公募班

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

Leader

研究代表者

Yasushi Iwatani,Hirosaki University
岩谷靖,弘前大学
Member

研究分担者

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

Leader

研究代表者

Hiroki Kobayashi, The University of Tokyo
小林 博樹(東京大学)
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

Leader

研究代表者

Shigeru Yamamoto, Kanazawa University
小山本 茂,金沢大学
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)
Member

研究分担者

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
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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)
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

Leader

研究代表者

Hitoshi Habe, Kindai University
波部 斉(近畿大学理)
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
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

Leader

研究代表者

Shinsuke Koike,Tokyo University of Agriculture and Technology
小池 伸介(東京農工大学)
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”

Leader

研究代表者

Michiyo Kinoshita,SOKENDAI
木下 充代(総合研究大学院大学)
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

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

Leader

研究代表者

Takahisa Miyatake, Okayama University
宮竹 貴久(岡山大学)
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

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

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
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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

Leader

研究代表者

Takuma Kitanishi, Osaka City University
北西卓磨, 大阪市立大学
Member

研究分担者

Collaborator

連携研究者

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)
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
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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

Leader

研究代表者

Masaaki Sato, RIKEN Brain Science Institute
佐藤 正晃(理化学研究所)
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)
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.