[Journal Papers] [Conference Papers] [Others]
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).
[DOI-link]
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 (Aug. 2010).
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 (Feb. 2009).
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 (Jan. 2009).
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 (Nov.-Dec. 2007).
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-Aug. 2007).
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).
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).
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 (Apr. 2005).
Kazushi Murakoshi.
Avoiding overfitting in multilayer perceptrons with feeling-of-knowing using
self-organizing maps.
Biosystems, Vol. 80, No. 1, pp. 37-40 (Apr. 2005).
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 (Nov. 2004).
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 (Mar. 2001).
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).
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).
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 (Dec. 1999).
[Abstract]
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
(Feb. 1997).
[Abstract]
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
(Jan. 1997).
[Abstract]
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 (Aug. 1996).
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, .
Kobe, Japan (July 2003).
Kazushi Murakoshi and Kiyohiko Nakamura. A model study of dopaminergic effect on long-term potentiation. International Conference on Neural Information Processing, Vol. 1, . Taejon, Korea (Nov. 2000).
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. New Orleans, Louisiana (Nov. 2000).
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, .
Como, Italy (July 2000).
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. Miami Beach, Florida (Oct. 1999).
Kazushi Murakoshi and Kiyohiko Nakamura.
Firing time of neuron by interference between synaptic inputs.
IEEE International Conference on Systems, Man and Cybernetics, Vol. II,
.
Tokyo, Japan (Oct. 1999).
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. Los Angeles, California (Nov. 1998).
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, . Kongju, Korea (July 1994).
Kazushi Murakoshi and Kiyohiko Nakamura. Dopaminergic effect on long-term potentiation in multicompartment model. Neuroscience Research, Vol. 38, Supplement 1, (2000).
Kazushi Murakoshi and Kiyohiko Nakamura. Coincident firing by interference of spikes in circular and mutual excitatory connections. Neuroscience Research, Vol. 35, Supplement 1, (1999).