[Click the blue text in the table for more information]
9:30 - 9:45, Dec.21
Shun-ichi AMARI (RIKEN Center for Brain Science)
Keiji TANAKA (RIKEN Center for Brain Science)
Taishin NOMURA (Osaka University)
KL-1 9:45 - 10:25 Elissa J. CHESLER (The Jackson Laboratory, USA)
'Finding relations among genes, brain and behavior in heterogeneous functional genomics data'
KL-2 10:25 - 11:05 Kozo KAIBUCHI (Nagoya University, JP)
'KANPHOS (Kinase-Associated Neural PHOspho-Signaling), a comprehensive database for specific substrates of kinases'
KL-3 9:30 - 10:10 Norio KOBAYASHI (RIKEN ISC, JP)
'Novel trends in research data utilisation based on open science'
KL-4 10:10 - 10:50 Benigno URIA (Google DeepMind, UK)
'Vector-based Navigation using Grid-like Representations in Artificial Agents'
Organized by Tsuyoshi MIYAKAWA, Akira SATO
OSⅠ-1 11:25 - 11:50 Tsuyoshi MIYAKAWA (Fujita Health University)
'Endophenotype in the brain: A key concept for understanding the relationships between genes and behavior'
OSⅠ-2 11:50 - 12:15 Akira SATO (Tokyo University of Science)
'Brain Transcriptome Database (BrainTx)'
OSⅠ-3 12:15 - 12:40 Hiroshi MASUYA (RIKEN BRC)
'RDF-based data integration of mouse phenotype'
Organized by Junichiro YOSHIMOTO and Yoshiyuki ASAI
OSⅡ-1 15:10 - 15:30 Junichiro YOSHIMOTO (Nara Institute of Science and Technolgy)
'Potential of KANPHOS Platform for drug discovery'
OSⅡ-2 15:30 - 15:55 Samik GHOSH (Systems Biology Institute), Yoshiyuki ASAI (Yamaguchi University)
'Towards creating an engine of scientific discovery'
OSⅡ-3 15:55 - 16:20 Masahito OHUE (School of Computing, Tokyo Institute of Technology)
'High performance computing drug discovery- Toward Targeting Protein-Protein Interactions'
Organized by Yoko YAMAGUCHI
OSⅢ-1 16:40 - 16:55 Yoko YAMAGUCHI (RIKEN)
'Neuroinformatics and FAIR in INCF Japan Node'
OSⅢ-2 16:55 - 17:10 Yuko OKAMURA-OHO (Jissen Woman's University)
'ViBrism DB: data and platforms'
OSⅢ-3 17:10 - 17:20 Shinobu MASAKI (Brain Activity Imaging Center, ATR Promotions, Inc.)
'Recent Activities of NeuroImaging-Platform'
OSⅢ-4 17:20 - 17:35 Taishin NOMURA (Osaka University)
'Open and sustainable repositories for sharing data and models in neuroscience are indispensable to deepening understanding dynamic information processing in the brain
Discussion 17:35 - 17:40
Organized by Shinji KAKEI, Alexander WOODWARD and Yoshinobu KANO
OSⅣ-1 11:10 - 11:25 Shinji KAKEI (Tokyo Metropolitan Institute of Medical Science)
’Big data in neuroscience’
OSⅣ-2 11: 25 - 11:40 Alexander WOODWARD (RIKEN CBS)
’Automated Connectomics Pipelines on HPCs using A.I and Computer Vision'
OSⅣ-3 11:40 - 11: 55 Yoshinobu KANO (Shizuoka University)
’Natural Language Processing, Neuroscience, and “AI”’
Panel Discussion 11:55 - 12:10
PS-1 Hiroshi OKAMOTO (Dwango Artificial Intelligence Laboratory) et. al.
'Connectome informatics: Reverse engineering of whole brain networks'
PS-2 Akira SATO (Tokyo University of Science) et. al.
'Current activities of BrainTx platform - Brain transcriptome and Neural gene ontology projects'
PS-3 Morteza HEIDARINEJAD (Computational Engineering Application Unit, RIKEN) et. al.
'Development of simulation platform for multiple cortico-thalamic circuits using pyNEST'
PS-4 Yuka UENOHARA (University of Hyogo) et. al.
'Construction of the honeybee standard brain for primary auditory center'
PS-5 Hidetoshi URAKUBO (Kyoto University) et. al.
'Development of a unified environment for automated neuronal network reconstruction from EM images'
PS-6 Ken NAKAE (Kyoto University) et. al.
'Individuality of macro-scale connectome of common marmoset with global fiber reconstruction by diffusion MRI'
PS-7 Shinji KAKEI (Tokyo Metropolitan Institute of Medical Science)
'Issues in evaluation of movement disorders'
PS-8 Rui GONG (RIKEN CBS) et. al.
