English
Related papers

Related papers: Emergence of robust looming selectivity via coordi…

200 papers

Inhibition is considered to shape neural activity, and broaden its pattern repertoire. In the sensory organs, where the anatomy of neural circuits is highly structured, lateral inhibition sharpens contrast among stimulus properties. The…

Neurons and Cognition · Quantitative Biology 2018-09-18 Netta Haroush , Shimon Marom

This research addresses the challenging problem of visual collision detection in very complex and dynamic real physical scenes, specifically, the vehicle driving scenarios. This research takes inspiration from a large-field looming…

Computer Vision and Pattern Recognition · Computer Science 2019-04-04 Qinbing Fu , Nicola Bellotto , Huatian Wang , F. Claire Rind , Hongxin Wang , Shigang Yue

For autonomous robots in dynamic environments mixed with human, it is vital to detect impending collision quickly and robustly. The biological visual systems evolved over millions of years may provide us efficient solutions for collision…

Neurons and Cognition · Quantitative Biology 2018-01-22 Qinbing Fu , Cheng Hu , Shigang Yue

Looming detection plays an important role in insect collision prevention systems. As a vital capability evolutionary survival, it has been extensively studied in neuroscience and is attracting increasing research interest in robotics due to…

Computer Vision and Pattern Recognition · Computer Science 2023-02-22 Feng Shuang , Yanpeng Zhu , Yupeng Xie , Lei Zhao , Quansheng Xie , Jiannan Zhao , Shigang Yue

Motion is an important feature of visual scenes and retinal neuronal circuits selectively signal different motion features. It has been shown that the retina can extrapolate the position of a moving object, thereby compensating sensory…

Neurons and Cognition · Quantitative Biology 2025-08-05 S. Ebert , B. Cessac

Humans and other organisms make decisions choosing between different options, with the aim to maximize the reward and minimize the cost. The main theoretical framework for modeling the decision-making process has been based on the highly…

Neurons and Cognition · Quantitative Biology 2024-11-19 Olga Tapinova , Tal Finkelman , Tamar Reitich-Stolero , Rony Paz , Assaf Tal , Nir S. Gov

Collision detection is one of the most challenging tasks for Unmanned Aerial Vehicles (UAVs). This is especially true for small or micro UAVs, due to their limited computational power. In nature, flying insects with compact and simple…

Artificial Intelligence · Computer Science 2021-04-20 Jiannan Zhao , Hongxin Wang , Shigang Yue

The collective dynamics seen in a wide variety of chemical, biological and ecological systems involve interactions between relaxation oscillators that typically involve fast activation process coupled with a slower inactivation. In this…

Pattern Formation and Solitons · Physics 2019-05-29 R. Janaki , Shakti N. Menon , Rajeev Singh , Sitabhra Sinha

Lobula plate/lobula columnar, type 2 (LPLC2) visual projection neurons in the fly's visual system possess highly looming-selective properties, making them ideal for developing artificial collision detection systems. The four dendritic…

Neural and Evolutionary Computing · Computer Science 2025-04-08 Renyuan Liu , Qinbing Fu

In the sensation of tones, visions and other stimuli, the "surround inhibition mechanism" (or "lateral inhibition mechanism") is crucial. The mechanism enhances the signals of the strongest tone, color and other stimuli, by reducing and…

Neurons and Cognition · Quantitative Biology 2019-08-27 Naoaki Fujimoto , Muneharu Onoue , Akio Sugamoto , Mamoru Sugamoto , Tsukasa Yumibayashi

Locomotion may be induced on three levels. On a classical level, actuators and limbs follow the sequence of open-loop top-down control signals they receive. Limbs may move alternatively on their own, which implies that interlimb…

Adaptation and Self-Organizing Systems · Physics 2024-09-23 Bulcsú Sándor , Claudius Gros

Compared to human vision, locust visual systems excel at rapid and precise collision detection, despite relying on only hundreds of thousands of neurons organized through a few neuropils. This efficiency makes them an attractive model…

Neural and Evolutionary Computing · Computer Science 2025-05-15 Ziyan Qin , Jigen Peng , Shigang Yue , Qinbing Fu

Orientation selectivity is a remarkable feature of the neurons located in the primary visual cortex. Provided that the visual neurons acquire orientation selectivity through activity-dependent Hebbian learning, the development process could…

Neurons and Cognition · Quantitative Biology 2016-01-20 Myoung Won Cho

Insects have tiny brains but complicated visual systems for motion perception. A handful of insect visual neurons have been computationally modeled and successfully applied for robotics. How different neurons collaborate on motion…

Neural and Evolutionary Computing · Computer Science 2019-04-16 Qinbing Fu , Cheng Hu , Pengcheng Liu , Shigang Yue

The Lobula Giant Movement Detector (LGMD) is a an identified neuron of the locust that detects looming objects and triggers its escape responses. Understanding the neural principles and networks that lead to these fast and robust responses…

Neural and Evolutionary Computing · Computer Science 2021-03-05 Llewyn Salt , David Howard , Giacomo Indiveri , Yulia Sandamirskaya

Inspired by insects' visual brains, this paper presents original modelling of a complementary visual neuronal systems model for real-time and robust collision sensing. Two categories of wide-field motion sensitive neurons, i.e., the lobula…

Robotics · Computer Science 2020-06-12 Qinbing Fu , Shigang Yue

In the central nervous systems of animals like pigeons and locusts, neurons were identified which signal objects approaching the animal on a direct collision course. Unraveling the neural circuitry for collision avoidance, and identifying…

Neurons and Cognition · Quantitative Biology 2018-01-25 Matthias S. Keil , Elisenda Roca-Moreno , Angel Rodriguez-Vazquez

Brains and sensory systems evolved to guide motion. Central to this task is controlling the approach to stationary obstacles and detecting moving organisms. Looming has been proposed as the main monocular visual cue for detecting the…

Robotics · Computer Science 2016-09-21 Krzysztof Chalupka , Michael Dickinson , Pietro Perona

Rich, spontaneous brain activity has been observed across a range of different temporal and spatial scales. These dynamics are thought to be important t for efficient neural functioning. Experimental evidence suggests that these neural…

Neurons and Cognition · Quantitative Biology 2015-01-21 Peter J. Hellyer , Barbara Jachs , Robert Leech , Claudia Clopath

The Lobula Giant Movement Detector (LGMD) is an identified neuron of the locust that detects looming objects and triggers the insect's escape responses. Understanding the neural principles and network structure that lead to these fast and…

Neural and Evolutionary Computing · Computer Science 2019-10-18 Llewyn Salt , David Howard , Giacomo Indiveri , Yulia Sandamirskaya
‹ Prev 1 2 3 10 Next ›