A general framework for investigating how far the decoding process in the brain can be simplified. - Masafumi Oizumi; Toshiyuki Ishii; Kazuya Ishibashi; Toshihiko Hosoya; Masato Okada (NIPS, 2008)

Information Loss Associated with Imperfect Observation and Mismatched Decoding. - Masafumi Oizumi; Masato Okada; Shun-ichi Amari (Frontiers Comput. Neurosci., 2011)

Functional Differences between Global Pre- and Postsynaptic Inhibition in the Drosophila Olfactory Circuit. - Masafumi Oizumi; Ryota Satoh; Hokto Kazama; Masato Okada (Frontiers Comput. Neurosci., 2012)

From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. - Masafumi Oizumi; Larissa Albantakis; Giulio Tononi (PLoS Comput. Biol., 2014)

A unified framework for information integration based on information geometry. - Masafumi Oizumi; Naotsugu Tsuchiya; Shun-ichi Amari (CoRR, 2015)

Measuring Integrated Information from the Decoding Perspective. - Masafumi Oizumi; Shun-ichi Amari; Toru Yanagawa; Naotaka Fujii; Naotsugu Tsuchiya (PLoS Comput. Biol., 2016)

Fast and exact search for the partition with minimal information loss. - Shohei Hidaka; Masafumi Oizumi (CoRR, 2017)

Geometry of Information Integration. - Shun-ichi Amari; Naotsugu Tsuchiya; Masafumi Oizumi (CoRR, 2017)

Information Geometry Connecting Wasserstein Distance and Kullback-Leibler Divergence via the Entropy-Relaxed Transportation Problem. - Shun-ichi Amari; Ryo Karakida; Masafumi Oizumi (CoRR, 2017)

Information integration in a globally coupled chaotic system. - Hiroki Mori; Masafumi Oizumi (ALIFE, 2018)

Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces. - Shun-ichi Amari; Ryo Karakida; Masafumi Oizumi (CoRR, 2018)

Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory. - Jun Kitazono; Ryota Kanai; Masafumi Oizumi (Entropy, 2018)

Fisher Information and Natural Gradient Learning in Random Deep Networks. - Shun-ichi Amari; Ryo Karakida; Masafumi Oizumi (AISTATS, 2019)

Information Geometry for Regularized Optimal Transport and Barycenters of Patterns. - Shun-ichi Amari; Ryo Karakida; Masafumi Oizumi; Marco Cuturi (Neural Comput., 2019)

An Information Theoretic Approach to Reveal the Formation of Shared Representations. - Akihiro Eguchi; Takato Horii; Takayuki Nagai; Ryota Kanai; Masafumi Oizumi (Frontiers Comput. Neurosci., 2020)

Efficient search for informational cores in complex systems: Application to brain networks. - Jun Kitazono; Ryota Kanai; Masafumi Oizumi (Neural Networks, 2020)

Constructive Approach to Bidirectional Causation between Qualia Structure and Language Emergence. - Tadahiro Taniguchi; Masafumi Oizumi; Noburo Saji; Takato Horii; Naotsugu Tsuchiya (CoRR, 2024)

Correspondence of high-dimensional emotion structures elicited by video clips between humans and Multimodal LLMs. - Haruka Asanuma; Naoko Koide-Majima; Ken Nakamura; Takato Horii; Shinji Nishimoto; Masafumi Oizumi (CoRR, 2025)

Investigating Fine- and Coarse-grained Structural Correspondences Between Deep Neural Networks and Human Object Image Similarity Judgments Using Unsupervised Alignment. - Soh Takahashi; Masaru Sasaki; Ken Takeda; Masafumi Oizumi (CoRR, 2025)