研究者学術情報データベース

キタノ　カツノリ
北野　勝則
KITANO Katsunori

所属情報理工学部情報理工学科

職名教授

学会発表
1.	2019/10/21	Changes in electroencephalogram phase dynamics induced by transcranial magnetic stimulation (Neuroscience 2019)
2.	2019/10/12	多点計測データに対する機能的結合解析 (第26回日本時間生物学会)
3.	2019/09/17	Detection of directional information flow induced by TMS based on symbolic transfer entropy (ICANN 2019)
4.	2019/09/01	A spike sorting method using differencing-based feature extraction and HDBSCAN (Neuroinformatics 2019)
5.	2018/11/05	Short-term plasticity and upregulation of bipolar-ganglion synapses can resolve the neural states both in the normal and the rd1 retinas (Neuroscience 2018)
6.	2018/07/10	Impaired neuronal response leads to hyperexcitable sezure-like network bursts through synaptic scaling (11th Forum of Neuroscience)
7.	2017/11	Direct estimation of the phase dynamics from spikes of realistically modeled neurons by Bayesian estimation (Neuroscience 2017)
8.	2017/09/14	Robust and adaptable motor command representation by sparse coding (International Conference on Artificial Neural Networks ICANN2017)
9.	2017/07/17	Contribution of short-term plasticity of the bipolar-ganglion synapse to the activity both in the normal and the degenerating rd1 retina (Computational Neuroscience CNS2017)
10.	2017/03/26	病変網膜における自発振動活動発生メカニズム (第137回日本薬学会年会)
11.	2016/11/04	Potential roles of intracellular calcium dynamics regulated by calcium stores for spatial association of synaptic plasticity (Neuroscience 2016)
12.	2016/09/09	A potential mechanism for spontaneous oscillatory activity in the degenerative mouse retina (The 25th International Conference on Artificial Neural Networks)
13.	2016/09/06	Effect of pre- and postsynaptic firing patterns on synaptic competition (The 25th International Conference on Artificial Neural Networks)
14.	2016/08/25	ON型双極細胞視覚伝達チャネルTRPM1とmGluR6ノックアウトマウス網膜の比較解析 (第20回視覚科学フォーラム)
15.	2011	Dopamine-dependent cellular plasticity induces normal/pathological neural response of a subthalamic neuron model (Japan Society for Simulation Technology Annual Conference)
16.	2009/10	Dopaminergic modulation of neural activity in a computational model of subthalamic nucleus and globus pallidus network (Asia Simulation Conference 2009)
17.	2009/09	局所大脳皮質神経活動から構成された機能的神経回路の特性 (第32回神経科学大会)
18.	2009/09	細胞膜特性により調節される淡蒼球神経回路の同期活動 (第32回神経科学大会)
19.	2009/07	Dopamine-dependent dynamical state changes in network models of subthalamic nucleus and globus pallidus (the 36th International Congress of Physiological Sciences)
20.	2008/11	Functional networks based on pairwise spike synchrony can capture topologies of synaptic connectivity in a local cortical network model (International Conference on Neural Information Processing (ICONIP 2008))
21.	2008/07	Effect of membrane property modulations by dopamine on synchronous/asynchronous activity in a network of globus pallidus externus (Computational Neuroscience Meeting (CNS 2008))
22.	2008/07	ドーパミンによる細胞膜特性修飾作用が淡蒼球外節神経活動の同期特性を変化させる (第31回神経科学大会)
23.	2008/07	局所皮質神経回路モデルの神経活動から導かれた機能的回路結合のトポロジー (第31回神経科学大会)
24.	2008/07	視床下核ー淡蒼球外接神経回路モデルにおける神経活動時空間パターンの回路パターンに対する依存性 (第31回神経科学大会)
25.	2007/07	Dynamical modes in a computational model of the subthalamo-pallidal circuit (第30回神経科学大会)
26.	2007/07	Relationship between synaptic and functional connections of a local cortical network model (Computational Neuroscience Meeting (CNS 2007))
27.	2006/11	Impact of neuronal wiring patterns on variability of spontaneous spiking activity in a cortical network model (Society for Neuroscience Annual Meeting)
28.	2006/09	時間構造をもつ入力に対する視床下核神経回路の同期・非同期特性 (第20回神経回路学会全国大会)
29.	2006/07	Dependence of synchnony in the subthalamic network on temporal characteristics of afferent inputs (第29回神経回路学会全国大会)
30.	2005/09	回路形態が神経活動パターンに与える影響 (第19回神経回路学会全国大会)
31.	2005/07	Dependence of spike patterns of connection topology of a neural network: spike synchrony in a small-world neural network (第28回日本神経科学大会)
32.	2003/07	Does the temporal precision of spike coincidences represent animal’s elevated expectation of predictable events? (Computational Neuroscience Meeting (CNS 2003))
33.	2002	An accurate and widely applicable method to determine the distribution of synaptic strengths formed by the spike-timing-dependent leaning (Neurocomputing)
34.	2002	Modeling the layer V cortical pyramidal neurons showing θrhythmic firing in presence of muscarine (Neurocomputing)
35.	2002	Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity (Neurocomputing)
36.	2002	予測的同期活動の生成におけるスパイク時間依存シナプス可塑性の役割 (日本神経回路学会第12回全国大会)