About this Research Topic
In recent decades, inspired by the biological sensory nervous system, neuromorphic sensing and computing technologies have attracted enormous attention from academia and industry, due to their potential applications in high-performance and energy-efficient sensory signal processing. As the foundation of human perception and cognition, the biological sensory neural networks with distributed, hierarchical topological structure and parallel computing architecture have inspired researchers to design various neuromorphic sensing-processing systems towards perceptual and cognitive intelligence. So far, breakthroughs in neuromorphic hardware (materials, devices, and systems, etc.) and software (machine learning algorithms, etc.), have facilitated the development of artificial sensory neural systems, making continuous progress towards cognitive sensing and computing. We believe that continued efforts in conceiving and exploring novel neuromorphic materials, devices, architectures, and algorithms are essential to achieving the ambitious goal of cognitive intelligence.
This Research Topic aims to contribute a comprehensive overview of the most recent advances and achievements in neuro-inspired intelligent sensing and computing. By promoting discussions on fundamental research questions, key achievements, and milestones in the development of neuro-inspired sensing and computing, and via collecting related works from worldwide researchers, we would like to present recent important findings and progresses, summarize current challenges, and hopefully propose perspectives for future research in neuromorphic sensing and computing towards cognitive intelligence. In this Research Topic, we also expect to encourage multidisciplinary researchers in the fields of material science, device physics, electrical engineering, computer science, and neuroscience to cooperate and provide state-of-the-art methods and techniques for realization of sensing and processing hardware with cognitive intelligence.
The scope of this Research Topic includes novel materials, devices, systems, models, algorithms, etc. for neuromorphic sensing and computing. Articles within the topics of flexible electronics for sensing and computing, models and mechanisms of biological sensing and processing are also welcomed. We invite and welcome submissions of Original Research, Review, Mini Review, Perspective, and Opinion on themes including, but not limited to:
• Emerging materials for sensors and memristors
• Memristor-based networks for sensory data processing
• Artificial sensory systems, e.g., vision, touch, hearing, smell, taste, temperature, magnetic, etc.
• Artificial synapses and neurons for artificial/spiking neural networks
• In-sensor/memory computing devices, networks, systems, architectures, and algorithms, etc.
• Flexible sensors or platforms
• Multi-modal and cross-modal sensory systems integrated with machine learning algorithms
• Models inspired by neuroscience for neuromorphic hardware
• Models and mechanisms of biological sensory processing and perceptual learning
This Research Topic aims to contribute a comprehensive overview of the most recent advances and achievements in neuro-inspired intelligent sensing and computing. By promoting discussions on fundamental research questions, key achievements, and milestones in the development of neuro-inspired sensing and computing, and via collecting related works from worldwide researchers, we would like to present recent important findings and progresses, summarize current challenges, and hopefully propose perspectives for future research in neuromorphic sensing and computing towards cognitive intelligence. In this Research Topic, we also expect to encourage multidisciplinary researchers in the fields of material science, device physics, electrical engineering, computer science, and neuroscience to cooperate and provide state-of-the-art methods and techniques for realization of sensing and processing hardware with cognitive intelligence.
The scope of this Research Topic includes novel materials, devices, systems, models, algorithms, etc. for neuromorphic sensing and computing. Articles within the topics of flexible electronics for sensing and computing, models and mechanisms of biological sensing and processing are also welcomed. We invite and welcome submissions of Original Research, Review, Mini Review, Perspective, and Opinion on themes including, but not limited to:
• Emerging materials for sensors and memristors
• Memristor-based networks for sensory data processing
• Artificial sensory systems, e.g., vision, touch, hearing, smell, taste, temperature, magnetic, etc.
• Artificial synapses and neurons for artificial/spiking neural networks
• In-sensor/memory computing devices, networks, systems, architectures, and algorithms, etc.
• Flexible sensors or platforms
• Multi-modal and cross-modal sensory systems integrated with machine learning algorithms
• Models inspired by neuroscience for neuromorphic hardware
• Models and mechanisms of biological sensory processing and perceptual learning
Keywords: bio-inspired sensing and coding, brain-inspired computing, in-sensor/memory computing, artificial synapses and neurons, memristor neural networks, neuromorphic engineering, perceptual learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
