HIDEAKI SHIMAZAKI


HIDEAKI SHIMAZAKI

J-GLOBAL         Last updated: Jan 15, 2020 at 04:53
 
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Name
HIDEAKI SHIMAZAKI
Affiliation
Kyoto University
Job title
Program-specific Associate Professor
Degree
Ph.D.
ORCID ID
0000-0001-7794-3064

Research Areas

 
 

Academic & Professional Experience

 
 
   
 
Project-specific Associate Professor / Senior Scientist, Kyoto University / Honda Research Institute
 

Awards & Honors

 
Oct 2016
Excellent paper award, The 23rd International Conference on Neural Information Processing
Winner: Christian Donner and Hideaki Shimazaki
 
Sep 2009
Japanese Neural Network Society 2009 Research Award
Winner: Hideaki Shimazaki
 
Sep 2006
Japanese Neural Network Society 2007 Young Researcher Award
Winner: Hideaki Shimazaki
 

Published Papers

 
Bayesian and thermodynamic view on dynamics of learning and recognition in organisms
Hideaki Shimazaki
The Brain & Neural Networks   26(3) 72-98   Sep 2019
Hideaki Shimazaki
arXiv   1902.11233   Feb 2019
How do organisms recognize their environment by acquiring knowledge about the world, and what actions do they take based on this knowledge? This article examines hypotheses about organisms' adaptation to the environment from machine learning, info...
Makio Torigoe, Tanvir Islam, Hisaya Kakinuma, Chi Chung Alan Fung, Takuya Isomura, Hideaki Shimazaki, Tazu Aoki, Tomoki Fukai, Hitoshi Okamoto
bioRxiv   10.1101/546440   Feb 2019
Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki
2019 International Joint Conference on Neural Networks (IJCNN)   1-8   Jan 2019
Many time-series data including text, movies, and biological signals can be represented as sequences of correlated binary patterns. These patterns may be described by weighted combinations of a few dominant structures that underpin specific intera...
Safura Rashid Shomali, Majid Nili Ahmadabadi, Seyyed Nader Rasuli, Hideaki Shimazaki
bioRxiv   10.1101/479956   Nov 2018
Hideaki Shimazaki
The Brain & Neural Networks   25(3) 86-103   Sep 2018
Jimmy Gaudreault, Hideaki Shimazaki
Lecture Notes in Computer Science   11141 641-651   Oct 2018   [Refereed]
In this study, we analyzed the activity of monkey V1 neu- rons responding to grating stimuli of different orientations using inference methods for a time-dependent Ising model. The method provides optimal estimation of time-dependent neural intera...
Kass RE, Amari S, Arai K, Diekman CO, Diesmann M, Doiron B, Fairhall A, Fiddyment GM, Fukai T, Grün S, Harrison MT, Helias M, Nakahara H, Teramae J, Thomas PJ, Reimers M, Rodu J, Rotstein HG, Shea-Brown E, Shimazaki H, Shinomoto S, Yu BM, Kramer MA
Annual Review of Statistics and Its Application      Mar 2018   [Refereed]
Donner C., Obermeyer K., Shimazaki H.
PLoS Computational Biology   13(1) e1005309   Jan 2017   [Refereed]
The models in statistical physics such as an Ising model offer a convenient way to characterize stationary activity of neural populations. Such stationary activity of neurons may be expected for recordings from in vitro slices or anesthetized anim...

