Katsunori Kitano

Orcid: 0000-0002-3209-6022

According to our database1, Katsunori Kitano authored at least 22 papers between 1998 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Detection of Directional Information Flow Induced by TMS Based on Symbolic Transfer Entropy.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2017
Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons.
Frontiers Comput. Neurosci., 2017

Robust and Adaptable Motor Command Representation with Sparse Coding.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Impact of slow K+ currents on spike generation can be described by an adaptive threshold model.
J. Comput. Neurosci., 2016

A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity.
J. Comput. Neurosci., 2015

2014
Pre- and Postsynaptic Properties Regulate Synaptic Competition through Spike-Timing-Dependent Plasticity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
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., 2013

2012
Influences of membrane properties on phase response curve and synchronization stability in a model globus pallidus neuron.
J. Comput. Neurosci., 2012

A Biologically Realizable Bayesian Computation in a Cortical Neural Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2008
Structure of Spontaneous UP and DOWN Transitions Self-Organizing in a Cortical Network Model.
PLoS Comput. Biol., 2008

Functional Networks Based on Pairwise Spike Synchrony Can Capture Topologies of Synaptic Connectivity in a Local Cortical Network Model.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies.
J. Comput. Neurosci., 2007

Interactions between Spike-Timing-Dependent Plasticity and Phase Response Curve Lead to Wireless Clustering.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2004
Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons.
Neural Networks, 2004

2003
Time representing cortical activities: two models inspired by prefrontal persistent activity.
Biol. Cybern., 2003

2002
Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity.
Neurocomputing, 2002

Modeling the layer V cortical pyramidal neurons showing theta-rhythmic firing in the presence of muscarine.
Neurocomputing, 2002

An accurate and widely applicable method to determine the distribution of synaptic strengths formed by the spike-timing-dependent learning.
Neurocomputing, 2002

2001
Synchronous and asynchronous activities in a network model of the striatal spiny projection neurons.
Neurocomputing, 2001

1998
Retrieval Dynamics in Oscillator Neural Networks.
Neural Comput., 1998


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