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Hideaki Shimazaki
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2020 – today
- 2024
- [e2]Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse:
Active Inference - 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers. Communications in Computer and Information Science 1915, Springer 2024, ISBN 978-3-031-47957-1 [contents] - [i2]Miguel Aguilera, Pablo A. Morales, Fernando E. Rosas, Hideaki Shimazaki:
Explosive neural networks via higher-order interactions in curved statistical manifolds. CoRR abs/2408.02326 (2024) - 2023
- [e1]Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen:
Active Inference - Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1721, Springer 2023, ISBN 978-3-031-28718-3 [contents]
2010 – 2019
- 2019
- [c6]Kotaro Funakoshi, Hideaki Shimazaki, Takatsune Kumada, Hiroshi Tsujino:
Personal Partner Agents for Cooperative Intelligence. HRI 2019: 570-571 - [c5]Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki:
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences. IJCNN 2019: 1-8 - [i1]Jimmy Gaudreault, Arunabh Saxena, Hideaki Shimazaki:
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences. CoRR abs/1901.07298 (2019) - 2018
- [j6]Safura Rashid Shomali, Majid Nili Ahmadabadi, Hideaki Shimazaki, Seyyed Nader Rasuli:
How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study. J. Comput. Neurosci. 44(2): 147-171 (2018) - [c4]Jimmy Gaudreault, Hideaki Shimazaki:
State-Space Analysis of an Ising Model Reveals Contributions of Pairwise Interactions to Sparseness, Fluctuation, and Stimulus Coding of Monkey V1 Neurons. ICANN (3) 2018: 641-651 - 2017
- [j5]Christian Donner, Klaus Obermayer, Hideaki Shimazaki:
Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations. PLoS Comput. Biol. 13(1) (2017) - [j4]Hadi Maboudi, Hideaki Shimazaki, Martin Giurfa, Lars Chittka:
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. PLoS Comput. Biol. 13(6) (2017) - 2016
- [c3]Christian Donner, Hideaki Shimazaki:
Approximate Inference Method for Dynamic Interactions in Larger Neural Populations. ICONIP (3) 2016: 104-110 - 2012
- [j3]Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün:
State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data. PLoS Comput. Biol. 8(3) (2012) - 2010
- [j2]Hideaki Shimazaki, Shigeru Shinomoto:
Kernel bandwidth optimization in spike rate estimation. J. Comput. Neurosci. 29(1-2): 171-182 (2010)
2000 – 2009
- 2009
- [c2]Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün:
State-space analysis on time-varying correlations in parallel spike sequences. ICASSP 2009: 3501-3504 - 2007
- [j1]Hideaki Shimazaki, Shigeru Shinomoto:
A Method for Selecting the Bin Size of a Time Histogram. Neural Comput. 19(6): 1503-1527 (2007) - 2006
- [c1]Hideaki Shimazaki, Shigeru Shinomoto:
A recipe for optimizing a time-histogram. NIPS 2006: 1289-1296
Coauthor Index
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