Neuromorphic Devices and Brain-Inspired Intelligent Systems: Applications and Prospects
A special issue of Electronics (ISSN 2079-9292).
Deadline for manuscript submissions: 15 October 2025 | Viewed by 106
Special Issue Editors
Interests: artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; medical imaging; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neuromorphic devices and brain-inspired intelligent systems are at the forefront of innovation in artificial intelligence and computing. Inspired by the structure and functionality of biological neural systems, these technologies hold immense potential for revolutionizing areas such as edge computing, robotics, IoT, and artificial general intelligence. Neuromorphic devices, including spiking neural networks and brain-like processors, offer energy-efficient solutions for complex computations and real-time decision-making.
The aim of this Special Issue on “Neuromorphic Devices and Brain-Inspired Intelligent Systems: Applications and Prospects” is to foster the exchange of ideas and research findings on the design, simulation, and application of neuromorphic systems and devices. It encourages contributions that bridge the gap between theory and practice in this rapidly evolving field.
The main topics of this Special Issue include, but are not limited to:
- Neuromorphic device design and modeling;
- Spiking neural networks and their hardware implementations;
- Novel materials and fabrication techniques for neuromorphic computing;
- Energy-efficient AI chips for brain-inspired systems;
- Hardware–software co-design for neuromorphic systems;
- Applications of neuromorphic computing in robotics, IoT, and edge AI;
- Simulation tools for brain-inspired intelligent systems;
- Real-world deployment and testing of neuromorphic systems under diverse conditions.
We look forward to receiving your contributions and insights into these transformative technologies.
Dr. Zhen Cao
Dr. Zhang Guo
Guest Editors
Manuscript Submission Information
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Keywords
- neuromorphic devices
- spiking neural networks
- brain-inspired computing
- neuromorphic computing
- artificial intelligence
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