Masafumi Oizumi

J-GLOBAL         Last updated: Jan 22, 2019 at 11:16
 
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Name
Masafumi Oizumi
Nickname
oizumim
E-mail
oizumiaraya.org
Affiliation
RIKEN(The Institute of Physical and Chemical Research) Wako Institute Brain Science Institute
Research funding number
30715371

Research Interests

 
 

Research Areas

 
 

Academic & Professional Experience

 
Mar 2017
 - 
Today
Manager, Basic Research Group, Araya Inc
 

Awards & Honors

 
2012
Young Researcher Award, Asian Pacific Neural Network Assembly
 
2007
Young Researcher Award, IEEE CIS Japan Chapter
 

Published Papers

 
Fisher Information and Natural Gradient Learning in Random Deep Networks
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
Artificial Intelligence and Statistics (AISTATS)      2019   [Refereed]
Information Geometry for Regularized Optimal Transport and Barycenters of Patterns
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi, Marco Cuturi
Neural Computation      2019   [Refereed]
Amari S, Karakida R, Oizumi M
Information Geometry   1(1) 1-25   2018   [Refereed]
Artificial consciousness from the perspective of Integrated Information Theory
Masafumi Oizumi
33(4) 460-467   Jul 2018
Jun Kitazono,Ryota Kanai,Masafumi Oizumi
Entropy   20(3) 173   2018   [Refereed]
Hidaka S, Oizumi M
PloS one   13(9) e0201126   2018   [Refereed]
Haun AM, Oizumi M, Kovach CK, Kawasaki H, Oya H, Howard MA, Adolphs R, Tsuchiya N
eNeuro   4(5)    Sep 2017   [Refereed]
Oizumi M, Tsuchiya N, Amari SI
Proceedings of the National Academy of Sciences of the United States of America   113(51) 14817-14822   Dec 2016   [Refereed]
Oizumi M, Amari S, Yanagawa T, Fujii N, Tsuchiya N
PLoS computational biology   12(1) e1004654   Jan 2016   [Refereed]
Boly M, Sasai S, Gosseries O, Oizumi M, Casali A, Massimini M, Tononi G
PloS one   10(5) e0125337   2015   [Refereed]
Oizumi M, Albantakis L, Tononi G
PLoS computational biology   10(5) e1003588   May 2014   [Refereed]
意識の統合情報理論
Masafumi Oizumi
Clinical Neuroscience   32(8) 905-912   2014
Mitani A, Sasaki R, Oizumi M, Uka T
PloS one   8(3) e59670   2013   [Refereed]
Igarashi Y, Oizumi M, Okada M
Physical review. E, Statistical, nonlinear, and soft matter physics   85(1 Pt 2) 016108   Jan 2012   [Refereed]
温度計に意識はあるか?-意識レベルの定量化へ向けた理論と実践
大泉匡史,土谷尚嗣
LiSA   19(4) 352-359   2012
Oizumi M, Satoh R, Kazama H, Okada M
Frontiers in computational neuroscience   6 14   2012   [Refereed]
Otsubo Y, Nagata K, Oizumi M, Okada M
Journal of the Physical Society of Japan   80 084004   2011   [Refereed]
Oizumi M, Okada M, Amari S
Frontiers in computational neuroscience   5 9   2011   [Refereed]
Oizumi M, Miura K, Okada M
Physical review. E, Statistical, nonlinear, and soft matter physics   81(5,Pt.1) 051905   May 2010   [Refereed]
Satoh R, Oizumi M, Kazama H, Okada M
PloS one   5(5) e10644   May 2010   [Refereed]
Oizumi M, Ishii T, Ishibashi K, Hosoya T, Okada M
The Journal of neuroscience : the official journal of the Society for Neuroscience   30(13) 4815-4826   Mar 2010   [Refereed]
Igarashi Y, Oizumi M, Okada M
Journal of the Physical Society of Japan   79 084001   2010   [Refereed]
Otsubo Y, Nagata K, Oizumi M, Okada M
Journal of the Physical Society of Japan   79 084002   2010   [Refereed]
Igarashi Y, Oizumi M, Otsubo Y, Nagata K, Okada M
Journal of Physics Conference Series   197 012018   2009   [Refereed]
Oizumi M, Miyawaki Y, Okada M
Journal of the Physical Society of Japan   77(6) 064802   2008   [Refereed]
Oizumi M, Ishii T, Ishibashi K, Hosoya T, Okada M
Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008   1225-1232   2008   [Refereed]
Oizumi M, Miyawaki Y, Okada M
Journal of the Physical Society of Japan   76(4) 044803   2007   [Refereed]

