Kazushi Murakoshi

发表

Possibility of information processing based on spike timing.

Kiyohiko Nakamura, Satoshi Oode, Kazushi Murakoshi, 1998 .

A neural circuit model for changing the amount of information maintained in short-term memory depending on stimuli relationships

Kazushi Murakoshi, Tora Sawaguchi, 2009, Biosyst..

A Simulation Environment for Designing and Examining Biological Neural Network Models

Tadashi Kurata, Kazushi Murakoshi, 1994 .

A parameter control method inspired from neuromodulators in reinforcement learning

Kazushi Murakoshi, Junya Mizuno, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

A parameter control method in reinforcement learning to rapidly follow unexpected environmental changes.

Kazushi Murakoshi, Junya Mizuno, 2004, Bio Systems.

A neural circuit model forming semantic memory from episodic memory using STDP

Kazushi Murakoshi, Yusaku Kobayashi, 2007 .

Simulation of rat behavior by a reinforcement learning algorithm in consideration of appearance probabilities of reinforcement signals.

Kazushi Murakoshi, Takuya Noguchi, 2005, Bio Systems.

Avoiding overfitting in multilayer perceptrons with feeling-of-knowing using self-organizing maps.

Kazushi Murakoshi, K. Murakoshi, 2005, Bio Systems.

A model of amodal completion on overlapped figures

Tadashi Kurata, Kazushi Murakoshi, 1997 .

Analysis of the reliability and precision of spike timing by a single model neuron.

Kiyohiko Nakamura, Satoshi Oode, Kazushi Murakoshi, 2000 .

Reducing topological defects in self-organizing maps using multiple scale neighborhood functions

Yuichi Sato, Kazushi Murakoshi, K. Murakoshi, 2007, Biosyst..

Analysis of the reliability and precision of spike timing by a single model neuron

Kiyohiko Nakamura, Satoshi Oode, Kazushi Murakoshi, 2000, Syst. Comput. Jpn..

A neural circuit model of emotional learning using two pathways with different granularity and speed of information processing

Kazushi Murakoshi, Mayuko Saito, K. Murakoshi, 2009, Biosyst..

Growing Hierarchical Self-Organizing Map Using Category Utility

Kazushi Murakoshi, Satoshi Fujikawa, 2016, Int. J. Softw. Eng. Knowl. Eng..

Synchrony and asynchrony of coincident spikes of neural populations depending on line drawings

Kiyohiko Nakamura, Kazushi Murakoshi, Kiyohiko Nakamura, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Simulation of Rat's behavior in conflict of approach and avoidance by reinforcement learning in cosideration of appearance probabilities of reinforcement signals

Kazushi Murakoshi, Takuya Noguchi, 2003 .

Firing Patterns Depending on Model Neurons

Kiyohiko Nakamura, Kazushi Murakoshi, Kiyohiko Nakamura, 2001 .

Image correction method for the colour contrast effect using inverse processes of the brain

Kazushi Murakoshi, Mai Miura, 2010, Biosyst..

A neural circuit model forming semantic network with exception using spike-timing-dependent plasticity of inhibitory synapses

Kazushi Murakoshi, Kyoji Suganuma, K. Murakoshi, 2007, Biosyst..