Home | Research | Publication | Members | About PI | To applicants

Publication

International Conference Papers

• S. Kubo, Y. Yamaji, and H. Okuno
  "Aneuro-inspired image sensor system with a hierarchical multi-scale Gabor filtering circuit," Proceedings of the SICE Festival 2024 with Annual conference, Kochi, 2024/08/27 -30, 2024.


• A. Morita, I. Yamada, and H. Okuno
  "Effects of Color Constancy Algorithms on Robustness of CNNs to Changes in Illumination Conditions," Proceedings of the SICE Festival 2024 with Annual conference, Kochi, 2024/08/27 -30, 2024.


• A. Morita and H. Okuno
  "Effects of Gabor filters on classification performance of CNNs trained on a limited number of conditions," Proceedings of the International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC 2024), Naha, 2024/07/02 -05, 2024.


• I. Yamada and H. Okuno
  "Effects of the retina-inspired light intensity encoding on color discrimination performance," Proceedings of the IEEE World Congress on Computational Intelligence (IEEE WCCI 2024), Yokohama, 2024/06/30 -07/05, 2024.


• T. Kobayashi and H. Okuno
  "A Figure-Ground Discrimination Algorithm Inspired by Border-Ownership Selective Cells," Proceedings of the International Conference on Artificial Life and Robotics 2023, Online, 2023/02/09-12, pp. 541-544, 2023.


• R. Sato and H. Okuno
  "Binocular Disparity Estimation Algorithm Using Multiple Spatial Frequency Information and a Neural Network," Proceedings of the International Conference on Artificial Life and Robotics 2023, Online, 2023/02/09-12, pp. 536-539, 2023.


• M. Ikeda and H. Okuno
  "Increasing Selectivity to a Feature Combination Using Inhibitory Synaptic Plasticity in a Spiking Neural Network," Proceedings of the International Conference on Artificial Life and Robotics 2023, Online, 2023/02/09-12, pp. 531-534, 2023.


• Y. Yamaji, A. Morita and H. Okuno
  "A Fast Image Sensor System with an Efficient Multi-Scale Gaussian Filtering Circuit," Proceedings of the International Conference on Artificial Life and Robotics 2022, Online, 2022/01/20-23, pp. 513-518, 2022.


• S. Hisamitsu and H. Okuno
  "An Image Coding Algorithm with Color Constancy Using the Retinex Theory and the Naka-Rushton Equation," Proceedings of the International Conference on Artificial Life and Robotics 2022, Online, 2022/01/20-23, pp. 507-512, 2022.


• A. Morita and H. Okuno
  "The Effect of Preprocessing with Gabor Filters on Image Classification Using CNNs," Proceedings of the International Conference on Artificial Life and Robotics 2022, Online, 2022/01/20-23, pp. 503-506, 2022.


• E. Horiguchi and H. Okuno
  "A Visual Feature Detection Algorithm Inspired by Spatio-Temporal Properties of Visual Neurons," International conference on Neural Information Processing 2021, Online, 2021/12/8-12, Lecture Notes in Computer Science, pp. 634-643, 2021.


• A. Morita, T. Yamada, and H. Okuno
  "Motion and shape classification using spiking neural network," Proceedings of the International Symposium on Artificial Life and Robotics 2021, Online, 2021/01/21-23, pp. 342-346, 2021.


• E. Horiguchi and H. Okuno
  "A spatio-temporal feature extraction algorithm that simulates a physiological model of a neuron in the early visual cortex," Proceedings of the International Symposium on Artificial Life and Robotics 2021, Online, 2021/01/21-23, pp. 431-436, 2021.


• S. Hayashi, H. Kajihara, and H. Okuno
  "A binocular disparity detection algorithm inspired by the spatio-temporal properties of binocular cells," Proceedings of the International Symposium on Artificial Life and Robotics 2021, Online, 2021/01/21-23, pp. 437-442, 2021.


• K. Misaka and H. Okuno
  "FPGA implementation of an algorithm that enables color constancy," Proceedings of the IEEE/SICE International Symposium on System Integration (SII) 2020, Honolulu, U.S.A., 2020/01/12-15, pp. 991-995.


• Y. Kudo, Y. Hayashida, R. Ishida, H. Okuno, T. Yagi,
  "A retino-morphic hardware system simulating the graded and action potentials in retinal neuronal layers," The 23rd International Conference on Neural Information Processing (ICONIP), Kyoto, Japan, 2016/10/16-21, Lecture Notes in Computer Science 9948, pp. 326-333.


• T. Kawasetsu, R. Ishida, T. Sanada, and H. Okuno,
  "A hardware system for emulating the early vision utilizing a silicon retina and SpiNNaker chips," Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS) 2014, Lausanne, Switzerland, pp. 552-555, 2014.


• H. Okuno, T. Kawasetsu, L. A. Plana, S. B. Furber, and T. Yagi,
  "A real-time simulator of a biological visual system composed of a silicon retina and SpiNNaker chips," Proceedings of the International Symposium on Artificial Life and Robotics 2014, Beppu, Japan, GS14-1, 2014.


