（電気通信大学） |
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| Member
研究分担者 |
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| Collaborator
連携研究者 |
||
| Project
研究内容 |
In this project, we are studying effective and efficient use of deep learning methods on small mobile devices for animal logging. Our main objective is implementing deep convolutional neural networks for real-time image recognition on animal logging devices, and running DCNNs on the devices mounted on wild animals. | |
A02
<
| Title
研究課題名 |
Extracting a process of obtaining route information in a situation without locality
土地鑑のない状況における経路情報収集過程の抽出 |
|
|---|---|---|
| Leader
研究代表者 |
Kazuya Murao, Ritsumeikan University 村尾 和哉（立命館大学） |
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| Member
研究分担者 |
||
Collaborator
連携研究者
Tsutomu Terada, Kobe University
寺田 努, 神戸大学
Project
研究内容
本研究では，ナビゲーションの解明・理解を最終目標として，土地鑑の時系列変化および得られた経路情報を抽出し，経路情報のナビゲーションへの寄与度を推定するためのデータ収集や解析を行うシステムの構築を目標とする．
A02
| Title
研究課題名 |
Large-Scale Video Dataset for Interaction Analysis in Fish School
大規模群泳行動データセットとインタラクション解析手法の構築 |
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|---|---|---|
| Leader
研究代表者 |
Hitoshi Habe, Kindai University 波部 斉（近畿大学理） |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Hiroaki Kawashima, Kyoto University 川嶋宏彰, 京都大学 |
|
| Project
研究内容 |
Analyzing large-scale fish schools has been important in various fields of natural science. As a step to fully understand the mechanism of fish schools, we will create a large-scale dataset of densely swimming fish and propose a video processing method for detecting and tracking individual fish in fish schools. | |
A02
| Title
研究課題名 |
Crowd Navigation under Congested Environment
超混雑環境における群集ナビゲーションに関する研究 |
|
|---|---|---|
| Leader
研究代表者 |
Masaki Onishi, National Institute of Advanced Industrial Science and Technology (AIST) 大西正輝, 産業技術総合研究所 |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Tomohisa Yamashita, Hokkaido University 山下倫央, 北海道大学 |
|
| Project
研究内容 |
To achieve life prolongation of bio-loging, it is expected to use vibration power generation utilizing the vibration generated by the animals. However, since the frequency of the vibration is not constant, there is a difficulty that efficient vibrational power generation cannot be expected. In this research, we will develop a vibrational power generation system to optimize mechanical and electrical components to cope with variation of frequency. | |
B01
| Title
研究課題名 |
Movement patterns of Asiatic black bears in fluctuating environment varies with environmental and individual factors
内的要因および外的要因がツキノワグマのナビゲーションに及ぼす影響評価 |
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|---|---|---|
| Leader
研究代表者 |
Shinsuke Koike，Tokyo University of Agriculture and Technology 小池 伸介（東京農工大学） |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Koji Yamazaki，Tokyo University of Agriculture 山﨑晃司，東京農業大学 |
|
| Project
研究内容 |
We analyzed movement paths of Asiatic black bear at the individual level and how external factors (i.e., seasonal and annual change in food availability) and internal state of the individual (i.e., sex) affects their movement pattern. | |
B01
| Title
研究課題名 |
Ecological approaches in behavioural neuroscience about seasonal migration in the chestnut tiger
アサギマダラにおける季節性ナビゲーションの神経行動学“生態学的アプローチ” |
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|---|---|---|
| Leader
研究代表者 |
Michiyo Kinoshita，SOKENDAI 木下 充代（総合研究大学院大学） |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Itaru Kanazawa，Osaka Museum of Natural History 金澤至，大阪自然史博物館 |
|
| Project
研究内容 |
The chestnut tiger is a migratory butterfly traveling more than 3000 km in spring and autumn. To understand how the butterflies orient correctly during the migration, we investigate relationship among innate preference of flight orientation, light information over the sky and their retinal organization. | |
B01
| Title
研究課題名 |
How do the honeybees select an optimal strategy for navigation?