Misc

 
Fukai T, Shimazaki
Optogenetic activation of an inhibitory network enhances feedforward functional connectivity in auditory cortex      Jan 2014   [Invited]
Fukai T and Shimazaki H: F1000Prime Recommendation of [Hamilton LS et al., Neuron 2013,80(4):1066-76]. Faculty of 1000, 10 Jan 2014; DOI: 10.3410/f.718185775.793489321.
SHIMAZAKI Hideaki
Seibutsu Butsuri   53(2) 103-104   2013   [Refereed][Invited]
Shimazaki H
The Brain & neural networks   18(4) 194-203   Dec 2011   [Refereed][Invited]

Books etc

 
Dynamic Neuroscience: Statistics, Modeling, and Control
Ed. Zhe Chen and Sridevi Sarma (Part:Contributor, Chapter 11: Neural Engine Hypothesis)
Springer, Cham   Jan 2018   ISBN:978-3-319-71975-7
Eric R. Kandel, James H. Schwartz, Steven A. Siegelbaum, Thomas M.Jessell, A. J. Hudspeth (Part:Single Translation, Appendix F, Theoretical Approaches to Neuroscience: Examples from SingleNeurons to Networks)
MEDICAL SCIENCES INTERNATIONAL, LTD   Apr 2014   ISBN:4895927717

Conference Activities & Talks

 
Effects of structured neural correlations in population coding: beneficial or detrimental?
Seyedamin Moosavi, Magalie Tatischeff, Bingyue Zhu, Hideaki Shimazaki
Cosyne 2020   27 Feb 2020   
In sensory cortices, information about external stimuli is conveyed by collective neural activities. Small neural populations often express perceptual sensitivity of psychophysical observers, suggesting that stimulus properties are redundantly cod...
Hideaki Shimazaki
Combining Information theoretic Perspectives on Agency   28 Jan 2020   
Neurophysiological studies on early visual cortices revealed that an initial feedforward-sweep of neural response depends only on stimulus features whereas perceptual effect such as awareness and attention is represented as modulation of the late ...
Hideaki Shimazaki
Singularity Salon   7 Dec 2019   Singularity Salon
Hideaki Shimazaki
Singularity Salon   16 Nov 2019   Singularity Salon
Hideaki Shimazaki
The 7th International Congress on Cognitive Neurodynamics   29 Sep 2019   
Stimulus information and cognitive states of an animal are represented by correlated population activity of neurons. The maximum entropy method provides a principled way to describe the correlated population activity using much less parameters tha...
Judging between Excitation and Inhibition: Identifying Local Network Architecture by an Analytic Pre-Post Relation
Safura Rashid Shomali, Majid Nili Ahmadabadi, Seyyed Nader Rasuli, Hideaki Shimazaki
Bernstein Conference 2019   18 Sep 2019   
Recognizing network architecture exploiting the recorded activity of neurons only, is a challenge in neuroscience. In general, this is a hard task; but an analytic tool can help us to narrow down possible scenarios and approach the architecture be...
Miguel Aguilera, Amin Seyed Moosavi, Hideaki Shimazaki
15th Granada Seminar: Stochastic and Collective Effects in Neural Systems   17 Sep 2019   
Advances in high-throughput data acquisition technologies provide unprecedented possibilities for the statistical description of very large biological systems. In this scenario, there is a pressing demand for mathematical tools that can cope with ...
Hideaki Shimazaki
Data Science, Statistics, & Visualisation (DSSV2019)   13 Aug 2019   International Association for Statistical Computing
Neurons in the brain communicate each other using electrical pulses known as spikes. Information of external world in the brain is therefore represented in spiking activity of neuronal networks. However it is difficult to decipher how they code th...
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences
Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki
The 2019 International Joint Conference on Neural Networks (IJCNN)   14 Jul 2019   INNS, IEEE CIS
Sequences of correlated binary patterns can represent many time-series data including text, movies, and biological signals. These patterns may be described by weighted combinations of a few dominant structures that underpin specific interactions a...
Hideaki Shimazaki
26 Mar 2019   Kenji Doya
Population activity of neurons is constrained by their biophysical properties and network architecture. Hence, statistical regularity of neural activity in turn tells us about these underlying mechanisms. In this talk, we report structured higher-...

Teaching Experience

 
 

Committee Memberships

 
Apr 2018
 - 
Today
Japanese Neural Network Society  Board member