Masafumi Oizumi

According to our database, Masafumi Oizumi authored at least 22 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models.

Ken Takeda, Masafumi Oizumi, Ryo Karakida

CoRR, May, 2026

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

Neural Networks, 2026

2025

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, May, 2025

Exploring internal representations of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects.

Asaki Kataoka, Yoshihiro Nagano, Masafumi Oizumi

Frontiers Comput. Neurosci., 2025

Spontaneous organization of diverse human color representations: from trichromacy to dichromacy in neural networks trained with retina-like inputs.

Asaki Kataoka, Nipun Ravindu Wickramanayaka, Yu Togashi, Masafumi Oizumi

Proceedings of the International Conference on Machine Learning and Applications, 2025

2024

Constructive Approach to Bidirectional Causation between Qualia Structure and Language Emergence.

Tadahiro Taniguchi, Masafumi Oizumi, Noburo Saji, Takato Horii, Naotsugu Tsuchiya

CoRR, 2024

2020

Efficient search for informational cores in complex systems: Application to brain networks.

Jun Kitazono, Ryota Kanai, Masafumi Oizumi

Neural Networks, 2020

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

2019

Information Geometry for Regularized Optimal Transport and Barycenters of Patterns.

Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi, Marco Cuturi

Neural Comput., 2019

Fisher Information and Natural Gradient Learning in Random Deep Networks.

Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Efficient Algorithms for Searching the Minimum Information Partition in Integrated Information Theory.

Jun Kitazono, Ryota Kanai, Masafumi Oizumi

Entropy, 2018

Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces.

Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi

CoRR, 2018

Information integration in a globally coupled chaotic system.

Hiroki Mori, Masafumi Oizumi

Proceedings of the 2018 Conference on Artificial Life, 2018

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

Geometry of Information Integration.

Shun-ichi Amari, Naotsugu Tsuchiya, Masafumi Oizumi

CoRR, 2017

Fast and exact search for the partition with minimal information loss.

Shohei Hidaka, Masafumi Oizumi

CoRR, 2017

2016

Measuring Integrated Information from the Decoding Perspective.

Masafumi Oizumi, Shun-ichi Amari, Toru Yanagawa, Naotaka Fujii, Naotsugu Tsuchiya

PLoS Comput. Biol., 2016

2015

A unified framework for information integration based on information geometry.

Masafumi Oizumi, Naotsugu Tsuchiya, Shun-ichi Amari

CoRR, 2015

2014

From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0.

Masafumi Oizumi, Larissa Albantakis, Giulio Tononi

PLoS Comput. Biol., 2014

2012

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

2011

Information Loss Associated with Imperfect Observation and Mismatched Decoding.

Masafumi Oizumi, Masato Okada, Shun-ichi Amari

Frontiers Comput. Neurosci., 2011

2008

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

Proceedings of the Advances in Neural Information Processing Systems 21, 2008