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Hideaki Shimazaki

Showing results (1-10 of 25) with videos related to

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Neuroscience Research|March 19, 2025
Neural coding: Foundational concepts, statistical formulations, and recent advancesHideaki Shimazaki
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 11, 2005
Phase transitions in multiplicative competitive processesHideaki Shimazaki, Ernst Niebur
Journal of Computational Neuroscience|August 6, 2009
Kernel bandwidth optimization in spike rate estimationHideaki Shimazaki, Shigeru Shinomoto
Neural Computation|April 21, 2007
A method for selecting the bin size of a time histogramHideaki Shimazaki, Shigeru Shinomoto
Nature Communications|December 9, 2025
State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilibrium neuronal dynamicsKen Ishihara, Hideaki Shimazaki
Neural Computation|September 22, 2025
Modeling Higher-Order Interactions in Sparse and Heavy-Tailed Neural Population ActivityUlises Rodríguez-Domínguez, Hideaki Shimazaki
Plos Computational Biology|January 18, 2017
Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural PopulationsChristian Donner, Klaus Obermayer, Hideaki Shimazaki
Nature Communications|June 23, 2023
Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick modelMiguel Aguilera, Masanao Igarashi, Hideaki Shimazaki
Communications Biology|January 15, 2022
Canonical neural networks perform active inferenceTakuya Isomura, Hideaki Shimazaki, Karl J Friston
Nature Communications|February 20, 2021
A unifying framework for mean-field theories of asymmetric kinetic Ising systemsMiguel Aguilera, S Amin Moosavi, Hideaki Shimazaki
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Neuroscience Research|March 19, 2025
Neural coding: Foundational concepts, statistical formulations, and recent advancesHideaki Shimazaki
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 11, 2005
Phase transitions in multiplicative competitive processesHideaki Shimazaki, Ernst Niebur
Journal of Computational Neuroscience|August 6, 2009
Kernel bandwidth optimization in spike rate estimationHideaki Shimazaki, Shigeru Shinomoto
Neural Computation|April 21, 2007
A method for selecting the bin size of a time histogramHideaki Shimazaki, Shigeru Shinomoto
Nature Communications|December 9, 2025
State-space kinetic Ising model reveals task-dependent entropy flow in sparsely active nonequilibrium neuronal dynamicsKen Ishihara, Hideaki Shimazaki
Neural Computation|September 22, 2025
Modeling Higher-Order Interactions in Sparse and Heavy-Tailed Neural Population ActivityUlises Rodríguez-Domínguez, Hideaki Shimazaki
Plos Computational Biology|January 18, 2017
Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural PopulationsChristian Donner, Klaus Obermayer, Hideaki Shimazaki
Nature Communications|June 23, 2023
Nonequilibrium thermodynamics of the asymmetric Sherrington-Kirkpatrick modelMiguel Aguilera, Masanao Igarashi, Hideaki Shimazaki
Communications Biology|January 15, 2022
Canonical neural networks perform active inferenceTakuya Isomura, Hideaki Shimazaki, Karl J Friston
Nature Communications|February 20, 2021
A unifying framework for mean-field theories of asymmetric kinetic Ising systemsMiguel Aguilera, S Amin Moosavi, Hideaki Shimazaki
Pageof 3