昆虫のナビゲーションにおける最適戦略の決定メカニズム |
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|---|---|---|
| Leader
研究代表者 |
Midori Sakura, Kobe University 佐倉緑, 神戸大学 |
|
| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Ryuichi Okada, University of Hyogo 岡田龍一, 兵庫県立大学 |
|
| Project
研究内容 |
Most animals utilize two types of navigational strategies, “cognitive map” and “path integration”. As a model system, using navigating honeybees in a virtual-reality flight simulator, we try to clarify how they select either of these two strategies under different visual environments. | |
B01
| Title
研究課題名 |
Genome behavioral ecology for controlling navigation ability
ナビゲーション能力を制御するゲノム行動生態学的研究 |
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|---|---|---|
| Leader
研究代表者 |
Takahisa Miyatake, Okayama University 宮竹 貴久（岡山大学） |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Hiromitsu Uchiyama, Tokyo University of Agricultural 内山博允, 東京農業大学 |
|
| Project
研究内容 |
全ゲノム配列が明らかになっている甲虫であるコクヌストモドキの歩行活動量に対して二方向に人為分断選択をかけた。これらの系統内で次世代シーケンサーによりゲノムを比較し、工学機器により歩行パタンを解析し、光など有意オン物質へのナビゲーション能力との関係を調べる。 | |
B01
| Title
研究課題名 |
Constructing a navigation model of human and dog’s mixed population
ヒトとイヌの混合集団によるナビゲーションモデルの構築 |
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|---|---|---|
| Leader
研究代表者 |
Miho Nagasawa, Azabu University 永澤美保，麻布大学 |
|
| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Takefumi Kikusui, Azabu University 菊水健史，麻布大学 |
|
| Project
研究内容 |
We aim to investigate how dogs’ social structure and function during migration are reconstructed by the existence of humans. We will also investigate whether the endocrine factors of the group members affect their social structure. | |
B01
| Title
研究課題名 |
Navigation study of flying seabirds during long distance migration
南極から北極まで渡る飛翔性海鳥のナビゲーション行動の研究 |
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|---|---|---|
| Leader
研究代表者 |
Akinori Takahashi, National Institute of Polar Research 高橋 晃周（国立極地研究所） |
|
| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Taiki Adachi, University of Tokyo 安達大輝, 東京大学 |
|
| Project
研究内容 |
We will track the long distance migration of seabirds breeding in Australia (short-tailed shearwaters) and in Antarctica (south-polar skua) with GPS data loggers to obtain insights about their navigation ability. | |
B02
<
Title
研究課題名
Simultaneous measurement of whole-brain activity and behavior toward comprehensive understanding of salt chemotaxis of C. elegans
線虫の塩走性行動の包括的理解に向けた全中枢神経活動と行動の高精度同時計測
Leader
研究代表者
Yu Toyoshima, Tokyo University
豊島 有（東京大学）
Member
研究分担者
Collaborator
連携研究者
Yuichi Iino, Tokyo University
飯野雄一, 東京大学
Project
研究内容
Measuring whole-brain activities of behaving animals will reveal the information processing required for the behavior. In this project we would like to gain insight into the mechanism of information processing for salt chemotaxis of C. elegans by using various techniques including whole-brain activity imaging and mathematical modeling.
B02
| Title
研究課題名 |
Computational principles underlying hippocampal place cells
海馬の場所細胞を生成する神経演算原理の解明 |
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|---|---|---|
| Leader
研究代表者 |
Takuma Kitanishi, Osaka City University 北西卓磨, 大阪市立大学 |
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| Member
研究分担者 |
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| Collaborator
連携研究者 |
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| Project
研究内容 |
Hippocampal place cells are thought to be essential for mammalian navigation. Despite the decades of research, the network mechanisms generating place cells remain elusive. Using large-scale neural recordings from freely behaving rats, we will monitor ~10,000 synaptic interactions among ~100 hippocampal neurons, which will uncover the computational principles generating place cell activity. | |
B02
| Title
研究課題名 |
Navigation in zebrafish feeding behavior
ゼブラフィッシュ摂食行動におけるナビゲーション戦略 |
|
|---|---|---|
| Leader
研究代表者 |
Akira Muto, National Institute of Genetics (NIG) 武藤 彩（国立遺伝学研究所） |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Koichi Kawakami, National Institute of Genetics (NIG) 川上浩一, 国立遺伝学研究所 |
|
| Project
研究内容 |
Foraging behavior in zebrafish is mostly vision-dependent. We investigate how visually guided, goal-driven behavior is accomplished for successful prey capture. We use behavioral recording of zebrafish larvae, calcium imaging for visualization of neuronal activity, and virtual reality system. | |
B02
<
| Title
研究課題名 |
Elucidation of the neural basis of social navigation in mice
マウスの社会性ナビゲーションの神経基盤の解明 |
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|---|---|---|
| Leader
研究代表者 |
Masaaki Sato, RIKEN Brain Science Institute 佐藤 正晃（理化学研究所） |
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| Member
研究分担者 |
||
Collaborator
連携研究者
Project
研究内容
Navigation associated with social interaction is critical for the survival of individuals and species. We aim to elucidate the neural basis of this behavior with two-photon calcium imaging of head-fixed mice performing a novel virtual social interaction task.
B02
| 研究課題名 | Ｒｅｔｒｏｓｐｌｅｎｉａｌ／Ｈｉｐｐｏｃａｍｐａｌ Ｃｉｒｃｕｉｔ Ｃｏｎｔｒｏ | |
|---|---|---|
| 研究代表者 | ＭｃＨｕｇｈ Ｔｈｏｍａｓ（理化学研究所） | |
| 研究分担者 | ||
| 連携研究者 | ||
| 研究内容 | ||
B02
| Title
研究課題名 |
Neuronal circuits that control prey capture movements
ターゲット捕獲運動における、運動系神経回路動作様式の解明 |
|
|---|---|---|
| Leader
研究代表者 |
Shin-ichi Higashijima, National Institutes of Natural Sciences 東島 眞一（自然科学研究機構） |
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| Member
研究分担者 |
||
| Collaborator
連携研究者 |
Eiji Watanabe, National Institutes of Natural Sciences | |
| Project
研究内容 |
We aim to reveal neuronal circuits that control prey capture movements. In particular, we are trying to reveal neuronal circuits that control the first phase of the behavior: orienting the animal’s body toward the target. | |