K. Kitano

发表

Temporal characteristics of the predictive synchronous firing modeled by spike-timing-dependent plasticity.

T. Fukai, K. Kitano, 2004, Learning & memory.

Two-State Membrane Potential Transitions of Striatal Spiny Neurons as Evidenced by Numerical Simulations and Electrophysiological Recordings in Awake Monkeys

T. Fukai, A. Nambu, M. Takada, 2002, The Journal of Neuroscience.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

spike-timing-dependent plasticity

Katsunori Kitano, Tomoki Fukai, Hideyuki Câteau, 2002 .

Effect of membrane property modulations by dopamine on synchronous/asynchronous activity in a network of globus pallidus externus

T. Fukai, K. Kitano, T. Fujita, 2008, BMC Neuroscience.

The Rho/Rho‐kinase Systems Are Involved in Rapid Pacing‐induced Changes of Atrial Refractory Period in a Canine Model

S. Kaneko, K. Kitano, S. Usui, 2006 .

Different Activity Patterns in Retinal Ganglion Cells of TRPM1 and mGluR6 Knockout Mice

M. Tachibana, Y. Tsubo, K. Kitano, 2017, BioMed research international.

Benidipine reduces ischemia reperfusion-induced systemic oxidative stress through suppression of aldosterone production in mice

S. Kaneko, K. Kitano, S. Usui, 2012, Hypertension Research.

Fukai Modeled by Spike-Timing-Dependent Plasticity Temporal Characteristics of the Predictive Synchronous Firing

T. Fukai, K. Kitano, 2004 .

Association between different sensory modalities based on concurrent time series data obtained by a collaborative reservoir computing model

K. Kitano, Itsuki Kanemura, 2023, Scientific Reports.

Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity

Daiki Futagi, Katsunori Kitano, K. Kitano, 2015, Journal of Computational Neuroscience.

Selective Participation of Somatodendritic HCN Channels in Inhibitory But Not Excitatory Synaptic Integration in Neurons of the Subthalamic Nucleus

D. Surmeier, R. Shigemoto, M. Bevan, 2010, The Journal of Neuroscience.

Structure of Spontaneous UP and DOWN Transitions Self-Organizing in a Cortical Network Model

Katsunori Kitano, Siu Kang, Tomoki Fukai, 2008, PLoS Comput. Biol..

Impact of slow K+ currents on spike generation can be described by an adaptive threshold model

Katsunori Kitano, Ryota Kobayashi, K. Kitano, 2016, Journal of Computational Neuroscience.

Gene delivery to cone photoreceptors by subretinal injection of rAAV2/6 in the mouse retina.

K. Kitano, Satoru Moritoh, Kenta Kobayashi, 2019, Biochemical and biophysical research communications.

Rho-Kinase Activation in Leukocytes Plays a Pivotal Role in Myocardial Ischemia/Reperfusion Injury

S. Kaneko, K. Kitano, H. Murai, 2014, PloS one.

A neural network with a biologically possible architecture can implement Bayesian estimation and reproduce Piéron's law

Daiki Futagi, Katsunori Kitano, K. Kitano, 2016 .

Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine

Katsunori Kitano, Tomoki Fukai, Toshio Aoyagi, 2002, Neurocomputing.

Time representing cortical activities: two models inspired by prefrontal persistent activity

Katsunori Kitano, Tomoki Fukai, Hiroshi Okamoto, 2003, Biological Cybernetics.

Design of the mammalian cone photoreceptor to Off bipolar cell synapse

S. DeVries, Jun Shi, K. Kitano, 2022, bioRxiv.

Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity

K. Kitano, Daiki Futagi, 2015, Journal of Computational Neuroscience.

Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity

Katsunori Kitano, Tomoki Fukai, Hideyuki Câteau, 2002, Neurocomputing.

Reconstructing neuronal circuitry from parallel spike trains

Katsunori Kitano, Barry J. Richmond, Shigeru Shinomoto, 2018, Nature Communications.

Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons

Katsunori Kitano, Siu Kang, Tomoki Fukai, 2004, Neural Networks.

Generation of Spontaneous Two-State Transitions in a Network of Realistically Modeled Cortical Neurons

Katsunori Kitano, Siu Kang, Tomoki Fukai, 2004 .

Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons

Katsunori Kitano, Tomoki Fukai, Toshio Aoyagi, 2001, Neurocomputing.

A possible functional organization of the corticostriatal input within the weakly-correlated striatal activity: a modeling study

Katsunori Kitano, Tomoki Fukai, Toshio Aoyagi, 2001, Neuroscience Research.

Information-theoretic approach to detect directional information flow in EEG signals induced by TMS

Katsunori Kitano, Keiichi Kitajo, Song Ye, 2020, Neuroscience Research.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons

Katsunori Kitano, Toshio Aoyagi, Kento Suzuki, 2018, Front. Comput. Neurosci..

Retrieval Dynamics in Oscillator Neural Networks

Katsunori Kitano, Toshio Aoyagi, T. Aoyagi, 1998, Neural Computation.

LETTER TO THE EDITOR: Retrieval dynamics of neural networks for sparsely coded sequential patterns

Katsunori Kitano, Toshio Aoyagi, T. Aoyagi, 1998, cond-mat/9805135.

A Biologically Realizable Bayesian Computation in a Cortical Neural Network

Daiki Futagi, Katsunori Kitano, K. Kitano, 2012, ICANN.

Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies

Katsunori Kitano, Tomoki Fukai, T. Fukai, 2007, Journal of Computational Neuroscience.

PE-140 Interaction of endotheline and aldosterone impaired exercise induced coronary response during exercise in heart failure(Coronary Circulation, Basic/Clinical 1 (IHD) : PE24)(Poster Session (English))

K. Kitano, H. Murai, S. Takata, 2004 .

Interplay between a phase response curve and spike-timing-dependent plasticity leading to wireless clustering.

Katsunori Kitano, Tomoki Fukai, Hideyuki Câteau, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

The network configuration in Parkinsonian state compensates network activity change caused by loss of dopamine

K. Kitano, 2023, Physiological reports.

Mechanisms of simultaneous linear and nonlinear computations at the mammalian cone photoreceptor synapse

E. A. Schwartz, S. DeVries, Jun Shi, 2023, Nature communications.

Impact of slow K+ currents on spike generation can be described by an adaptive threshold model

K. Kitano, R. Kobayashi, 2016, Journal of Computational Neuroscience.

Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model

K. Kitano, R. Kobayashi, 2013, Journal of Computational Neuroscience.

A method for estimating of synaptic connectivity from spike data of multiple neurons

Katsunori Kitano, Ryota Kobayashi, K. Kitano, 2016 .

Population coding is essential for rapid information processing in the moth antennal lobe

Katsunori Kitano, Ryohei Kanzaki, Ryota Kobayashi, 2013, Brain Research.

EFFECT OF RANDOM SYNAPTIC DILUTION IN OSCILLATOR NEURAL NETWORKS

Katsunori Kitano, Toshio Aoyagi, T. Aoyagi, 1997 .

Properties of associative memory neural networks concerning biological information encoding

Katsunori Kitano, K. Kitano, 2000 .

Influences of membrane properties on phase response curve and synchronization stability in a model globus pallidus neuron

Katsunori Kitano, Tomoki Fukai, Tomohiro Fujita, 2011, Journal of Computational Neuroscience.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Romain D. Cazé, Alfred B. Yu, Derek K. Jones, 2017, BMC Neuroscience.

A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina

Katsunori Kitano, Kanako Taniguchi, Chieko Koike, 2016, ICANN.