Welcome to the Telluride Neuromorphic Workshop 2024!
Organiser:
- Giulia D’Angelo
Attention:
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Akwasi Akwaboah
-
Ernst Niebur
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Joubert Damien
-
Paul Kirkland
Egomotion:
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Sebastian Fieldhouse
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Elias Arnold
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Joubert Damien
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Leo Liu
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Paul Kirkland
-
Tim Langer
We explored visual attention and egomotion for smart visual architecture for neuromorphic systems.
Visual attention is the process by which our brain selects and focuses on relevant visual information while filtering out the rest. This capability is crucial for efficiently processing the vast amount of visual stimuli we encounter in our environment. By studying visual attention, we aim to better understand how our brains prioritize and manage sensory input.
Neuromorphic technologies strive to replicate the brain's ability to process visual information efficiently. These technologies leverage bio-inspired algorithms and architectures to create systems that can perform tasks like object recognition, scene understanding, and dynamic visual tracking. By incorporating principles of visual attention, neuromorphic systems can achieve higher performance and lower energy consumption compared to traditional computing methods.
- An event-based implementation of saliency-based visual attention for rapid scene analysis Camille Simon Chane, Ernst Niebur, Ryad Benosman, Sio-Hoi Ieng
Egomotion refers to the movement of an observer within an environment. It encompasses the perception of self-motion and the ability to navigate through space. Understanding egomotion is essential for developing advanced neuromorphic systems that can interact seamlessly with their surroundings, such as autonomous robots and augmented reality applications.
Neuromorphic approaches to egomotion involve creating systems that can interpret and respond to their own movements in real-time. By mimicking the brain's way of processing motion cues, these systems can achieve more natural and efficient navigation. This includes the development of sensors and processors that emulate biological neurons and synapses, allowing for rapid adaptation and learning in dynamic environments.
Join us as we delve into these intriguing topics and uncover the mysteries behind how we perceive and interact with the world around us! By harnessing the power of neuromorphic technologies, we aim to push the boundaries of what is possible in artificial intelligence and robotics.
- A Retinal Circuit That Computes Object Motion, Stephen A. Baccus, Bence P. Ölveczky, Mihai Manu and Markus Meister Journal of Neuroscience 2 July 2008, 28 (27) 6807-6817; https://doi.org/10.1523/JNEUROSCI.4206-07.2008
- Segregation of object and background motion in the retina, Bence P. Ölveczky, Stephen A. Baccus & Markus Meister
- Object Motion Sensitivity: A Bio-inspired Solution to the Ego-motion Problem for Event-based Cameras Shay Snyder†, Hunter Thompson†, Md Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh Jaiswal, and Maryam Parsa*