Kazuhisa Fujita, Ph.D.

• Associate professor
• Department of Clinical Engineering, Faculty of Health Sciences
• Komatsu University

EMail: kazu@spikingneuron.net

Biography

Kazuhisa Fujita received a Ph.D. in Computer Science from the University of Electro-Communications, Tokyo in 2007. From 2007-2013, he was a Research Associate in the Department of Computer and Information Engineering at the National Institute of Technology, Tsuyama College. He then joined the faculty at Tsuyama College as an Assistant Professor from 2013-2018. Concurrently during this time, Dr. Fujita was a Visiting Fellow at the University of Electro-Communications, from 2011-2022. In 2018, he transitioned to an Associate Professor position at Komatsu University, where he currently works. His research interests are game-playing artificial intelligence, neural networks, vector quantization methods, and the free energy principle.

MAIN RESEARCH INTERESTS

• Neural network
• Clustering

EDUCATION

• Ph.D. in engineering, The University of Electro-Communications, Japan, 2007
• M.S. in engineering, The University of Electro-Communications, Japan, 2004
• B.S. in engineering, The University of Electro-Communications, Japan, 2002

EXPERIENCE

• 2018 - current, Associate professor, Department of Clinical Engineering, Faculty of Health Sciences, Komatsu University
• 2011 - 2022, Visiting Research Fellow, University of Electro-Communications
• 2013 - 2018, Assistant Professor, Tsuyama National College of Technology
• 2007 - 2013, Research Associate, Tsuyama National College of Technology
• 2004 - 2007, Research Assistant, The University of Electro-Communications

COMPUTER SKILLS

• Operating Systems: Linux, Mac OSX
• Computer Languages: C, C++, Python, Shell Script

AFFILIATIONS

• Member of Society for Neuroscience
• Member of Asia Pacific Neural Network Society
• Member of the Japan Neural Network Society
• Member of the Institute of Electronics, Information and Communication Engineers

