Neuromorphic Sensing and Computing: Technologies and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 15 July 2024 | Viewed by 885
Special Issue Editor
Interests: analog computing; dynamical systems; neuro-computing with applications in systems simulation and ultra-fast differential equations solving; nonlinear oscillatory theory with applications; traffic modeling and simulation; traffic telematics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neuromorphic computing is a computing architecture that simulates the behavior of the human brain. It uses principles derived from neuro-biological systems to process data more efficiently and powerfully than traditional computing architectures. Neuromorphic computing systems can learn from their environment and adapt to changing conditions, which has led to them being used in a more comprehensive range of sensing systems as well. Neuromorphic sensing is a kind of sensing technology that mimics the behavior of the human nervous system. It uses sensors to detect changes in the environment and then uses artificial neural networks to interpret the data. Therefore, neuromorphic sensing systems can see subtle differences in the environment. In all cases, neuromorphic computing and sensing systems are challenged to build novel algorithms, tools, and architectures that better address the nature of low-power, dense, and parallel elements.
This Special Issue will focus on advanced research and innovations in neuromorphic sensing and computing systems, architectures, algorithms, and their novel applications. Researchers are welcome to submit their original research on the latest findings related to hardware architecture, event-based sensory systems, computing systems, analog/digital/mixed-signal circuits and architectures for neuromorphic systems, as well as learning systems. Contributions related to the application of neuromorphic technologies in communications engineering, as well as in smart home monitoring and control, are welcome. We also welcome contributions which focus on the design of MOSFETs-based neuromorphic sensor circuits.
Prof. Dr. Jean Chamberlain Chedjou
Guest Editor
Manuscript Submission Information
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Keywords
- analog/digital/mixed-signal circuits and architectures for neuromorphic systems
- architectures and algorithms for neuromorphic computing
- event-based sensory systems