Misc

 
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
   Aug 2018
A deep neural network is a hierarchical nonlinear model transforming input
signals to output signals. Its input-output relation is considered to be
stochastic, being described for a given input by a parameterized conditional
probability distributi...
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
   Aug 2018
Statistical neurodynamics studies macroscopic behaviors of randomly connected
neural networks. We consider a deep layered feedforward network where input
signals are processed layer by layer. The manifold of input signals is embedded
in a higher d...
Shun-ichi Amari, Naotsugu Tsuchiya, Masafumi Oizumi
   Sep 2017
Information geometry is used to quantify the amount of information
integration within multiple terminals of a causal dynamical system. Integrated
information quantifies how much information is lost when a system is split into
parts and information...

Conference Activities & Talks

 
An information theoretic approach to the boundary problem of consciousness [Invited]
Masafumi Oizumi
2018   
Short lecture on Integrated Information Theory of Consciousness [Invited]
Masafumi Oizumi
Workshop on Neuroscience of Consciousness: Beyond Neural Correlates of Consciousness   2017   
Boundary problem of consciousness from the viewpoint of integrated information theory [Invited]
Masafumi Oizumi
Consciousness Research Network Meeting   2017   
A unified framework for quantifying information integration based on information geometry [Invited]
Masafumi Oizumi
CNS*2016 (Computational Neuroscience) Workhop on Methods of Information Theory in Computational Neuroscience   2016   
Measures of Consciousness from the Viewpoint of Information Geometry [Invited]
Masafumi Oizumi
FQXi’s 5th International Conference – If a Tree Falls: the Physics of What Happens and Who is Listening   2016   
How can we assess "Machine Consciousness"? - From the viewpoint of integrated information theory. [Invited]
Masafumi Oizumi
13th Japanese-German Frontiers Science Symposium   2016   
The Integrated Information Theory of Consciousness – Theory and Practice. [Invited]
Masafumi Oizumi
International Symposium on Neural mechanisms of brain functions that require awareness   2015   
A Unified Framework for Information Integration Based on Information Geometry [Invited]
Masafumi Oizumi
2nd Monash Brain Function Workshop   2015   
Integrated information theory of consciousness. [Invited]
Tononi G, Koch C, Tsuchiya N, Oizumi M, Albantakis L
Association for the Scientific Study of Consciousness (ASSC)   2014   
The Integrated Information Theory of Consciousness. – Theory and Practice. [Invited]
Masafumi Oizumi
International Symposium on Memory and Awareness in Anesthesia   2014   
The integrated information theory of consciousness. [Invited]
Tononi G, Koch C, Tsuchiya N, Oizumi M
Association for the Scientific Study of Consciousness   2013   
Quantifying the level of consciousness with integrated information. [Invited]
Masafumi Oizumi
International Workshop on Measuring Consciousness – Theory and Experiments   2013   
Measuring the level of consciousness based on the amount of integrated information. [Invited]
Masafumi Oizumi
Special Neuro Engineering Laboratory Seminar   2012   
Information loss associated with imperfect observation and mismatched decoding. [Invited]
Masafumi Oizumi
International Workshop on Information Geometry   2011   
Consciousness and information integration – Application of the integrated information theory to real neural data. [Invited]
Masafumi Oizumi
11th Japan-China-Korea Joint Workshop on Neurobiology and Neuroinformatics   2011   
An information-theoretic approach for investigating to what extent the decoding process in the brain can be simplified. [Invited]
Masafumi Oizumi
Workshop on Computational Neuroscience   2010   
A general framework for investigating how far the decoding process in the brain can be simplified. [Invited]
Masafumi Oizumi
International Workshop on Statistical Mechanical Informatics   2009