Kazushi Murakoshi and Satoshi Fujikawa.
Growing hierarchical self-organizing map method using category
utility.
International Journal of Software Engineering and Knowledge
Engineering, Vol. 26, No. 2, pp. 217-237, 2016.
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Kazushi Murakoshi and Mai Miura.
Image correction method for the colour contrast effect using inverse
processes of the brain.
Biosystems, Vol. 101, No. 3, pp. 162-166, August 2010.
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Kazushi Murakoshi and Mayuko Saito.
A neural circuit model of emotional learning using two pathways with
different granularity and speed of information processing.
Biosystems, Vol. 95, No. 2, pp. 150-154, February 2009.
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Kazushi Murakoshi and Tora Sawaguchi.
A neural circuit model for changing in the amount of information
maintained in short-term memory depending on stimuli relationships.
Biosystems, Vol. 95, No. 1, pp. 26-29, January 2009.
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Kazushi Murakoshi and Kyoji Suganuma.
A neural circuit model forming semantic network with exception using
spike-timing-dependent plasticity of inhibitory synapses.
Biosystems, Vol. 90, No. 3, pp. 903-910, November-December
2007.
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Kazushi Murakoshi and Yuichi Sato.
Reducing topological defects in self-organizing maps using multiple
scale neighborhood functions.
Biosystems, Vol. 90, No. 1, pp. 101-104, July-August 2007.
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絨作, 村越一支.
STDPを用いたエピソード記憶から意味記憶を形成する神経回路モデル.
電子情報通信学会論文誌（D-II）, Vol. J88-D-II, No. 10, pp.
2134-2143, October 2005.
(Transrated to Yusaku Kobayashi and Kazushi Murakoshi: A neural
circuit model forming semantic memory from episodic memory using STDP,
Electronics and Communications in Japan (Part II: Electronics), Vol. 90, No.
2, pp. 54-63. (Feb. 2007)).
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Kazushi Murakoshi and Takuya Noguchi.
Simulation of rat behavior by a reinforcement learning algorithm in
consideration of appearance probabilities of reinforcement signals.
Biosystems, Vol. 80, No. 1, pp. 83-90, April 2005.
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Kazushi Murakoshi.
Avoiding overfitting in multilayer perceptrons with
feeling-of-knowing using self-organizing maps.
Biosystems, Vol. 80, No. 1, pp. 37-40, April 2005.
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Kazushi Murakoshi and Junya Mizuno.
A parameter control method in reinforcement learning to rapidly
follow unexpected environmental changes.
Biosystems, Vol. 77, No. 1-3, pp. 109-117, November 2004.
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Kazushi Murakoshi and Kiyohiko Nakamura.
Firing patterns depending on model neurons.
IEICE Transactions on Information and Systems, Vol. E84-D,
No. 3, pp. 394-402, March 2001.
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大出訓史, 村越一支, 中村清彦.
単一細胞モデルによる発火タイミングの再現性の解析.
電子情報通信学会論文誌（D-II）, Vol. J82-D-II, No. 12, pp.
2402-2411, December 1999.
(Transrated to Satoshi Oode, Kazushi Murakoshi and Kiyohiko Nakamura:
Analysis of the reliability and precision of spike timing by a single model
neuron, Systems and Computers in Japan, Vol. 31, No. 13, pp. 1-10. (Nov.
2000)).
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村越一支, 中村清彦.
スパイク干渉による神経細胞の発火時刻の解析.
電子情報通信学会論文誌（D-II）, Vol. J82-D-II, No. 12, pp.
2385-2393, December 1999.
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村越一支, 山口秀敏, 倉田是.
線画の立体知覚における注視点および図形提示角度の依存性.
電子情報通信学会論文誌（D-II）, Vol. J80-D-II, No. 2, pp. 634-641,
February 1997.
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村越一支, 三上勝正, 倉田是.
単眼視２次元図形の奥行き感計算モデル.
電子情報通信学会論文誌（D-II）, Vol. J80-D-II, No. 1, pp. 286-294,
January 1997.
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Kazushi Murakoshi and Tadashi Kurata.
A simulation environment for designing and examining biological
neural network models.
IEICE Transactions on Information and Systems, Vol. E79-D,
No. 8, pp. 1212-1216, August 1996.
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Kazushi Murakoshi and Junya Mizuno.
A parameter control method inspired from neuromodulators in
reinforcement learning.
IEEE International Symposium on Computational Intelligence in
Robotics and Automation, Vol. 1, pp. 7-12, July 2003.
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Kazushi Murakoshi and Kiyohiko Nakamura.
A model study of dopaminergic effect on long-term potentiation.
International Conference on Neural Information Processing,
Vol. 1, pp. 312-317, November 2000.
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Kazushi Murakoshi and Kiyohiko Nakamura.
Effect of dopamine on action potentials in multicompartment model
neuron.
Society for Neuroscience Abstracts, Vol. 26, No. 536.5, p.
1432, November 2000.
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Kazushi Murakoshi and Kiyohiko Nakamura.
Synchrony and asynchrony of coincident spikes of neural populations
depending on line drawings.
IEEE-INNS-ENNS International Joint Conference on Neural
Networks, Vol. V, pp. 442-445, July 2000.
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Kazushi Murakoshi and Kiyohiko Nakamura.
Firing time of neuron by interference between synaptic inputs.
IEEE International Conference on Systems, Man and Cybernetics,
Vol. II, pp. 377-382, October 1999.
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Kazushi Murakoshi and Kiyohiko Nakamura.
Gamma oscillatory coincidence by interference of spikes in circular
and lateral mutual connective model.
Society for Neuroscience Abstracts, Vol. 25, No. 270.6, p. 676,
October 1999.
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Kazushi Murakoshi and Kiyohiko Nakamura.
A neural mechanism of adjusting timing of spikes by intensity of
input for dynamic coding.
Society for Neuroscience Abstracts, Vol. 24, No. 655.12, p.
1672, November 1998.
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Kazushi Murakoshi and Tadashi Kurata.
A simulation environment for designing and examining biological
neural network models.
Joint Technical Conference on Circuits/Systems, Computers and
Communications, Vol. II, pp. 839-844, July 1994.
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