Kiyohiko Nakamura

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An Information Retrieval System with Ability of Analogical Inference Using Semantic Network and Function of Fuzzification

Sosuke Iwai, Kiyohiko Nakamura, 1981 .

Possibility of information processing based on spike timing.

Kiyohiko Nakamura, Satoshi Oode, Kazushi Murakoshi, 1998 .

A Mathematical Model for Tamarin's Tool-Use Behavior

Kiyohiko Nakamura, Toshisada Mariyama, Hideaki Itoh, 2010 .

Smoothing in a Large Scale Intelligent Database Using Psychological Data Similarity

Andrew P. Sage, Sosuke Iwai, Kiyohiko Nakamura, 1984 .

Competitive Parallel Processing of Millisecond Scale in the Neocortical Circuitry

Kiyohiko Nakamura, 1994 .

Topological Fuzzy Sets as a Quantitative Description of Analogical Inference and Its Application to Question-Answering Systems for Information Retrieval

Sosuke Iwai, Kiyohiko Nakamura, Kiyohiko Nakamura, 1982, IEEE Transactions on Systems, Man, and Cybernetics.

Andrew P. Sage, Sosuke Iwai, Kiyohiko Nakamura, 1986 .

Timing information in transient behavior of neuropopulations

Kiyohiko Nakamura, Atsunobu Ichikawa, A. Ichikawa, 1989, IEEE Trans. Syst. Man Cybern..

Change in saccadic reaction time due to the presentation of the cue of target information

Kiyohiko Nakamura, Y. Tsunoda, Y. Tsunoda, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Information maximization principle explains the emergence of complex cell-like neurons

Kiyohiko Nakamura, Takuma Tanaka, Takuma Tanaka, 2013, Front. Comput. Neurosci..

Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking

Hiroki Takahashi, Hideaki Itoh, Kiyohiko Nakamura, 2009, ICONIP.

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

Kiyohiko Nakamura, Satoshi Oode, Kazushi Murakoshi, 2000 .

Associative learning using similarity knowledge bases for relational database search

Andrew P. Sage, Sosuke Iwai, Kiyohiko Nakamura, 1984, Future Gener. Comput. Syst..

Neural Processing in the Subsecond Time Range in the Temporal Cortex

Kiyohiko Nakamura, 1998, Neural Computation.

Reinforcement learning of the neocortico-hippocampal system

Kiyohiko Nakamura, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Partially observable Markov decision processes with imprecise parameters

Hideaki Itoh, Kiyohiko Nakamura, Hideaki Itoh, 2007, Artif. Intell..

Invariant Multiparameter Sensitivity of Oscillator Networks

Kiyohiko Nakamura, Takuma Tanaka, Kenzaburo Fujiwara, 2014, ICONIP.

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

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

Change of reaction time according to the presentation of cues about the direction of saccade in a delayed saccade task

Kiyohiko Nakamura, Yoshiaki Tsunoda, Y. Tsunoda, 2004, Systems and Computers in Japan.

A KNOWLEDGE BASE SYSTEM FOR DECISION SUPPORT USING COGNITIVE MAPS

Tetsuo Sawaragi, Sosuke Iwai, Kiyohiko Nakamura, 1983 .

An Evolutionary Basis for Preference Behavior in Decision Making under Risk

Hideaki Itoh, Kiyohiko Nakamura, Shigemi Sawa, 2006, 2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06).

A theory of cerebral learning regulated by the reward system

Kiyohiko Nakamura, Kiyohiko Nakamura, 1993, Biological Cybernetics.

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.

Cortical Competitive Processing Produces Interference in Color-Word Tests

Kiyohiko Nakamura, Kiyohiko Nakamura, 1995 .

Neural network model controlling saccade based on probabilistic expectation

Kiyohiko Nakamura, Y. Tsunoda, Y. Tsunoda, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

The Sufficient Condition for Liveness of Colored Marked Graph

Kiyohiko Nakamura, Atsunobu Ichikawa, Qingxing Lin, 1994 .

Firing Patterns Depending on Model Neurons

Kiyohiko Nakamura, Kazushi Murakoshi, Kiyohiko Nakamura, 2001 .

An intelligent data-base interface using psychological similarity between data

Andrew P. Sage, Sosuke Iwai, Kiyohiko Nakamura, 1983, IEEE Transactions on Systems, Man, and Cybernetics.

Estimation of functional brain connectivity from electrocorticograms using an artificial network model

Naotaka Fujii, Jun Tani, Misako Komatsu, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A class of Petri nets and a reachability problem solvable in deterministic polynomial time

Kiyohiko Nakamura, Atsunobu Ichikawa, Keiko Nakamura, 1989, Proceedings of the Third International Workshop on Petri Nets and Performance Models, PNPM89.

Decision Support Using Causation Knowledge Base

Tetsuo Sawaragi, Sosuke Iwai, Kiyohiko Nakamura, 1982, IEEE Transactions on Systems, Man, and Cybernetics.

Temporal competition as an optimal parallel processing of the cerebrohypothalamic system

Kiyohiko Nakamura, Kiyohiko Nakamura, 1993, IEEE International Conference on Neural Networks.