Papers
Number of the published data : 21
No. Title of presented paper Author's name etc. Journal name Volume/issue,page Date of Publication ISSN DOI URL
1 A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina
Taniguchi K, Kitano K
Lecture Notes in Computer Science
9886, 63-71
2016

10.1007/978-3-319-44778-0_8

2 Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition
Hinakawa H, Kitano K
Lecture Notes in Computer Science
9886, 11-18
2016

10.1007/978-3-319-44778-0_2

3 Impact of slow K+ currents on spike generation can be described by an adaptive threshold model
Kobayashi K, Kitano K
Journal of Computational Neuroscience
40, 347-362
2016

10.1007/s10827-016-0601-0

4 The neural network with a biologically possible architecture implementing Bayesian estimation can reproduce Pieron’s law
Futagi D, Kitano K
Nonlinear Theory and Its Applications
7, 146-155
2016

10.1587/nolta.7.146

5 A method for estimating of synaptic connectivity from spike data of multiple neurons
Kobayashi K, Kitano K
Nonlinear Theory and Its Applications
7, 156-163
2016

10.1587/nolta.7.156

6 Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity
Futagi D, Kitano K
Journal of Computational Neuroscience
39, 329-347
2015

10.1007/s10827-015-0579-z

7 Pre- and postsynaptic properties regulate synaptic competition through spike-timing-dependent plasticity
Ito H, Kitano K
Lecture Notes in Computer Science
8681, 733-740
2014

10.1007/978-3-319-11179-7_92

8 Population coding is essential for rapid information processing in the moth antennal lobe
Kobayashi R, Namiki S, Kanzaki R, Kitano K, Nishikawa I, Lansky P
Brain Research
1536, 88-96
2013

10.1016/j.brainres.2013.05.007

9 Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model
Kobayashi R, Kitano K
Journal of Computational Neuroscience
35, 109-124
2013

10.1007.s10827-013-0443-y

10 A biologically realizable Bayesian computation in a cortical neural network
Futagi D, Kitano K
Lecture Notes in Computer Science
7752, 247-254
2012

10.1007/978-3-642-33269-2_32

11 Influences of membrane properties on phase response curve and synchronization stability in a model globus pallidus neuron
Fujita T, Fukai T & Kitano K
Journal of Computational Neuroscience
32, 539-553
2012

10.1007/s10827-011-0368-2

12 Selective participation of somatodendritic HCN channels in inhibitory but not excitatory synaptic integration in neurons of the subthalamic nucleus
Atherton JF, Kitano K, Baufreton J, Fan K, Wokosin D, Tkatch T, Shigemoto R, Surmeier DJ, Bevan MD
Journal of Neuroscience
30/ 47, 16025-16040
11/2010



13 Structure of spontaneous UP and DOWN transistions self-organizing in a cortical network model
Siu Kang, Katsunori Kitano and Tomoki Fukai
PLoS Computational Biology
4, e1000022
2008



14 Interplay between a phase response curve and spike-timing-dependent plasticity leads to wireless clustering
Hideyuki Câteau, Katsunori Kitano and Tomoki Fukai
Physical Review E
77/ 051909
2008



15 Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies
Tomoki Fukai
Journal of Computational Neuroscience

2007

10.1007/s10827-007-0030-1

16 Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons
Siu Kang, Katsunori Kitano and Tomoki Fukai
Neural Networks
17, 307-312
2004



17 Temporal characteristics of the predictive synchronous firing emergent from spike-timing-dependent plasticity
Tomoki Fukai
Learning & Memory
11, 267-276
2004



18 Time representing cortical activities: two models inspired by prefrontal persistent activity
Katsunori Kitano, Hiroshi Okamoto and Tomoki Fukai
Biological Cybernetics
88, 387-394
2003



19 Self-organization of memory activity through spike-timing-dependent plasticity
Hideyuki Cateau and Tomoki Fukai
NeuroReport
13, 795-798
2002



20 Two-state Membrane Potential Transitions of Striatal Spiny Neurons as Evidenced by Numerical Simulations and Electrophysiological Recordings in Awake Monkeys
Hideyuki Cateau, Katsuyuki Kaneda, Atsushi Nambu, Masahiko Takada, Tomoki Fukai
Journal of Neuroscience
22, RC230(1-6)
2002



21 A possible functional organization of the corticostriatal input within the weakly-correlated striatal activity: a modeling study
Katsunori Kitano, Toshio Aoyagi, and Tomoki Fukai
Neuroscience Research
40, 87-96
2001