PUBLICATIONS

• Kazuhisa Fujita (2024) An efficient and straightforward online quantization method for a data stream through remove-birth updating. PeerJ Computer Science, 10, e1789.
• Kazuhisa Fujita (2023) Characteristics of networks generated by kernel growing neural gas. International Journal of Artificial Intelligence & Applications, 14(5), 25-39.
• Kazuhisa Fujita (2022) AlphaDDA: Strategies for Adjusting the Playing Strength of a Fully Trained AlphaZero System to a Suitable Human Training Partner. PeerJ Computer Science, 8, e1123.
• Kazuhisa Fujita (2021) Approximate spectral clustering using both reference vectors and topology of the network generated by growing neural gas. PeerJ Computer Science, 7, e679, 1-22..
• Hikaru Tokuhara , Kazuhisa Fujita, and Yoshiki Kashimori (2021) Neural mechanisms of maintenance and manipulation of information of temporal sequences in working memory. Cognitive Computation.
• Kazuhisa Fujita (2021) Estimation of the number of clusters on d-dimensional sphere. Artificial Intelligence Research, 10, 57-63.
• Kenji Takei, Kazuhisa Fujita, and Yoshiki Kashimori (2020) A neural mechanism of cue-outcome expectancy generated by the interaction between orbitofrontal cortex and amygdala. Chemical Senses, 45, 15-26.
• Kazuhisa Fujita and Yoshiki Kashimori (2019) Representation of object’s shape by multiple electric images in electrolocation. Biological Cybernetics, 113, 239-255.
• Yuki Abe, Kazuhisa Fujita, and Yoshiki Kashimori (2018) Visual and category representations shaped by the interaction between inferiortemporal and prefrontal cortices. Cognitive Computation. 10, 687-702.
• Kazuhisa Fujita, Shun Okuno, and Yoshiki Kashimori (2018) Evaluation of the computational efficacy in GPU-accelerated simulations of spiking neurons, Computing, 100, 907–926.
• Ryosuke Hagihara, Takuto Kanzaki, and Kazuhisa Fujita (2018) Current state and issues of Kosens’ websites found from surveys of all Kosens’ websites, Journal of the Japan Association for College of Technology, 23(2), 67-74 . (in Japanese with English abstract).
• Kazuhisa Fujita and Yoshiki Kashimori (2017) Neural representation of object’s shape at the electroreceptor afferents on electrolocation. Lecture Notes in Computer Science, 10636, 877-884.
• Shun Okuno, Kazuhisa Fujita, and Yoshiki Kashimori (2017) Computational efficacy of GPGPU-accelerated simulation for various neuron models. Lecture Notes in Computer Science, 10638, 802-809.
• Kazuhisa Fujita (2017) A clustering method for data in cylindrical coordinates. Mathematical Problems in Engineering, 2017, Article ID 3696850, 1-11.
• Kazuhisa Fujita and Yoshiki Kashimori (2017) Neural representation of object’s shape at the electroreceptor afferents on electrolocation. Lecture Notes in Computer Science, 10636, 877-884.
• Shun Okuno, Kazuhisa Fujita, and Yoshiki Kashimori (2017) Computational efficacy of GPGPU-accelerated simulation for various neuron models. Lecture Notes in Computer Science, 10638, 802-809.
• Kazuhisa Fujita and Yoshiki Kashimori (2016) GPU-Accelerated Simulations of an Electric Stimulus and Neural Activities in Electrolocation. Lecture Notes in Computer Science 9950, 213-220.
• Yuki Abe, Kazuhisa Fujita, and Yoshiki Kashimori (2016) A neural network model for retaining object information required in a categorization task. Lecture Notes in Computer Science 9948, 391-398.
• Akikazu Kamiyama, Kazuhisa Fujita and Yoshiki Kashimori (2016) A neural mechanism of dynamic gating of task-relevant information by top-down influence in primary visual cortex. Biosystems, 150, 138–148.
• Takahiro Shimemura, Kazuyuki Fujita, and Yoshiki Kashimori (2016) A neural mechanism of taste perception modulated by odor information. Chemical Senses, 41, 579-589.
• Kazuhisa Fujita, Yoshiki Kashimori (2016) Neural mechanism of corticofugal modulation of tuning property in frequency domain of bat’s auditory system. Neural Processing Letters, 43, 537-551.
• Takayuki Kato, Kazuhisa Fujita, and Yoshiki Kashimori (2015) A neural mechanism of phase-locked responses to sinusoidally amplitude-modulated signals in the inferior colliculus. Biosystems, 134C, 24-36.
• Kazuhisa Fujita (2014) A model of a rapidly-adapting mechanosensitive current generated by a dorsal root ganglion neuron. Mathematical Biosciences, 252C, 60-66.
• Kazuhisa Fujita, Yusuke Hara, Youichi Suzukawa and Yoshiki Kashimori (2014) Decoding word information from spatiotemporal activity of sensory neurons. Cognitive Computation, 6, 145-157.
• Kazuhisa Fujita (2013) Extract an essential skeleton of a character as a graph from a character image. International Journal of Computer Science Issues 10, 5, 35-39.
• Kazuhisa Fujita (2013) Spatial filtering by a two-dimensional interconnected network with spike timing dependent synaptic plasticity depending on its temporal properties. Advances in Cognitive Neurodynamics (III), 221-226.
• Kazuhisa Fujita (2011) Modulations of electric organ discharge and representation of the modulations on electroreceptors. Lecture Notes in Computer Science 7064, 251-258.
• Kazuhisa Fujita (2010) Spatial feature extraction by spike timing dependent synaptic modification. Lecture Notes in Computer Science 6443, 148-154.
• Kazuhisa Fujita and Yoshiki Kashimori (2010) Modeling the electric image produced by objects with complex impedance in weakly electric fish. Biological Cybernetics 103, 105-118.
• Kazuhisa Fujita, Yoshiki Kashimori and Takeshi Kambara. Spatiotemporal burst coding for extracting features of spatiotemporally varying stimuli. Biological Cybernetics, Volume 97, 293-305 (2007).
• Yoshiki Kashimori, Yu Ichinose and Kazuhisa Fujita. A functional role of interaction between IT cortex and PF cortex in visual categorization task. Neurocomputing, Volume 70, 1813-1818 (2007).
• Kazuhisa Fujita, Yoshiki Kashimori, MeiHong Zheng and Takeshi Kambara. A role of synchronicity of neural activity based on dynamic plasticity of synapses in encoding spatiotemporal features of electrosensory stimuli. Mathematical Biosciences, Volume 201, 113-124 (2006).
• Kazuhisa Fujita and Yoshiki Kashimori. Population coding of electrosensory stimulus in receptor network. Neurocomputing, Volume 69, 1206-1210 (2006).
• Hidetaka Morisawa, Daisuke Hirayama, Kazuhisa Fujita, Yoshiki Kashimori and Takeshi Kambara. Binding Mechanism of Frequency-Specific ITD and IID Information in Sound Localization of Barn Owl. Lecture Notes in Computer Science, Volume 4232, 255-262 (2006).
• Seiichi Hirooka, Kazuhisa Fujita and Yoshiki Kashimori. Effect of Feedback Signals on Tuning Shifts of Subcortical Neurons in Echolocation of Bat. Lecture Notes in Computer Science, Volume 4232, 255-262 (2006).
• MeiHong Zheng, Yoshiki Kashimori, Osamu Hoshino, Kazuhisa Fujita and Takeshi Kambara. Behavior pattern (innate action) of individuals in fish schools generating efficient collective evasion from predation. Journal of Theoretical Biology, Volume 235, 153-167 (2005).
• Yoshiki Kashimori, Nobuyuki Suzuki, Kazuhisa Fujita, Meihong Zheng and Takeshi Kambara. A functional role of multiple spatial resolution maps in form perception along the ventral visual pathway. Neurocomputing, Volume 65-66, 219-228 (2005)
• Kazuhisa Fujita, Yoshiki Kashimori and Takeshi Kambara. Dynamic population coding for detecting the distance and size of an object in electrolocation. Neurocomputing, Volumes 65-66, 243-251 (2005).
• Kazuhisa Fujita, Yoshiki Kashimori, MeiHong Zheng and Takeshi Kambara. A role of burst firings in encoding of spatiotemporally-varying stimulus. Biosystems, Volume 76, 21-31 (2004).
• Kazuhisa Fujita, Eigo Kamata, Satoru Inoue, Yoshiki Kashimori, Takeshi Kambara. A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat. Lecture Notes in Computer Science, Volume 3316, 78-83 (2004).
• Kazuhisa Fujita, ShungQuang Huang, Yoshiki Kashimori, Takeshi Kambara. Neural Mechanism of Binding ITD Information with IID One for Generating Brain Map of Sound Localization. Lecture Notes in Computer Science, Volume 3316, 44-49 (2004).