Matthew de Brecht, Ph. D.

 

Researcher

matthew (at) nict.go.jp

 

National Institute of Information and Communications Technology

Center for Neural Systems and Information Networks

 

ATR Department of Cognitive Neuroscience

Vision Dynamics Group

 

 

Education:

 

1998 – 2002: The University of Texas at Austin (B.S. in Computer Science; B.A. in Asian Cultures and Languages: Japanese)

2005 – 2007: Kyoto University Graduate School of Informatics (Master’s Degree)

2007 – 2010: Kyoto University Graduate School of Informatics (Ph. D.)

 

Publications:

 

Journal Articles

 

de Brecht, M. : Quasi-Polish Spaces, Annals of Pure and Applied Logic (accepted).

 

de Brecht, M. and Yamagishi, N. : Combining sparseness and smoothness improves classification accuracy and interpretability. NeuroImage 60 (2): 1550-1561, 2012.

 

Brattka V., de Brecht M., Pauly A. : Closed Choice and a Uniform Low Basis Theorem. Annals of Pure and Applied Logic 163 (8): 986-1008, 2012.

 

de Brecht, M. and Yamamoto, A. : Mind change complexity of inferring unbounded unions of pattern languages from positive data. Theoretical Computer Science 411(7-9): 976-985, 2010.

 

de Brecht, M. and Yamamoto, A. : Topological properties of concept spaces (full version). Information and Computation 208 (4): 327-340, 2010.

 

de Brecht, M. and Saiki, J. : A neural network implementation of a saliency map model. Neural Networks 19 (10): 1467-1474, 2006.

 

 

Invited Lectures

 

de Brecht, M. : A common framework for domains and complete metric spaces, Continuity, Computability, Constructivity (CCC) Workshop, Trier, Germany, 2012.

 

 

International Conferences (refereed)

 

Pauly, A. de Brecht, M : Non-deterministic computation and the Jayne Rogers Theorem, 8th International Workshop on Developments in Computational Models, Cambridge, England, 2012.

 

de Brecht, M. and Yamamoto, A. : Sigma0α- admissible representations. The Sixth International Conference on Computability and Complexity in Analysis, pp. 119-130, 2009.

 

de Brecht, M. and Yamamoto A. : Topological properties of concept spaces. Proceedings of the 19th International Conference on Algorithmic Learning Theory, (Lecture Notes in Artificial Intelligence 5254), 374-388, 2008.

 

de Brecht, M. and Yamamoto, A. : Mind change complexity of inferring unbounded unions of pattern languages from positive data. Proceedings of the 17th International Conference on Algorithmic Learning Theory (Lecture Notes in Artificial Intelligence 4264), Springer, 124-138, 2006.

 

de Brecht, M., Kobayashi, M., Tokunaga, H., Yamamoto, A. : Inferability of closed set systems from positive data.  Fourth Workshop on Learning with Logics and Logics for Learning (LLLL 2006), New Frontiers in Artificial Intelligence (Lecture Notes in Artificial Intelligence 4384), Springer, 265-275, 2006.

 

 

Conferences (not refereed)

 

de Brecht, M., Yamagishi, N.Online decoding of attentional states, 35回日本神経科学大会 , 20129, 愛知県.

 

Yamagishi, N., de Brecht, M., Kawato, M. : Decoding of attentional direction, 34回日本神経科学大会, 20119, 神奈川県.

 

de Brecht, M.,Yamagishi, N.Decoding brain activity with smooth sparse regression, 34回日本神経科学大会 , 20119, 神奈川県.

 

de Brecht, M., Applications of quasi-Polish spaces in computable analysis, Dagstuhl-Seminar , 201110, Dagstuhl ,Germany.

 

de Brecht, M., Descriptive set theory of complete quasi-metric spaces, RIMS研究会, 201110, 京都府.

 

de Brecht, M. ,Yamagishi, N.: Smooth sparse classification of recorded brain activity, Neuroscience2011201111, Washington DC,USA.

 

デ・ブレクト マシュー, 徳永浩雄, 山本章博 : 代数学・数学基礎論における機械学習, 人工知能学会誌, 24(6), 788-796, 2009.

 

デ・ブレクト マシュー, 山本 章博 : 概念空間の位相的性質, 71回人工知能基本問題研究会資料, SIG-FPAI-A802, 33-40, 2008.

 

デ・ブレクト マシュー, 小林 正典, 徳永 浩雄, 山本 章博 : 普遍代数における閉集合族と正データからの帰納推論, 京都大学数理解析研究所講究録, No.1489, 256-260, 2006.

 

デ・ブレクト マシュー, 小林 正典, 徳永 浩雄, 山本 章博 : 多項式環イデアルの正データからの帰納推論, 2005年度冬のLAシンポジウム, 41-1 -- 41-5, 2005.

 

デ・ブレクト マシュー, 山本 章博 : 有限の弾力性を含む証明の分析 --有限の弾力性の手続き化に向けて--, 61回人工知能基本問題研究会資料, SIG-FPAI-A503, 93-98, 2005.