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2021/12/08 -12 A master course student, Mr. Horiguchi will give an online presentation at International conference on Neural Information Processing (ICONIP2021). The title is "A Visual Feature Detection Algorithm Inspired by Spatio-temporal Properties of Visual Neurons".
2021/06/06 -08 Master course students, Mr. Hayashi, Mr. Hisamitsu, and Mr. Yamaji gave online presentation at the Robotics and Mechatronics Conference 2021. The titles are "A real-time binocular disparity detection system inspired by the spatio-temporal properties of the visual nervous system", "An image sensor system with color constancy using the Retinex theory and the Michaelis-Menten equation", "FPGA implementation of a neuro-inspired algorithm for spatio-temporal visual feature extraction", respectively.
2021/01/21 -23 Master course students, Mr. Morita, Mr. Horiguchi, and Mr. Hayashi, gave online presentations at 2021 International Symposium on Artificial Life and Robotics (AROB2021). The titles are "Motion and shape classification using spiking neural network" "A spatio-temporal feature extraction algorithm that simulates a physiological model of a neuron in the early visual cortex" "A binocular disparity detection algorithm inspired by the spatio-temporal properties of binocular cells".
2020/12/19 -20 The robocup team "O.I.T. Challenger", to which our laboratory provided a binocular image sensor system that is insusceptible to the intensity and the color of illumination, won the second prize at the open platform league of Robocup at home, Robocup Japan Open 2020, held online.
2020/08/05 A master course student, Mr. Horiguchi, gave an online presentation at Meeting on Image Recognition and Understanding 2020. The title is "A visual feature extraction algorithm inspired by the spatio-temporal property of neurons in the visual cortex.".
2020/05/29 Master course students, Mr. Kurose, Mr. Suenaga, Mr. Hayashi, and Mr. Morita gave online presentation at the Robotics and Mechatronics Conference 2020. The titles are "Estimation of drone motion state using opitical flow and echo state network", "Gesture classification utilizing reservoir computing and spatio-temporal features inspired by the visual nervous systems", "A neuro-inspired binocular stereo vision system that uses texture boundaries for corresponding point search", "Human action classification using the motion detection model of the insect visual system and the echo state network", respectively.
2020/01/20 -04/08 We accepted an internship Ph.D student, Mr. Alberto Patino Saucedo, from the University of Guanajauto (Mexico). He worked on a project on the following topic: "Spiking neural network-based image classification using image stream obtained by the neuro-inspired sensor system."
2020/01/14 A master course student, Mr. Misaka, gave an oral presentation at 2020 IEEE/SICE International Symposium on System Integration (SII2020). The title is "FPGA implementation of an algorithm that enables color constancy."
2019/12/04 Dr. Okuno gave an invited talk at International technical exhibition on image technology and equipment 2019. The title is "Developing robotic vision systems inspired by the visual nervous systems." (in Japanese)
2019/08/16 -18 The robocup team "O.I.T. Trial", to which our laboratory provided an image sensor system that is insusceptible to the intensity and the color of illumination, won the second prize at the open platform league of Robocup at home, Robocup Japan Open 2019. In addition, the image sensor system won the prize of RSJ (The Robotics Society of Japan).
2019/07/30 -31 Master course students, Mr. Misaka and Mr. Kurose, gave a poster presentation at Meeting on Image Recognition and Understanding 2019. The titles are "Object identification using images acquired by a camera with color constancy", and "Efficient optical flow sensing algorithm using Gaussian fillers".
2019/06/07 A master course student, Mr. Misaka, gave a poster presentation at the Robotics and Mechatronics Conference 2019. The title is "FPGA implementation of an algorithm for coding illumination-independent color information".
2019/05/24 Dr. Okuno gave an invited talk at the International Symposium on Neuromorphic and Non-linear Engineering held at the University of Tokyo. The title is "FPGA-based robotic vision systems inspired by the retina and the visual cortex."
2019/01/15 Dr. Okuno gave a presentation at a project meeting "Neuromorphic computing utilizing novel solid-state devices and circuits" held at Tohoku University. The title was "Applications of neuro-inspired visual signal processing to robotic vision."
