Taro Toyoizumi

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 22

Top Topics

Source Separation

Independent Components Analysis

Dimensionality Reduction

Top Venues

Neural Networks

PLoS Comput. Biol.

Nat. Mach. Intell.

Publications

Yuri Kinoshita, Taro Toyoizumi
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness. CoRR (2024)
Taro Toyoizumi, DeLiang Wang
A surge of submissions. Neural Networks 169 (2024)
DeLiang Wang, Mauro Forti, Tongliang Liu, Taro Toyoizumi
Expansion of the editorial team. Neural Networks 173 (2024)
Zhengqi He, Taro Toyoizumi
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information. Neural Comput. 35 (1) (2023)
Taro Toyoizumi, DeLiang Wang
Announcement of the Neural Networks Best Paper Award. Neural Networks 157 (2023)
Taro Toyoizumi, DeLiang Wang
Another bumper year. Neural Networks 157 (2023)
Zhengqi He, Taro Toyoizumi
Causal Graph in Language Model Rediscovers Cortical Hierarchy in Human Narrative Processing. CoRR (2023)
Zhengqi He, Taro Toyoizumi
Spontaneous Emerging Preference in Two-tower Language Model. CoRR (2022)
Kenji Doya, Taro Toyoizumi, DeLiang Wang
Continual growth and a transition. Neural Networks 145 (2022)
Zhengqi He, Taro Toyoizumi
An Information-theoretic Progressive Framework for Interpretation. CoRR (2021)
Takuya Isomura, Taro Toyoizumi
Dimensionality reduction to maximize prediction generalization capability. Nat. Mach. Intell. 3 (5) (2021)
Takuya Isomura, Taro Toyoizumi
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures. Neural Comput. 33 (6) (2021)
Takuya Isomura, Taro Toyoizumi
Publisher Correction: Dimensionality reduction to maximize prediction generalization capability. Nat. Mach. Intell. 3 (5) (2021)
Yoshiki Ito, Taro Toyoizumi
Learning poly-synaptic paths with traveling waves. PLoS Comput. Biol. 17 (2) (2021)
Takuya Isomura, Taro Toyoizumi
Dimensionality reduction to maximize prediction generalization capability. CoRR (2020)
James Humble, Kazuhiro Hiratsuka, Haruo Kasai, Taro Toyoizumi
Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder. Frontiers Comput. Neurosci. 13 (2019)
Takuya Isomura, Taro Toyoizumi
On the achievability of blind source separation for high-dimensional nonlinear source mixtures. CoRR (2018)
Christopher L. Buckley, Taro Toyoizumi
A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback. PLoS Comput. Biol. 14 (1) (2018)
Haiping Huang, Alireza Goudarzi, Taro Toyoizumi
Redundancy in active paths of deep networks: a random active path model. CoRR (2017)
Haiping Huang, Taro Toyoizumi
Reinforced backpropagation improves test performance of deep networks: a toy-model study. CoRR (2017)
Haiping Huang, Taro Toyoizumi
Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition. CoRR (2016)
Milad Lankarany, Jaime E. Heiss, Ilan Lampl, Taro Toyoizumi
Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials. Frontiers Comput. Neurosci. 10 (2016)
Haiping Huang, Taro Toyoizumi
Advanced Mean Field Theory of Restricted Boltzmann Machine. CoRR (2015)
Satohiro Tajima, Toru Yanagawa, Naotaka Fujii, Taro Toyoizumi
Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding. PLoS Comput. Biol. 11 (11) (2015)
Milad Lankarany, Wei-Ping Zhu, M. N. S. Swamy, Taro Toyoizumi
Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering. Frontiers Comput. Neurosci. 7 (2013)
Milad Lankarany, Wei-Ping Zhu, M. N. S. Swamy, Taro Toyoizumi
Blind Deconvolution of Hodgkin-Huxley neuronal model. EMBC (2013)
Taro Toyoizumi
Nearly Extensive Sequential Memory Lifetime Achieved by Coupled Nonlinear Neurons. Neural Comput. 24 (10) (2012)
Julijana Gjorgjieva, Taro Toyoizumi, Stephen J. Eglen
Burst-Time-Dependent Plasticity Robustly Guides ON/OFF Segregation in the Lateral Geniculate Nucleus. PLoS Comput. Biol. 5 (12) (2009)
Taro Toyoizumi, Kamiar Rahnama Rad, Liam Paninski
Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness. Neural Comput. 21 (5) (2009)
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution. Neural Comput. 19 (3) (2007)
Yoshiyuki Sato, Taro Toyoizumi, Kazuyuki Aihara
Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli. Neural Comput. 19 (12) (2007)
Taro Toyoizumi, Kazuyuki Aihara
Generalization of the Mean-Field Method for Power-Law Distributions. Int. J. Bifurc. Chaos 16 (1) (2006)
Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning. Neural Comput. 18 (6) (2006)
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model. NIPS (2004)