in Japanese
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  • Journal Papers

    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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    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, February 2007. Translated from Denshi Joho Tsushin Gakkai Ronbunshi D-II (IEICE Transactions on Information and Systems, Pt.2 (Japanese Edition)), Vol. J88-D-II, No. 10, pp. 2134-2143 (Oct. 2005).
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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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    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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    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, November 2000. Translated from Denshi Joho Tsushin Gakkai Ronbunshi D-II (IEICE Transactions on Information and Systems, Pt.2 (Japanese Edition)), Vol. J82-D-II, No. 12, pp. 2402-2411 (Dec. 1999).
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    Kazushi Murakoshi and Kiyohiko Nakamura. Analysis of change in spike timing with interference between synaptic inputs. Denshi Joho Tsushin Gakkai Ronbunshi D-II (IEICE Transactions on Information and Systems, Pt.2 (Japanese Edition)), Vol. J82-D-II, No. 12, pp. 2385-2393, December 1999.
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    Kazushi Murakoshi, Hidetoshi Yamaguchi, and Tadashi Kurata. Depth perception of line drawings depending on first gaze point and angle of drawings. Denshi Joho Tsushin Gakkai Ronbunshi D-II (IEICE Transactions on Information and Systems, Pt.2 (Japanese Edition)), Vol. J80-D-II, No. 2, pp. 634-641, February 1997.
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    Kazushi Murakoshi, Katsumasa Mikami, and Tadashi Kurata. A computational model of feeling of depth from monocular 2-D figures. Denshi Joho Tsushin Gakkai Ronbunshi D-II (IEICE Transactions on Information and Systems, Pt.2 (Japanese Edition)), 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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    International Conference Papers

    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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    Last update: Thu Jun 16 18:49:46 JST 2016


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