2018/08/30 -31 We gave a demostration of our neuromorphic technology at Innovation JAPAN 2018, that was held at TOKYO BIG SIGHT. The title is "A small intelligent vision system that is insusceptible to changes of illuminance".
2018/08/02 -09/07 A master course student, Mr. Kajihara, conducted a collaborative research on a spiking neural network at Neuro-Engineering Lab of National Tsing Hua University in Taiwan.
2018/06/05 Two master course students, Mr. Kajihara and Mr. Misaka, gave poster presentations at the Robotics and Mechatronics Conference 2018. The titles were "Brain-inspired Binocular Disparity Detection System Using Multiple Spatial Band-passed Images", and "An Image Sensor System with Color Constancy Inspired by Biological Early Vision".
2018/05/17 Dr. Okuno gave an invited talk at the 62nd Annual Conrefence of Systems, Control and Information Engineers (SCI’18). The title was "Developing vision systems inspired by the retina and the visual cortex." (in Japanese)
2017/12/26 Dr. Okuno gave a presentation at a project meeting "Neuromorphic computing utilizing novel solid-state devices and circuits" held at Tohoku University. The title was "Circuit implementation of early vision and its application."
2017/03/30 Dr. Okuno gave an invite talk at Workshop on Brain-inspired Hardware. The title was "A hardware simulator of visual nervous systems utilizing a silicon retina and SpiNNaker chips."
2017/01 A paper was accepted by IEEE Transactions on Biomedical Circuits and Systems. The title is "Retinal circuit emulator with spatio-temporal spike outputs at milliseconds resolution in response to visual events."
2016/12/16 Dr. Okuno gave an invited talk at the 70th Technical Committee on Ultra Precision, The Japan Society for Precision Engineering. The title was "Visual signal processing systems inspired by neurons." (in Japanese)
2016/11/03 A paper was presented at The SICE Life Engineering Symposium 2016. The title is "Computing ego-motion of a small UAV with image processing inspired by the visual neuronal circuit of insects."(in Japanese)
2016/11/03 Students gave a demonstaration at the school festival of Osaka Institute of Technology. The title was "Bio-inspired robot vision." (in Japanese)
2016/10/18 A paper was presented at an international conference ICONIP. The title is "A retino-morphic hardware system simulating the graded and action potentials in retinal neuronal layers"
2016/09/12 Dr. Okuno gave an invited talk at Special research Committee on Embodiment Cognitive Science and Real world Application. The title was "Visual signal processing systems inspired by visual nervous systems: Neural activity simulator and vision-based control of a flying robot."(in Japanese)
2016/05 A paper was accepted by Neural Networks. The title is "Real-time Object Tracking Based on Scale-invariant Features Employing Bio-inspired Hardware."
2016/04/01 Neuromorphic Systems Laboratory was established at the Faculty of Information Science and Technology, Osaka Institute of Technology.

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Research goals

    This laboratory has the following two goals.
   The first goal is to develop efficient systems for visual perception and cognition inspired by the visual nervous systems. The visual nervous systems perceive and recognize visual signals efficiently in terms of both energy and time, while understanding of visual information is one of the most difficult task for conventional computers even though its processing speed is much faster than that of neurons. Learning from the advantages of nervous systems is a promissing way to develop noble visual systems.
    The second goal is to reveal how the efficient visual signal processing is accomplished in the visual nervous systems, including the retina and the visual cortex. We have to reveal it before learning from the visual nervous systems because they remain poorly understood.
    Understanding the visual nervous systems and developing noble systems for visual perception and cognition inspired by the nervous systems: these two points are the keys of this laboratory.

Keywords

neuromorphic, retina, brain, visual cortex, AI, robot, drone, image sensor, image processing, neural network, FPGA, circuit design, algorithm development

Contact

Affiliation:Osaka Institute of Technology, Faculty of Information Science and Technology
Location:1-79-1 Kitayama, Hirakata City, Osaka, 573-0196 Japan
 Buliding number 1, Room number 515
E-mail:hirotsugu.okuno [ATMARK] oit.ac.jp

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