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

論文
1.	2024/06/13	Emergence of input selective recurrent dynamics via information transfer maximization │ Scientific Reports │ 14,13631 (共著)
2.	2023/06	Mechanisms of simultaneous linear and nonlinear computations at the mammalian cone photoreceptor synapse. │ Nature communications │ 14 (1),3486 (共著)
3.	2023/02	The network configuration in Parkinsonian state compensates network activity change caused by loss of dopamine. │ Physiological reports │ 11 (4),e15612 (単著)
4.	2023/01	Association between different sensory modalities based on concurrent time series data obtained by a collaborative reservoir computing model. │ Scientific reports │ 13 (1),173 (共著)
5.	2020	Information-theoretic approach to detect directional information flow in EEG signals induced by TMS │ Neuroscience Research │ (共著)
6.	2019	Gene delivery to cone photoreceptors by subretinal injection of rAAV2/6 in the mouse retina │ Biochemical and Biophysical Research Communications │ 515,222-227頁 (共著)
7.	2019	Reconstructing neuronal circuitry from parallel spike trains │ Nature Communications │ 10,4468 (共著)
8.	2018	Bayesian estimation of phase dynamics based on partially sampled spikes generated by realistic model neurons │ Frontiers in Computational Neuroscience │ 11,116 (共著)
9.	2018	Different activity patterns in retinal ganglion cells of TRPM1 and mGluR6 knockout mice │ BioMed Research International │ 2018,2963232 (共著)
10.	2016	A method for estimating of synaptic connectivity from spike data of multiple neurons │ Nonlinear Theory and Its Applications │ 7,156-163頁 (共著)
11.	2016	A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina │ Lecture Notes in Computer Science │ 9886,63-71頁 (共著)
12.	2016	Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition │ Lecture Notes in Computer Science │ 9886,11-18頁 (共著)
13.	2016	Impact of slow K+ currents on spike generation can be described by an adaptive threshold model │ Journal of Computational Neuroscience │ 40,347-362頁 (共著)
14.	2016	The neural network with a biologically possible architecture implementing Bayesian estimation can reproduce Pieron’s law │ Nonlinear Theory and Its Applications │ 7,146-155頁 (共著)
15.	2015	Ryanodine-receptor-driven intracellular calcium dynamics underlying spatial association of synaptic plasticity │ Journal of Computational Neuroscience │ 39,329-347頁 (共著)
16.	2015	脳のシミュレーションを始めるために │ 人工知能学会誌 │ 30 (5),607-615頁 (単著)
17.	2014	Pre- and postsynaptic properties regulate synaptic competition through spike-timing-dependent plasticity │ Lecture Notes in Computer Science │ 8681,733-740頁 (共著)
18.	2013	Impact of network topology on inference of synaptic connectivity from multi-neuronal spike data simulated by a large-scale cortical network model │ Journal of Computational Neuroscience │ 35,109-124頁 (共著)
19.	2013	Population coding is essential for rapid information processing in the moth antennal lobe │ Brain Research │ 1536,88-96頁 (共著)
20.	2012	A biologically realizable Bayesian computation in a cortical neural network │ Lecture Notes in Computer Science │ 7752,247-254頁 (共著)
21.	2012	Influences of membrane properties on phase response curve and synchronization stability in a model globus pallidus neuron │ Journal of Computational Neuroscience │ 32,539-553頁 (共著)
22.	2010/11	Selective participation of somatodendritic HCN channels in inhibitory but not excitatory synaptic integration in neurons of the subthalamic nucleus │ Journal of Neuroscience │ 30 (47),16025-16040頁 (共著)
23.	2008	Interplay between a phase response curve and spike-timing-dependent plasticity leads to wireless clustering │ Physical Review E │ 77 (051909) (共著)
24.	2008	Structure of spontaneous UP and DOWN transistions self-organizing in a cortical network model │ PLoS Computational Biology │ 4,e1000022 (共著)
25.	2007	Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies │ Journal of Computational Neuroscience │ (共著)
26.	2004	Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons │ Neural Networks │ 17,307-312頁 (共著)
27.	2004	Temporal characteristics of the predictive synchronous firing emergent from spike-timing-dependent plasticity │ Learning & Memory │ 11,267-276 (共著)
28.	2003	Time representing cortical activities: two models inspired by prefrontal persistent activity │ Biological Cybernetics │ 88,387-394頁 (共著)
29.	2002	Self-organization of memory activity through spike-timing-dependent plasticity │ NeuroReport │ 13,795-798頁 (共著)
30.	2002	Two-state Membrane Potential Transitions of Striatal Spiny Neurons as Evidenced by Numerical Simulations and Electrophysiological Recordings in Awake Monkeys │ Journal of Neuroscience │ 22,RC230(1-6) (共著)
31.	2001	A possible functional organization of the corticostriatal input within the weakly-correlated striatal activity: a modeling study │ Neuroscience Research │ 40,87-96頁 (共著)