Katsunori Kitano

Publication Activity (10 Years)

Years Active: 1998-2019
Publications (10 Years): 7

Top Topics

Synaptic Plasticity

Network Topology

Bayesian Estimation

Top Venues

J. Comput. Neurosci.

Frontiers Comput. Neurosci.

Publications

Song Ye, Keiichi Kitajo, Katsunori Kitano
Detection of Directional Information Flow Induced by TMS Based on Symbolic Transfer Entropy. ICANN (1) (2019)
Kento Suzuki, Toshio Aoyagi, Katsunori Kitano
Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons. Frontiers Comput. Neurosci. 11 (2017)
Nobuhiro Hinakawa, Katsunori Kitano
Robust and Adaptable Motor Command Representation with Sparse Coding. ICANN (1) (2017)
Nobuhiro Hinakawa, Katsunori Kitano
Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition. ICANN (1) (2016)
Kanako Taniguchi, Chieko Koike, Katsunori Kitano
A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina. ICANN (1) (2016)
Ryota Kobayashi, Katsunori Kitano
Impact of slow K+ currents on spike generation can be described by an adaptive threshold model. J. Comput. Neurosci. 40 (3) (2016)
Daiki Futagi, Katsunori Kitano
Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity. J. Comput. Neurosci. 39 (3) (2015)
Hana Ito, Katsunori Kitano
Pre- and Postsynaptic Properties Regulate Synaptic Competition through Spike-Timing-Dependent Plasticity. ICANN (2014)
Ryota Kobayashi, Katsunori Kitano
Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model. J. Comput. Neurosci. 35 (1) (2013)
Tomohiro Fujita, Tomoki Fukai, Katsunori Kitano
Influences of membrane properties on phase response curve and synchronization stability in a model globus pallidus neuron. J. Comput. Neurosci. 32 (3) (2012)
Daiki Futagi, Katsunori Kitano
A Biologically Realizable Bayesian Computation in a Cortical Neural Network. ICANN (1) (2012)
Siu Kang, Katsunori Kitano, Tomoki Fukai
Structure of Spontaneous UP and DOWN Transitions Self-Organizing in a Cortical Network Model. PLoS Comput. Biol. 4 (3) (2008)
Katsunori Kitano, Kazuhiro Yamada
Functional Networks Based on Pairwise Spike Synchrony Can Capture Topologies of Synaptic Connectivity in a Local Cortical Network Model. ICONIP (1) (2008)
Hideyuki Câteau, Katsunori Kitano, Tomoki Fukai
Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering. ICONIP (1) (2007)
Katsunori Kitano, Tomoki Fukai
Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies. J. Comput. Neurosci. 23 (2) (2007)
Siu Kang, Katsunori Kitano, Tomoki Fukai
Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons. Neural Networks 17 (3) (2004)
Katsunori Kitano, Hiroshi Okamoto, Tomoki Fukai
Time representing cortical activities: two models inspired by prefrontal persistent activity. Biol. Cybern. 88 (5) (2003)
Hideyuki Câteau, Katsunori Kitano, Tomoki Fukai
An accurate and widely applicable method to determine the distribution of synaptic strengths formed by the spike-timing-dependent learning. Neurocomputing (2002)
Katsunori Kitano, Hideyuki Câteau, Tomoki Fukai
Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity. Neurocomputing (2002)
Tomoki Fukai, Katsunori Kitano, Toshio Aoyagi, Youngnam Kang
Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine. Neurocomputing (2002)
Katsunori Kitano, Toshio Aoyagi, Tomoki Fukai
Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons. Neurocomputing (2001)
Toshio Aoyagi, Katsunori Kitano
Retrieval Dynamics in Oscillator Neural Networks. Neural Comput. 10 (6) (1998)