Hideaki Shimazaki

According to our database, Hideaki Shimazaki authored at least 13 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explosive neural networks via higher-order interactions in curved statistical manifolds.

Miguel Aguilera, Pablo A. Morales, Fernando E. Rosas, Hideaki Shimazaki

CoRR, 2024

2019

Online Estimation of Multiple Dynamic Graphs in Pattern Sequences.

Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki

Proceedings of the International Joint Conference on Neural Networks, 2019

Personal Partner Agents for Cooperative Intelligence.

Kotaro Funakoshi, Hideaki Shimazaki, Takatsune Kumada, Hiroshi Tsujino

Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

2018

How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study.

Safura Rashid Shomali, Majid Nili Ahmadabadi, Hideaki Shimazaki, Seyyed Nader Rasuli

J. Comput. Neurosci., 2018

State-Space Analysis of an Ising Model Reveals Contributions of Pairwise Interactions to Sparseness, Fluctuation, and Stimulus Coding of Monkey V1 Neurons.

Jimmy Gaudreault, Hideaki Shimazaki

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Olfactory learning without the mushroom bodies: Spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied complexities.

Hadi Maboudi, Hideaki Shimazaki, Martin Giurfa, Lars Chittka

PLoS Comput. Biol., 2017

Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations.

Christian Donner, Klaus Obermayer, Hideaki Shimazaki

PLoS Comput. Biol., 2017

2016

Approximate Inference Method for Dynamic Interactions in Larger Neural Populations.

Christian Donner, Hideaki Shimazaki

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2012

State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data.

Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün

PLoS Comput. Biol., 2012

2010

Kernel bandwidth optimization in spike rate estimation.

Hideaki Shimazaki, Shigeru Shinomoto

J. Comput. Neurosci., 2010

2009

State-space analysis on time-varying correlations in parallel spike sequences.

Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün

Proceedings of the IEEE International Conference on Acoustics, 2009

2007

A Method for Selecting the Bin Size of a Time Histogram.

Hideaki Shimazaki, Shigeru Shinomoto

Neural Comput., 2007

2006

A recipe for optimizing a time-histogram.

Hideaki Shimazaki, Shigeru Shinomoto

Proceedings of the Advances in Neural Information Processing Systems 19, 2006