Retrieval Dynamics in Oscillator Neural Networks. - Toshio Aoyagi; Katsunori Kitano (Neural Comput., 1998)

Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons. - Katsunori Kitano; Toshio Aoyagi; Tomoki Fukai (Neurocomputing, 2001)

An accurate and widely applicable method to determine the distribution of synaptic strengths formed by the spike-timing-dependent learning. - Hideyuki Câteau; Katsunori Kitano; Tomoki Fukai (Neurocomputing, 2002)

Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine. - Tomoki Fukai; Katsunori Kitano; Toshio Aoyagi; Youngnam Kang (Neurocomputing, 2002)

Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity. - Katsunori Kitano; Hideyuki Câteau; Tomoki Fukai (Neurocomputing, 2002)

Time representing cortical activities: two models inspired by prefrontal persistent activity. - Katsunori Kitano; Hiroshi Okamoto; Tomoki Fukai (Biol. Cybern., 2003)

Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons. - Siu Kang; Katsunori Kitano; Tomoki Fukai (Neural Networks, 2004)

Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering. - Hideyuki Câteau; Katsunori Kitano; Tomoki Fukai (ICONIP (1), 2007)

Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies. - Katsunori Kitano; Tomoki Fukai (J. Comput. Neurosci., 2007)

Functional Networks Based on Pairwise Spike Synchrony Can Capture Topologies of Synaptic Connectivity in a Local Cortical Network Model. - Katsunori Kitano; Kazuhiro Yamada (ICONIP (1), 2008)

Structure of Spontaneous UP and DOWN Transitions Self-Organizing in a Cortical Network Model. - Siu Kang; Katsunori Kitano; Tomoki Fukai (PLoS Comput. Biol., 2008)

A Biologically Realizable Bayesian Computation in a Cortical Neural Network. - Daiki Futagi; Katsunori Kitano (ICANN (1), 2012)

Influences of membrane properties on phase response curve and synchronization stability in a model globus pallidus neuron. - Tomohiro Fujita; Tomoki Fukai; Katsunori Kitano (J. Comput. Neurosci., 2012)

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 (J. Comput. Neurosci., 2013)

Pre- and Postsynaptic Properties Regulate Synaptic Competition through Spike-Timing-Dependent Plasticity. - Hana Ito; Katsunori Kitano (ICANN, 2014)

Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity. - Daiki Futagi; Katsunori Kitano (J. Comput. Neurosci., 2015)

Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition. - Nobuhiro Hinakawa; Katsunori Kitano (ICANN (1), 2016)

A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina. - Kanako Taniguchi; Chieko Koike; Katsunori Kitano (ICANN (1), 2016)

Impact of slow K+ currents on spike generation can be described by an adaptive threshold model. - Ryota Kobayashi; Katsunori Kitano (J. Comput. Neurosci., 2016)

Robust and Adaptable Motor Command Representation with Sparse Coding. - Nobuhiro Hinakawa; Katsunori Kitano (ICANN (1), 2017)

Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons. - Kento Suzuki; Toshio Aoyagi; Katsunori Kitano (Frontiers Comput. Neurosci., 2017)

Detection of Directional Information Flow Induced by TMS Based on Symbolic Transfer Entropy. - Song Ye; Keiichi Kitajo; Katsunori Kitano (ICANN (1), 2019)

Network Structure and Recurrent Dynamics Achieved by Maximizing Information Transfer and Minimizing Maintenance Costs of the Network. - Itsuki Kanemura; Katsunori Kitano (ICONIP (2), 2024)