K. Murakoshi

Analysis of Change in Spike Timing with Interference between Synaptic Inputs

Kiyohiko Nakamura, K. Murakoshi, 1999 .

Growing hierarchical self-organizing map method using category utility

K. Murakoshi, S. Fujikawa, 2016 .

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..

Firing Patterns Depending on Model Neurons

Kiyohiko Nakamura, Kazushi Murakoshi, Kiyohiko Nakamura, 2001 .

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.

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 .

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

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

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

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

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..