Katsunori Kitano

24 papers C 1Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Continuous Representation of Tactile Information by an Unsupervised Liquid State Machine.
IEEE Access
Katsunori Kitano, Mitsuhito Ando, Haruo Noma
2024 — conf
Network Structure and Recurrent Dynamics Achieved by Maximizing Information Transfer and Minimizing Maintenance Costs of the Network.
ICONIP (2)
Itsuki Kanemura, Katsunori Kitano
2019 — conf
Detection of Directional Information Flow Induced by TMS Based on Symbolic Transfer Entropy.
ICANN (1)
Song Ye, Keiichi Kitajo, Katsunori Kitano
2017 J jnl
Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons.
Frontiers Comput. Neurosci.
Kento Suzuki, Toshio Aoyagi, Katsunori Kitano
2017 — conf
Robust and Adaptable Motor Command Representation with Sparse Coding.
ICANN (1)
Nobuhiro Hinakawa, Katsunori Kitano
2016 — conf
A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina.
ICANN (1)
Kanako Taniguchi, Chieko Koike, Katsunori Kitano
2016 — conf
Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition.
ICANN (1)
Nobuhiro Hinakawa, Katsunori Kitano
2016 J jnl
Impact of slow K+ currents on spike generation can be described by an adaptive threshold model.
J. Comput. Neurosci.
Ryota Kobayashi, Katsunori Kitano
2015 J jnl
Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity.
J. Comput. Neurosci.
Daiki Futagi, Katsunori Kitano
2014 C conf
Pre- and Postsynaptic Properties Regulate Synaptic Competition through Spike-Timing-Dependent Plasticity.
ICANN
Hana Ito, Katsunori Kitano
2013 J jnl
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.
Ryota Kobayashi, Katsunori Kitano
2012 — conf
A Biologically Realizable Bayesian Computation in a Cortical Neural Network.
ICANN (1)
Daiki Futagi, Katsunori Kitano
2012 J jnl
Influences of membrane properties on phase response curve and synchronization stability in a model globus pallidus neuron.
J. Comput. Neurosci.
Tomohiro Fujita, Tomoki Fukai, Katsunori Kitano
2008 — conf
Functional Networks Based on Pairwise Spike Synchrony Can Capture Topologies of Synaptic Connectivity in a Local Cortical Network Model.
ICONIP (1)
Katsunori Kitano, Kazuhiro Yamada
2008 J jnl
Structure of Spontaneous UP and DOWN Transitions Self-Organizing in a Cortical Network Model.
PLoS Comput. Biol.
Siu Kang, Katsunori Kitano, Tomoki Fukai
2007 — conf
Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering.
ICONIP (1)
Hideyuki Câteau, Katsunori Kitano, Tomoki Fukai
2007 J jnl
Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies.
J. Comput. Neurosci.
Katsunori Kitano, Tomoki Fukai
2004 J jnl
Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons.
Neural Networks
Siu Kang, Katsunori Kitano, Tomoki Fukai
2003 J jnl
Time representing cortical activities: two models inspired by prefrontal persistent activity.
Biol. Cybern.
Katsunori Kitano, Hiroshi Okamoto, Tomoki Fukai
2002 J jnl
An accurate and widely applicable method to determine the distribution of synaptic strengths formed by the spike-timing-dependent learning.
Neurocomputing
Hideyuki Câteau, Katsunori Kitano, Tomoki Fukai
2002 J jnl
Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine.
Neurocomputing
Tomoki Fukai, Katsunori Kitano, Toshio Aoyagi, Youngnam Kang
2002 J jnl
Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity.
Neurocomputing
Katsunori Kitano, Hideyuki Câteau, Tomoki Fukai
2001 J jnl
Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons.
Neurocomputing
Katsunori Kitano, Toshio Aoyagi, Tomoki Fukai
1998 J jnl
Retrieval Dynamics in Oscillator Neural Networks.
Neural Comput.
Toshio Aoyagi, Katsunori Kitano