Taro Toyoizumi

Orcid: 0000-0001-5444-8829

According to our database1, Taro Toyoizumi authored at least 32 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A surge of submissions.
Neural Networks, January, 2024

Expansion of the editorial team.
Neural Networks, 2024

A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness.
CoRR, 2024

2023
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information.
Neural Comput., January, 2023

Another bumper year.
Neural Networks, 2023

Announcement of the Neural Networks Best Paper Award.
Neural Networks, 2023

Causal Graph in Language Model Rediscovers Cortical Hierarchy in Human Narrative Processing.
CoRR, 2023

2022
Continual growth and a transition.
Neural Networks, 2022

Spontaneous Emerging Preference in Two-tower Language Model.
CoRR, 2022

2021
Learning poly-synaptic paths with traveling waves.
PLoS Comput. Biol., 2021

On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures.
Neural Comput., 2021

Publisher Correction: Dimensionality reduction to maximize prediction generalization capability.
Nat. Mach. Intell., 2021

Dimensionality reduction to maximize prediction generalization capability.
Nat. Mach. Intell., 2021

An Information-theoretic Progressive Framework for Interpretation.
CoRR, 2021

2019
Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder.
Frontiers Comput. Neurosci., 2019

2018
A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback.
PLoS Comput. Biol., 2018

2017
Reinforced backpropagation improves test performance of deep networks: a toy-model study.
CoRR, 2017

Redundancy in active paths of deep networks: a random active path model.
CoRR, 2017

2016
Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials.
Frontiers Comput. Neurosci., 2016

Unsupervised feature learning from finite data by message passing: discontinuous versus continuous phase transition.
CoRR, 2016

2015
Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding.
PLoS Comput. Biol., 2015

Advanced Mean Field Theory of Restricted Boltzmann Machine.
CoRR, 2015

2013
Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering.
Frontiers Comput. Neurosci., 2013

Blind Deconvolution of Hodgkin-Huxley neuronal model.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Nearly Extensive Sequential Memory Lifetime Achieved by Coupled Nonlinear Neurons.
Neural Comput., 2012

2009
Burst-Time-Dependent Plasticity Robustly Guides ON/OFF Segregation in the Lateral Geniculate Nucleus.
PLoS Comput. Biol., 2009

Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness.
Neural Comput., 2009

2007
Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution.
Neural Comput., 2007

Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli.
Neural Comput., 2007

2006
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning.
Neural Comput., 2006

Generalization of the Mean-Field Method for Power-Law Distributions.
Int. J. Bifurc. Chaos, 2006

2004
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004


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