• S. Yasukawa, H. Okuno, S. Kameda, and T. Yagi,
  "High-speed multiple spatial band-pass filtering using a resistive network," Proceedings of the IEEE International Conference on Mechatronics and Automation (ICMA) 2013, Kagawa, Japan, pp. 1299-1304, 2013.


• H. Okuno, T. Fehervari, M. Matsuoka, S. Kameda, and T. Yagi,
  "Portable phosphene image generator simulating cortical visual prosthesis," Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS) 2012, Hsin-Chu, Taiwan, pp. 188-191, 2012.


• S. Yasukawa, H. Okuno, and T. Yagi,
  "Detection of scale-invariant key points employing a resistive network," Proceedings of the IEEE/SICE International Symposium on System Integration (SII) 2012, Fukuoka, Japan, pp. 877-882, 2012.


• B. Kim, H. Okuno, T. Yagi, and M. Lee,
  "Implementation of visual attention system using artificial retina chip and bottom-up saliency map model," International Conference on Neural Information Processing (ICONIP) 2011, Shanghai, China, Lecture Notes in Computer Science, vol.7064/2011, pp.416-423, 2011.


• T. Fehervari, M. Matsuoka, H. Okuno, and T. Yagi,
  "Real-time simulation of phosphene images evoked by electrical stimulation of the visual cortex," International Conference on Neural Information Processing (ICONIP) 2010, Sydney, Australia, Lecture Notes in Computer Science, vol.6443/2010, pp.171-178, 2010.


• H. Okuno and T. Yagi,
  "A robot vision system for collision avoidance using a bio-inspired algorithm," International Conference on Neural Information Processing (ICONIP) 2007, Kitakyushu, Japan, Lecture Notes in Computer Science, Springer, vol. 4985/2008, pp.107-116, 2007.


• H. Okuno and T. Yagi,
  "Real-time robot vision for collision avoidance inspired by neuronal circuits of insects," Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2007, San Diego, CA, USA, no. TuD8.1, pp.1302-1307, Oct. 2007.

Journal Articles

• Y. Shinji, H. Okuno, Y. Hirata,
  "Artificial cerebellum on FPGA: realistic real-time cerebellar spiking neural network model capable of real-world adaptive motor control," Frontiers in Neuroscience, Sec. Neuromorphic Engineering, vol. 18, 2024.


• Y. Hayashida, Y. Kudo, R. Ishida, H. Okuno, Tetsuya Yagi,
  "Retinal circuit emulator with spatio-temporal spike outputs at milliseconds resolution in response to visual events," IEEE Transactions on biomedical circuits and systems, vol. 11, iss. 3, pp. 597-611, 2017.


• S. Yasukawa, H. Okuno, K. Ishii, and T. Yagi,
  "Real-time object tracking based on scale-invariant features employing bio-inspired hardware," Neural Networks, vol. 81, pp. 29-38, 2016.


• H. Okuno, J. Hasegawa, T. Sanada, and T. Yagi,
  "Real-time emulator for reproducing graded potentials in vertebrate retina," IEEE Transactions on biomedical circuits and systems, vol. 9, iss. 2, pp. 284-295, 2015.


• S. Yasukawa, H. Okuno, S. Kameda, and T. Yagi,
  "A vision sensor system with a real-time multi-scale filtering function," International Journal of Mechatronics and Automation, vol. 4, no. 4, pp. 248-258, 2014.


• H. Okuno and T. Yagi,
  "Image sensor system with bio-inspired efficient coding and adaptation," IEEE Transactions on biomedical circuits and systems, vol.6, pp.375-384, 2012.


• H. Okuno and T. Yagi,
  "A mixed analog-digital vision sensor for detecting objects approaching on a collision course," Robotics and Autonomous Systems, vol.57, iss.5, pp.508-516, 2009.


• H. Okuno and T. Yagi,
  "A visually guided collision warning system with a neuromorphic architecture," Neural Networks, vol.21, pp.1431-1438, 2008.


• H. Okuno and T. Yagi,
  "Bio-inspired real-time robot vision for collision avoidance," Journal of Robotics and Mechatronics, vol. 20, no.1, pp. 68-74, 2008.

International Conference Presentations (abstract only)

• H. Okuno, J. Hasegawa, and T. Yagi,
  "A real-time emulation system for reconstructing spike activities of the retinal ganglion cells," Neuro 2013, 20-23 Jun. 2013, in Kyoto, Japan.


• H. Okuno, T. Sanada, J. Hasegawa, and T. Yagi,
  "Real-time emulation of parallel channel responses in the vertebrate retina and the primary visual cortex," Annual Computational Neuroscience Meeting (CNS 2011), Stockholm, Sweden, Jul. 2011, BMC Neuroscience 2011, vol.12 suppl.1, pp.214-215.

Copyright © 2016 Neuromorphic systems laboratory All Rights Reserved.