Taro Toyoizumi

38 papers A* 1Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks. CoRR Yuri Kinoshita, Naoki Nishikawa, Taro Toyoizumi
2025	—	`conf`	Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay. ICONIP (2) Genki Shimizu, Taro Toyoizumi
2025	J	`jnl`	Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay. CoRR Genki Shimizu, Taro Toyoizumi
2024	A*	`conf`	A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness. NeurIPS Yuri Kinoshita, Taro Toyoizumi
2024	J	`jnl`	A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness. CoRR Yuri Kinoshita, Taro Toyoizumi
2024	J	`jnl`	A surge of submissions. Neural Networks Taro Toyoizumi, DeLiang Wang
2024	J	`jnl`	Expansion of the editorial team. Neural Networks DeLiang Wang, Mauro Forti, Tongliang Liu, Taro Toyoizumi
2023	J	`jnl`	Announcement of the Neural Networks Best Paper Award. Neural Networks Taro Toyoizumi, DeLiang Wang
2023	J	`jnl`	Another bumper year. Neural Networks Taro Toyoizumi, DeLiang Wang
2023	J	`jnl`	Causal Graph in Language Model Rediscovers Cortical Hierarchy in Human Narrative Processing. CoRR Zhengqi He, Taro Toyoizumi
2023	J	`jnl`	Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information. Neural Comput. Zhengqi He, Taro Toyoizumi
2022	J	`jnl`	Continual growth and a transition. Neural Networks Kenji Doya, Taro Toyoizumi, DeLiang Wang
2022	J	`jnl`	Spontaneous Emerging Preference in Two-tower Language Model. CoRR Zhengqi He, Taro Toyoizumi
2021	J	`jnl`	An Information-theoretic Progressive Framework for Interpretation. CoRR Zhengqi He, Taro Toyoizumi
2021	J	`jnl`	Dimensionality reduction to maximize prediction generalization capability. Nat. Mach. Intell. Takuya Isomura, Taro Toyoizumi
2021	J	`jnl`	Learning poly-synaptic paths with traveling waves. PLoS Comput. Biol. Yoshiki Ito, Taro Toyoizumi
2021	J	`jnl`	On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures. Neural Comput. Takuya Isomura, Taro Toyoizumi
2021	J	`jnl`	Publisher Correction: Dimensionality reduction to maximize prediction generalization capability. Nat. Mach. Intell. Takuya Isomura, Taro Toyoizumi
2020	J	`jnl`	Dimensionality reduction to maximize prediction generalization capability. CoRR Takuya Isomura, Taro Toyoizumi
2019	J	`jnl`	Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder. Frontiers Comput. Neurosci. James Humble, Kazuhiro Hiratsuka, Haruo Kasai, Taro Toyoizumi
2018	J	`jnl`	A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback. PLoS Comput. Biol. Christopher L. Buckley, Taro Toyoizumi
2018	J	`jnl`	On the achievability of blind source separation for high-dimensional nonlinear source mixtures. CoRR Takuya Isomura, Taro Toyoizumi
2017	J	`jnl`	Redundancy in active paths of deep networks: a random active path model. CoRR Haiping Huang, Alireza Goudarzi, Taro Toyoizumi
2017	J	`jnl`	Reinforced backpropagation improves test performance of deep networks: a toy-model study. CoRR Haiping Huang, Taro Toyoizumi
2016	J	`jnl`	Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials. Frontiers Comput. Neurosci. Milad Lankarany, Jaime E. Heiss, Ilan Lampl, Taro Toyoizumi
2016	J	`jnl`	Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition. CoRR Haiping Huang, Taro Toyoizumi
2015	J	`jnl`	Advanced Mean Field Theory of Restricted Boltzmann Machine. CoRR Haiping Huang, Taro Toyoizumi
2015	J	`jnl`	Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding. PLoS Comput. Biol. Satohiro Tajima, Toru Yanagawa, Naotaka Fujii, Taro Toyoizumi
2013	—	`conf`	Blind Deconvolution of Hodgkin-Huxley neuronal model. EMBC Milad Lankarany, Wei-Ping Zhu, M. N. S. Swamy, Taro Toyoizumi
2013	J	`jnl`	Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering. Frontiers Comput. Neurosci. Milad Lankarany, Wei-Ping Zhu, M. N. S. Swamy, Taro Toyoizumi
2012	J	`jnl`	Nearly Extensive Sequential Memory Lifetime Achieved by Coupled Nonlinear Neurons. Neural Comput. Taro Toyoizumi
2009	J	`jnl`	Burst-Time-Dependent Plasticity Robustly Guides ON/OFF Segregation in the Lateral Geniculate Nucleus. PLoS Comput. Biol. Julijana Gjorgjieva, Taro Toyoizumi, Stephen J. Eglen
2009	J	`jnl`	Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness. Neural Comput. Taro Toyoizumi, Kamiar Rahnama Rad, Liam Paninski
2007	J	`jnl`	Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli. Neural Comput. Yoshiyuki Sato, Taro Toyoizumi, Kazuyuki Aihara
2007	J	`jnl`	Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution. Neural Comput. Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
2006	J	`jnl`	Generalization of the Mean-Field Method for Power-Law Distributions. Int. J. Bifurc. Chaos Taro Toyoizumi, Kazuyuki Aihara
2006	J	`jnl`	Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning. Neural Comput. Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
2004	—	`conf`	Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model. NIPS Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner