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Journal of Computational Neuroscience
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February 8, 2013
Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model
Ryota Kobayashi, Katsunori Kitano
Rinsho Shinkeigaku = Clinical Neurology
|
September 28, 2025
[Pathomechanisms of frontotemporal lobar degeneration: from view of clinical neuropathology]
Yuichi Riku, Ryota Kobayashi
Mathematical Biosciences and Engineering : MBE
|
April 24, 2016
Fluctuation scaling in neural spike trains
Shinsuke Koyama, Ryota Kobayashi
Journal of Computational Neuroscience
|
April 18, 2016
Impact of slow K(+) currents on spike generation can be described by an adaptive threshold model
Ryota Kobayashi, Katsunori Kitano
Journal of Alzheimer'S Disease : JAD
|
April 24, 2023
Towards Improved Clinical Diagnosis of Argyrophilic Grain Disease Using Brain Imaging
Shinobu Kawakatsu, Ryota Kobayashi
Neuroscience Research
|
August 4, 2024
Inference of monosynaptic connections from parallel spike trains: A review
Ryota Kobayashi, Shigeru Shinomoto
Cardiology Journal
|
February 13, 2024
Acute effects of the 4-4-8 breathing technique on arterial stiffness in healthy young men
Ryota Kobayashi, Hideyuki Negoro
Bio Systems
|
July 5, 2015
Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints
Lubomir Kostal, Ryota Kobayashi
Frontiers in Psychology
|
September 12, 2022
Relationship between emotion regulation strategies and total conviction in promoting behavior change
Jun Shigematsu, Ryota Kobayashi
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 16, 2007
State space method for predicting the spike times of a neuron
Ryota Kobayashi, Shigeru Shinomoto
Page
of 22
Search research articles
Search
Showing results (1-10 of 211) with videos related to
Sort By:
Page
of 22
Journal of Computational Neuroscience
|
February 8, 2013
Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model
Ryota Kobayashi, Katsunori Kitano
Rinsho Shinkeigaku = Clinical Neurology
|
September 28, 2025
[Pathomechanisms of frontotemporal lobar degeneration: from view of clinical neuropathology]
Yuichi Riku, Ryota Kobayashi
Mathematical Biosciences and Engineering : MBE
|
April 24, 2016
Fluctuation scaling in neural spike trains
Shinsuke Koyama, Ryota Kobayashi
Journal of Computational Neuroscience
|
April 18, 2016
Impact of slow K(+) currents on spike generation can be described by an adaptive threshold model
Ryota Kobayashi, Katsunori Kitano
Journal of Alzheimer'S Disease : JAD
|
April 24, 2023
Towards Improved Clinical Diagnosis of Argyrophilic Grain Disease Using Brain Imaging
Shinobu Kawakatsu, Ryota Kobayashi
Neuroscience Research
|
August 4, 2024
Inference of monosynaptic connections from parallel spike trains: A review
Ryota Kobayashi, Shigeru Shinomoto
Cardiology Journal
|
February 13, 2024
Acute effects of the 4-4-8 breathing technique on arterial stiffness in healthy young men
Ryota Kobayashi, Hideyuki Negoro
Bio Systems
|
July 5, 2015
Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints
Lubomir Kostal, Ryota Kobayashi
Frontiers in Psychology
|
September 12, 2022
Relationship between emotion regulation strategies and total conviction in promoting behavior change
Jun Shigematsu, Ryota Kobayashi
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 16, 2007
State space method for predicting the spike times of a neuron
Ryota Kobayashi, Shigeru Shinomoto
Page
of 22