Call for papers: Neuromorphic Vision Systems
Published in Computational Sciences
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Nature
Neuromorphic Vision Systems
This collection aims to bring together cutting-edge research of neuromorphic vision hardware and algorithms, spanning from hardware-software codesigns to…
What is this collection about?
Artificial visual systems show great promise for perceiving complex and dynamic tasks in real world environments. Inspired by biological vision where neurons fire in response to stimuli, neuromorphic vision sensors operate on an event based sensing principle. This fundamentally distinguishes them from traditional frame based vision systems and offers significant advantages in power efficiency and latency. Combined with on chip computing, neuromorphic vision systems are being rapidly adopted in robotics, autonomous vehicles, surveillance, and other fields that require fast and energy efficient visual information processing. They can even surpass the human eye in terms of processing speed and spectral detection range, and are capable of operating under extreme conditions or adapting to diverse environments as needed.
In this collection, we aim to bring together cutting-edge research of neuromorphic vision hardware and algorithms, spanning from hardware-software codesigns to real-world deployments. Topics of interest include but are not limited to the following:
- Innovative material, device and architecture for neuromorphic sensor
- In-sensor and near-sensor computing for visual perception
- Adaptive and reconfigurable vision systems
- Event-driven vision hardware and algorithm
- Multimodal fusion perception and embodied AI
- Vision restoration and neural interfaces
Nature Communications, Communications Engineering and Communications Materials welcome the submissions of primary research Article, Reviews, and Perspectives that fall into any of the above-mentioned categories. Scientific Reports welcome the submissions of primary research Article. All the submissions will be subject to the same peer review process and editorial standard as regular Nature Communications, Communications Engineering, Communications Materials and Scientific Reports articles.
Why is this collection important?
This collection supports and amplifies research related to SDG 9 - Industry, innovation and infrastructure, and SDG 11 - Sustainable cities and communities.
Why submit to a collection?
Collections like this one help promote high-quality science. They are led by In-House Editors who are experts in their fields and supported by a dedicated team of Commissioning Editors and Managing Editors at Springer Nature. Collection manuscripts typically see higher citations, downloads, and Altmetric scores, and provide a one-stop-shop on a cutting-edge topic of interest.
Who is involved?
This is a cross-journal Collection involving Nature Communications, Communications Engineering, Communications Materials, and Scientific Reports. Authors are welcome to submit to any of the participating journals. All manuscripts published in the collection are hosted on a dedicated nature portfolio portal, giving articles high visibility beyond the journal they are published in.
How can I submit my paper?
Visit the Collection page to find out more about this collection and submit your article.
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Nature Communications
An open access, multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical and Earth sciences.
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Scientific Reports
An open access journal publishing original research from across all areas of the natural sciences, psychology, medicine and engineering.
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Communications Materials
A selective open access journal from Nature Portfolio publishing high-quality research, reviews and commentary in all areas of materials science.
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Communications Engineering
A selective open access journal from Nature Portfolio publishing high-quality research, reviews and commentary in all areas of engineering.
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