2. お知らせ
  3. 公募要領





研究項目A01 脳神経系の細胞構築や細胞・分子の機能、回路動作をイメージング、電子顕微鏡計測、または電気計測し、得られた大量データから情報動態を解読、または形態を再構成する課題を公募します。領域内共有データに新規の解析手法・数理理論を適用する情報・数理系の提案も歓迎します。
研究項目A02 脳情報動態に関与する神経細胞・グリア・分子の機能動態計測やその回路・発生機構の解明をめざす課題を公募します。細胞標識法や細胞機能操作プローブ、ゲノム編集技術などの遺伝子操作技術に関する課題も歓迎します
研究項目A03 ヒトでの非侵襲的脳情報動態計測を行い、領野間や個体間のネットワーク、社会性を解明する課題、モデル動物での脳情報ネットワーク構築を目指す課題、精神疾患を分子-細胞-回路での情報ネットワーク破綻と捉える課題を歓迎します。また、領野間・個体間ネットワークを通じた非同期並列処理などの脳情報動態に触発された新規の情報処理方式、ロボティクス、またハードウェアなどに繋がるアルゴリズム探索やソフトウエア開発等の情報学・工学課題を公募します。

Call for application

The brain acquires information of the external world as multimodal sensory inputs and performs an enormous amount of information processing within and across areas, while compressing and storing it by appropriately transferring it between layers through parallel mechanisms. A central issue of today's neurobiology is to elucidate and reproduce the substance of this "brain information dynamics" using state-of-the-art techniques of measurement and manipulation and to decipher behavioral principles that rely on circuit-based mechanisms of memory, prediction, and decision-making. The aim of this Consortium Research Project is to establish a novel multidisciplinary research field, “brain information dynamics”, which encompasses a wide range of challenges from high-definition cytoarchitecture reconstruction to mapping of circuit models that define information transfer and storage in the brain, high-resolution measurement and manipulation of multi-areal network dynamics, and verification of computational models and theories leading to closed-loop control of recursive networks.

Research Group A01
Brain information decoding
We seek proposals that will decipher basic circuit features related to higher brain function: basic cell type, connection motif, I/O conversion, and synaptic plasticity. Proposals that aim to apply novel computational approaches to decoding the brain information from massive experimental data are also welcome.
Research Group A02
Brain information recording
By performing functional cellular and circuit recordings through imaging and electrophysiology across a large number of cells, we will identify how information is expressed, transferred and converted in a variety of cell ensembles that communicate between multiple areas. We further call for proposals that will develop innovative methods for the brain information recording taking advantage of state-of-the-art cell labeling, cell manipulation, and genome-editing technologies.
Research Group A03
Brain information network construction
By analyzing the fMRI signal from the human brain, we aim to tease apart how the brain higher-order functions emerge from communication between different cortical areas. We will consider proposals at the intersection of information science and bioengineering that will develop brain-inspired computing algorithms to be implemented in neural-circuit type hardware.

We seek for proposals that facilitate inter-group cooperation to achieve breakthroughs, and in particular, we encourage ambitious proposals from young and female researchers. For details of the research project, please refer to our website.

Research Group Upper Limit of
Annual Budget
(Million yen)
Number of research projects
scheduled to be selected
A01 Brain information decoding 3 20
A02 Brain information recording
A03 Brain information network construction