'The Brain/MINDS Cortical Flat Map for Visualize Neuroimaging Data'
PS-9 Hiromichi TSUKADA (Okinawa Institute of Science and Technology Graduate University) et. al.
'Analysis of Local Excitatory-Inhibitory Balance using Whole-Brain Model based on the Common Marmoset MRI Data'
PS-10 Henrik SKIBBE (Kyoto University) et. al.
'MarmU-Net: Axon tracer signal detection using an artificial neural network'
PS-11 Yasutaka FURUSHO (Nara Institute of Science and Technology) et. al.
'Non-asymptotic analysis of Fisher information matrices of Multi-layer perceptron, ResNet, and Batch-normalization'
PS-12 Akihiro NAKAMURA (Osaka University) et. al.
'Postural and beta-band electroencephalogram responses to floor-surface perturbations during human quiet standing'
PS-13 Takeru HONDA (Tokyo Metropolitan Institute of Medical Science) et. al.
'New release of cerebellar platform'
PS-14 Masahide MAEDA (RIKEN CBS) et. al.
'Brain/MINDS Database System Design for Large-Scale Dataset Registration, Sharing and Publication'
PS-15 Carlos GUTIERREZ (Okinawa Institute of Science and Technology Graduate University) et. al.
’Spiking neural network model of the basal ganglia with realistic topological organization'
PS-16 Hayeong LEE (The University of Tokyo) et. al.
'The Conductance-based model for neurons in the olfactory circuit of Bombyx mori'
PS-17 Takahiro AIZAWA (Dwango Artificial Intelligence Laboratory) et. al.
'Construction of functional hypothesis about brain local circuit by integrating neuroscientific knowledge as a framework'
PS-18 Hayato TSUNODA (The University of Tokyo) et. al.
'Creating real scale simulation model of optic lobe based on Drosophila’s neural information'
PS-19 Jo TAKANO (Kobe University) et. al.
'Simulation for Simplified Neural Network Model of Ultrastructure within an Olfactory Sensory Unit for Nestmate and Non-nestmate Discrimination in the Japanese Carpenter Ant'
PS-20 Zhe SUN (RIKEN ISC) et. al.
'Spatial property of excitation and inhibition in a spatial neural network of the rodent primary somatosensory cortex'
12:10 - 12:20, Dec. 22
Shiro USUI (Professor Emeritus, Toyohashi University of Technology)
Yoko YAMAGUCHI (RIKEN Center for Brain Science)
13:30 - 16:30, Dec. 22
Lecturer: Hiroaki WAGATSUMA (Kyusyu Institute of Technology)
Overview: This tutorial will give a short lecture for the standardization of multi-time scale (different sampling rate) timeseries obtained in the simltaneous recording, which is expected to add annotations to data epoches by usuing with meta-data descriptions. Participants exprience and learn
i) the procedure of the data conversion of the human EEG data (.mat) and Eye-Tracking data (.json) to a single package of the standard format based on NIX (.nix) with given annotations on odML,
ii) programming to extract a specific target data of interest (NIX data access method) and visualize it in plot,
iii) data analysis of the target data, generation of a new meta data label depending on the interest and re-embed the new metadata into the NIX format data.
The data and sample codes will be provided in the session. MATLAB (nix-mx) and Java (nix-java) are also available in the system; however we are using the python software tools in the tutorial.
A limit in the number of participants: possibly 20 (30 as maximum)
Requirements of participants:
(windows PC is acceptable under the following condition.)
The simplest way to install NIXPY is from PyPI using pip, like
pip install nixio #python2
pip3 install nixio #python3
(*) Neuroscience information exchange format - NIX:
-data model for storing fully annotated datasets
NIX-odML Global Workshop & Hackathon 2017 in Japan (with References more in the site) https://dynamicbrain.neuroinf.jp/modules/hackathon/nix-odml2017_eng.html
Lecturers: Hidetoshi IKENO (University of Hyogo) and Tomoki KAZAWA (The University of Tokyo)
Overview: This tutorial will give basic skills for the image processing using the confocal image data for constructing a standard brain map of small insect brain. Its applications will be also presented. We are using several software tools for the image processing and visualization.
A limit in the number of participants: 10
Requirements of participants:
Note: The tutorial will be conducted in Japanese and used a Japanese text book “昆虫の脳をつくる”. We will prepare materials based on the book for the day.
Lectures: Keiichiro INAGAKI (Chubu University), Takayuki KANNON (Kanazawa University) and Yoshihiro OKUMURA (RIKEN CBS)
Overview: This tutorial will give a short lecture for collaborative large-scale modeling and a hands-on using computer cluster. In the lecture, we/participants parallelize the several program code for brain system, connecting them using neuroinformatics tools, and simulate as one large-scale model in the computer cluster.
A limit in the number of participants: We expect 5-8 participants. If we have received more applications that expected, we will select the participants based on background and experience.
Requirements of participants:
Note: Part of lecture might be performed in Japanese.