AINI 2017      TOP      MESSAGE      COMMITTEE      CFP & REGISTRATION      PROGRAM      PARTICIPANTS INFO  
 

  Program at a Glance

For details of each session, please click the Session title in the table.

November 20 November 21
From To Session Place Registration/Poster
9:00       Registration Open
9:30 9:40 Opening Remarks Okochi Hall Poster Posting
9:40 10:20 Keynote Lecture Ⅰ
10:20 11:00 Keynote Lecture Ⅱ
11:00 11:20 Break  
11:20 12:20

Organized Session IA

Okochi Hall  
12:20 12:30 Group Photo
12:30 13:00 Lunch  
13:00 14:40 Poster Session Room 123
13:40 14:10 Poster Core Ⅰ
14:10 14:40 Poster Core Ⅱ
14:40 14:50 Break  
14:50 16:10

Organized Session Ⅱ

Okochi Hall
16:10 16:20 Break  
16:20 17:50

Organized Session Ⅲ

Okochi Hall
17:50 18:00 Break  
18:00 18:50

Organized Session IB

Okochi Hall
19:00 20:30 Social Gathering Hirosawa Club
From To Session Place Registration/Poster
8:30       Registration Open
Poster Removal
9:00 9:40 Keynote Lecture Ⅲ Okochi Hall

 

 

 

 

 

 

9:40 10:20 Keynote Lecture Ⅳ
10:20 10:40 Break  
10:40 12:10

Organized Session Ⅳ

Okochi Hall
12:10 12:20 Closing Remarks
 
13:10 17:00

Tutorial

Session 1

BSI Central
S505

Tutorial

Session 2

BSI Central
S305

 

Online Abstracts     

Please visit AINI2017 Abstract page by clicking here.

For online Abstract journal 'Advances in Neuroinformatics V' with doi, please click here.

Program

Opening Remarks

November 20 (Monday) 9:30-09:40

Ryoji SUZUKI        Chair of AINI 2017

Shu-ichi AMARI     Senior advisor, RIKEN Brain Science Institute

Closing Remarks

November 21 (Tuesday) 12:10-12:20

Ryoji SUZUKI        Chair of AINI 2017

 

Keynote Lectures    back to page top

November 20 (Monday)
 
9:40-10:20 (A)  

KL-1

Mitsuo KAWATO

Director, ATR Fellow  ATR Brain Information Communication Research Laboratory Group

'Decoded neurofeedback as a causal and computational tool for neuroscience'
10:20-11:00  

KL-2

 

Jean-Baptiste POLINE

Chair of INCF Training and Education Committee,  University of California, Berkeley; McGill University, Montreal Neurological Institute

'Responses to the (life) science reproducibility crisis: evolution of training and publishing in neuroinformatics for a more efficient research'
November 21 (Tuesday)
 
9:00-9:40  

KL-3

Ichiro TSUDA

Professor, Chubu University Academy of Emerging Sciences

'Computational theory for constrained self-organization in neural systems and its applications'
9:40-10:20  

KL-4

 

Viktor JIRSA

Director, INS Aix-Marseille University

'Translational Neuroscience: from bifurcations to personalized medicine'

Organized Session I   The future of neuroinformatics education    back to page top

Organizers

  Tomoyuki HIGUCHI The Institute of Statistical Mathematics, Research Organization of Information Systems
  Takeru HONDA Tokyo Metropolitan Institute of Medical Science
  Yukiko NOTA ATR-Promotions
  Junichiro YOSHIMOTO Nara Institute of Science and Technology
 
November 20 (Monday)
 
11:20-11:50 (A)  

OSⅠ-1

Yasuhiro OKADA
(invited)

Emeritus Professor, Kobe University

' ‘What is information?’- in relation to the modern history of life sciences '
11:50-12:20 (A)  

OSⅠ-2

 

Ryo YOSHIDA
(invited)

Associate Professor, The Institute of Statistical Mathematics

'Materials Informatics: An Emerging Interdisciplinary Field of Materials Science'
18:00-18:30 (B)  

OSⅠ-3

 

Shin ISHII
(invited)

Professor, Graduate School of Informatics, Kyoto University

'Artificial intelligence and neuroinformatics'
18:30-18:50 (B)  
  Panel discussion Panelist: Ryoji SUZUKI, Shun-ichi AMARI, Yaruhiro OKADA, Ryo YOSHIDA, Shin ISHII    Chair: Shiro USUI

Organized Session II    Selected papers     back to page top     

November 20 (Monday)
 
 
14:50-15:03  

OSⅡ-1

 

Hidetoshi IKENO et.al.

 

Professor, University of Hyogo School of Human Science and Environment

'Development of a hypertext tutorial for construction of a standard brain'

15:03-15:16  

OSⅡ-2

 

Tomoki KAZAWA et.al.

Project researcher, Research Center for Advanced Science and Technology, the University of Tokyo

'The experimental-data-driven construction of neural circuit simulation of insect brain using estimations on a single neuron and circuit level'

15:16-15:29  

OSⅡ-3

 

Maximilian SCHMIDT et.al.

