Search Results - "Okuno, Hirotsugu"

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  1. 1

    Artificial cerebellum on FPGA: realistic real-time cerebellar spiking neural network model capable of real-world adaptive motor control by Shinji, Yusuke, Okuno, Hirotsugu, Hirata, Yutaka

    Published in Frontiers in neuroscience (25-04-2024)
    “…The cerebellum plays a central role in motor control and learning. Its neuronal network architecture, firing characteristics of component neurons, and learning…”
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    Journal Article
  2. 2

    Real-time object tracking based on scale-invariant features employing bio-inspired hardware by Yasukawa, Shinsuke, Okuno, Hirotsugu, Ishii, Kazuo, Yagi, Tetsuya

    Published in Neural networks (01-09-2016)
    “…We developed a vision sensor system that performs a scale-invariant feature transform (SIFT) in real time. To apply the SIFT algorithm efficiently, we focus on…”
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    Journal Article
  3. 3
  4. 4

    Enhanced electroluminescence utilizing p-sexiphenyl for the blue light source by Kajii, Hirotake, Tsukagawa, Takahisa, Okuno, Hirotsugu, Taneda, Takayuki, Yoshino, Katsumi, Ohmori, Yutaka

    Published in Thin solid films (01-08-2001)
    “…Enhanced blue light electroluminescence has been observed utilizing p-sexiphenyl (6P). The heterostructure device with N, N′-diphenyl- N,…”
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    Journal Article Conference Proceeding
  5. 5

    A hardware system for emulating the early vision utilizing a silicon retina and SpiNNaker chips by Kawasetsu, Takumi, Ishida, Ryoya, Sanada, Tadashi, Okuno, Hirotsugu

    “…To reveal the functional roles of retinal and cortical neurons, responses of a visual neuronal network under natural visual environments should be…”
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    Conference Proceeding
  6. 6

    Retinal Circuit Emulator With Spatiotemporal Spike Outputs at Millisecond Resolution in Response to Visual Events by Hayashida, Yuki, Kudo, Yuka, Ishida, Ryoya, Okuno, Hirotsugu, Yagi, Tetsuya

    “…To gain insights on how visual information of the real world is filtered, compressed, and encoded by the vertebrate retinas, emulating in silico the…”
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    Journal Article
  7. 7

    A visually guided collision warning system with a neuromorphic architecture by Okuno, Hirotsugu, Yagi, Tetsuya

    Published in Neural networks (01-12-2008)
    “…We have designed a visually guided collision warning system with a neuromorphic architecture, employing an algorithm inspired by the visual nervous system of…”
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    Journal Article Conference Proceeding
  8. 8

    A mixed analog–digital vision sensor for detecting objects approaching on a collision course by Okuno, Hirotsugu, Yagi, Tetsuya

    Published in Robotics and autonomous systems (31-05-2009)
    “…Bio-inspired vision system is a particularly good candidate for navigation of mobile robots and vehicles because of its computational advantages, e.g., low…”
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    Journal Article
  9. 9

    Effects of Gabor Filters on Classification Performance of CNNs Trained on a Limited Number of Conditions by Morita, Akito, Okuno, Hirotsugu

    “…In this study, we propose a technique to improve the accuracy and reduce the size of convolutional neural networks (CNNs) running on edge devices for…”
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    Conference Proceeding
  10. 10

    Effects of the retina-inspired light intensity encoding on color discrimination performance by Yamada, Io, Okuno, Hirotsugu

    “…Color is an important source of information for visual functions such as object recognition, but it is greatly affected by the color of illumination. The…”
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    Conference Proceeding
  11. 11

    Real-Time Emulator for Reproducing Graded Potentials in Vertebrate Retina by Okuno, Hirotsugu, Hasegawa, Jun, Sanada, Tadashi, Yagi, Tetsuya

    “…In most parts of the retina, neuronal circuits process visual signals represented by slowly changing membrane potentials, or so-called graded potentials. A…”
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    Journal Article
  12. 12

    Image Sensor System With Bio-Inspired Efficient Coding and Adaptation by Okuno, H., Yagi, T.

    “…We designed and implemented an image sensor system equipped with three bio-inspired coding and adaptation strategies: logarithmic transform, local average…”
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    Journal Article
  13. 13

    FPGA implementation of an algorithm that enables color constancy by Misaka, Kento, Okuno, Hirotsugu

    “…We designed a digital circuit that converts raw image sensor data into illumination-independent color information, and implemented it on a field-programmable…”
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    Conference Proceeding
  14. 14

    Bio-Inspired Real-Time Robot Vision for Collision Avoidance by Okuno, Hirotsugu, Yagi, Tetsuya

    Published in Journal of robotics and mechatronics (01-02-2008)
    “…A mixed analog-digital integrated vision sensor was designed to detect an approaching object in real-time. To respond selectively to approaching stimuli, the…”
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    Journal Article
  15. 15

    Real-time robot vision for collision avoidance inspired by neuronal circuits of insects by Okuno, H., Yagi, T.

    “…A real-time vision sensor for collision avoidance was designed. To respond selectively to approaching objects on direct collision course, the sensor employs an…”
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    Conference Proceeding
  16. 16

    Live demonstration: A hardware system for emulating the early vision utilizing a silicon retina and SpiNNaker chips by Kawasetsu, Takumi, Ishida, Ryoya, Sanada, Tadashi, Okuno, Hirotsugu

    “…In this live demonstration, we will show a real-time emulator for reproducing neural activities in the retina and the visual cortex. The emulator comprises a…”
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    Conference Proceeding
  17. 17

    High-speed multiple spatial band-pass filtering using a resistive network by Yasukawa, Shinsuke, Okuno, Hirotsugu, Kameda, Seiji, Yagi, Tetsuya

    “…In this study, we developed a vision system that separates an image into a set of spatial frequency bands using multiple spatial filters during each single…”
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    Conference Proceeding
  18. 18

    Detection of scale-invariant key points employing a resistive network by Yasukawa, S., Okuno, H., Yagi, T.

    “…We assessed the feasibility of applying a resistive network (RN) filter to the scale-invariant feature transform (SIFT) algorithm by performing computer…”
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    Conference Proceeding
  19. 19

    Portable phosphene image generator simulating cortical visual prosthesis by Okuno, H., Fehervari, T., Matsuoka, M., Kameda, S., Yagi, T.

    “…Electrical stimulation delivered to the visual cortex evokes spot-like visual perceptions of light, called phosphenes. Artificial prosthetic vision is based on…”
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    Conference Proceeding
  20. 20

    A neuromorphic system for detecting an approaching object inspired by insect vision by Okuno, H., Yagi, T.

    “…A neuromorphic vision sensor was designed to detect an approaching object in real time. To respond selectively to looming stimuli, the sensor employed an…”
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    Conference Proceeding