 

Research scientist, Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute

'NEST: A mature simulation tool for spiking neuronal networks'

15:29-15:42  

OSⅡ-4

 

Takeru HONDA et.al.

Research scientist, Tokyo Metropolitan Institute of Medical Science

Quantitative Evaluation of Motor Control in Smooth Pursuit Arm Movement on Kinect v2 Sensor
15:42-15:55  

OSⅡ-5

 

Shunji SATOH et.al.

 

Associate professor, Graduate school of informatics and engineering, The University of Electro-Communications

'Visiome data for computational study on the receptive fields of the primary visual cortex'

15:55-16:10  

OSⅡ-6

 

Toshiharu NAKAI et.al.

 

Director, NeuroImaging & Informatics, National Center for Geriatrics & Gerontology

'The INCF Neuroinformatics for Aging Special Interest Group – Cooperation in neuroinformatics to accelerate validation of aging interventions'

Organized Session III    Dynamics of genes expressed in neurons and brain, their associated phenotypes and potential links to neuroinformatics       back to page top

Organizers

  Shinji KONDO Research Organization of Information and Systems, Joint-Support Center for Data Science Research
  Akira SATO Science and Technology, Tokyo University of Science
  Keizo TAKAO University of Toyama
November 20 (Monday)
 
 
16:20-16:40  

OSⅢ-1

 

Masato NIKAIDO
(invited)

Associate Professor, Tokyo Institute of Technology

‘Evolution of V1R pheromone receptor genes in vertebrates: its diversity and generality
16:40-17:00  

OSⅢ-2

 

Yuko Okamura-OHO
(invited)

Professor, Jissen Women’s University

‘Differential and tissue-specific gene expression in mouse brain’
17:00-17:20  

OSⅢ-3

 

Hidenori KIYOSAWA
(invited)

Professor, Chiba Institute of Technology, Department of Life Science

‘Transcriptome dynamics during in vitro neuronal differentiation with allelic distinction'
17:20-17:40  

OSⅢ-4

 

Shinji KONDO
(invited)

Associate Professor, Research Organization of Information and Systems, Joint-Support Center for Data Science Research

Transcriptional dynamics of monoallelically expressed genes during neuronal development of F1-hybrid mice
17:40-17:50  
  Summary  

Organized Session IV    Brain signal: Measurement, data analysis and modeling   back to top

Organizers

  Shinya KURIKI Hokkaido University
  Yoshihide TAMORI NeuroCreative Lab / Artificial Mind Institute
  Ichiro TSUDA Chubu University
November 21 (Tuesday)
 
 
10:40-11:00  

OSⅣ-1

 

Keiichi KITAJO
 

 

Unit Leader, RIKEN BSI-Toyota Collaboration Center

'Unravelling Individual Differences in Human Brain Dynamics'

11:00-11:20  

OSⅣ-2

 

Sunao IWAKI
(invited)

Deputy Director, National Institute of Advanced Industrial Science and Technology (AIST)

'MEG-fMRI multimodal integration to investigate neural dynamics while perceiving 3-D object shape from motion'

11:20-11:40  

OSⅣ-3

 

Mitsuru KIKUCHI
(invited)

Professor, Research Center for Child Mental Development, Kanazawa University

'Challenge to the brain functional measurement during parent-child interaction'
11:40-12:00  

OSⅣ-4

 

Takao NAMIKI
(invited)

Associate Professor, Department of Mathematics, Hokkaido University

‘Mathematical Structures in the Brain Dynamics of Epilepsy’
12:00-12:10    
  Q&A Discussion  
     

Poster Session       back to page top

November 20 (Monday) 13:00-14:40

Core time Ⅰ(Odd Program No.):13:40-14:10
Core time Ⅱ(Even Program No.):14:10-14:40

Dynamics of genes expressed in neurons and brain, their associated phenotypes and potential links to neuroinformatics

PS-1

Akira SATO et.al.

'Brain Transcriptome Database (BrainTx)'

Brain signal: Measurement, data analysis and modeling
 

PS-2

Hirotaka YOSHIDA et.al.

'Development and Aging of Motor Control for Smooth Pursuit Arm Movement'

PS-3

Takumi SASE et.al.

'EEG metastable states in nonlinear human brain dynamics'

PS-4

Carlos Enrique GUTIERREZ et.al.

'Parameters Exploration of DWI-based Global Fiber Tracking with Neuronal Tracer Signal as References'

PS-5

Jonathan Kar-Sing LAI et.al.

'Pattern-induced subjective hue perception is coupled with the phase of visual flicker patterns'


Database construction
 

PS-6

Ryohei KANZAKI et.al.

'Comparative Neuroscience Platform: the environment for the comparative neuroscience by facilitating data analysis and collaborations through neuroinfomatics'

PS-7

Junichiro YOSHIMOTO et.al.

'KANPHOS Platform: A comprehensive database for kinase-associated neural phosphorylation signaling'


Neuroinformatics in general as integration across experimental data, data analysis and commputational model
 

PS-8

Sutthinan ANANTARATTANACHAI et.al.

'A Neural Network for Pattern Separation'

PS-9

Mao YAXUAN et.al.

'A Quantum Neural Network Based System for Handwritten Numeral Recognition'

PS-10

Yutaro KANEKO et.al.

'Analyze microarray data on three mental diseases and extract common risk gene'

PS-11

Masahide MAEDA et.al.

'Big data infrastructure for online collaboration'

PS-12

Philipp WEIDEL et.al.

'Closing the loop between neural network simulators and the OpenAI Gym'

PS-13

Kazutaka NISHIWAKI et.al.

'DNA microarray data analysis for schizophrenia using machine learning'

PS-14

Hiromichi TSUKADA et.al.

'Effect of Local Excitatory-Inhibitory Connection Balance in Reproducing Whole-Brain Functional Connectivity'

PS-15

Alexander WOODWARD et.al.

'Marmoset Brain Atlas Applied to dMRI Based Connectomics'

PS-16

Satoko HATTORI et.al.

'Mouse behavioral phenotype database'

PS-17

Hideki KASHIOKA et.al.

'Recent Outputs of Neuroimaging Platform for Brain Researchers and Younger Generation'


Others
 

PS-18

Mio KUMAGAI et.al.

'Simulating the retinal cone mosaic with eye optics'

PS-19

Archana K Singh et.al

'Statistical analysis and inference from olfactory EEG studies:  from sensor to source space'

 

Tutorial Sessions    

Organizers

  Jun IGARASHI RIKEN Advanced Center for Computing and Communication
  Hidetoshi IKENO University of Hyogo School of Human Science and Environment
  Yoshimi KAMIYAMA Aichi Prefectural University
  Ryohei KANZAKI Research Center for Advanced Science and Technology (RCAST), The University of Tokyo
  Tomoki KAZAWA Research Center for Advanced Science and Technology (RCAST), The University of Tokyo
  Daisuke MIYAMOTO Research Center for Advanced Science and Technology (RCAST), The University of Tokyo
  Tadashi YAMAZAKI The University of Electro-Communications

Tutorial Session 1.   Introduction of High-Performance Computing for Neuroinformatics    back to page top

November 21 (Tuesday) 13:10-17:00

Lecturer

   Tadashi YAMAZAKI The University of Electro-Communications

  This tutorial will give a short lecture on high-performance computing in the field of neuroinformatics followed by a hands-on session that uses a computing cluster. We will write a parallel computer code for spiking neuron network simulation on the cluster to demonstrate the usefulness of high-performance neurocomputing technology.
Participants must bring their notebook PC in which ssh is installed so that they can log into the cluster machine via ssh. They should have experienced using linux and basic C programming.
We expect 5--10 participants. If more participants are applied, we will select based on the participants' background and experience.

※This tutorial is supported by MEXT Post-K Exploratory Research #4 "Understanding the neural mechanisms of thoughts and its applications to AI":
(a) Bottom-up whole insect brain simulation to understand the elemental intelligence of insects
(b) Big Brain-Data Analysis, Whole Brain-Scale Simulation, and Brain-Style AI Architecture

 

Tutorial Session 2.   Introduction to statistical data analysis in python     back to page top

November 21 (Tuesday) 13:10-17:00

Lecturer

   Jean-Baptiste  POLINE University of California, Berkeley; McGill University, Montreal Neurological Institute
  Hidetoshi IKENO University of Hyogo, School of Human Science and Environment

The python ecosystem is rapidely turning into a solid and comprehensive  environment for neuroscience data analysis. In this tutorial, lecturers will  review some bases of statistical analyses with the notions of  p-values, power, positive predictive values, p-hacking and some  aspects of machine learning. They will demonstrate the use of python  (numpy, scipy.stat, pandas, statmodels, scikitlearn) for data analysis  and some visualisation libraries (matplotlib).  The tutorial will require some basic knowledge of python, and  knowledge of elementary statistics, but is not for  experts in python  and statistical analyses. Part of the time will be spent in showing  how to solve for some concrete statistical data analysis problems and  working on some code. Participant number is around 15 at most.

Instructions from lecturers1:

From the quick description of the student experience in the excel spreadsheet, some are very advanced, and some are beginners. I will try to prepare a schedule that will accomodate both type of students. 

For the less advanced students, I will use in part material in 
https://github.com/jbpoline/module-stats

Instructions from lecturers 2:
 
We will need python and some modules for the training.  Please follow the instructions below. 
 
Solution 1
 
1) Install python : see instructions in 
 
2) Install the numpy scipy jupyter modules using anaconda (python 3.6)
 
Check that if you launch a shell you can run ipython in a shell
 
 
Solution 2
 
1) install Docker on your computer. Windows, Mac OS, and Linux instructions:
After you have installed Docker, please open the Docker shell (Windows) or terminal (Mac OS and Linux) and execute the following command:
 

docker pull satra/sfn-17:0.5

We will take a little time to see if all installs are working at the beginning of the workshop.
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