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Published in 2023 at "Advanced materials"
DOI: 10.1002/adma.202301782
Abstract: Neural recording systems have significantly progressed to provide an advanced understanding and treatment for neurological diseases. Flexible transistor-based active neural probes exhibit great potential in electrophysiology applications due to their intrinsic amplification capability and tissue-compliant…
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Keywords:
processing;
signal processing;
active neural;
organic active ... See more keywords
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Published in 2022 at "IEEE Micro"
DOI: 10.1109/mm.2022.3195634
Abstract: Neuromorphic near-sensor computing has recently emerged as a low-power and low-memory paradigm for the design of artificial intelligence (AI)-enabled IoT devices working at the extreme edge. Compared to conventional sensing and learning techniques, neuromorphic sampling,…
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Keywords:
sensor computing;
neuromorphic near;
event;
near sensor ... See more keywords
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Published in 2017 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2017.2698019
Abstract: Near-sensor data analytics is a promising direction for internet-of-things endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data are stored or sent…
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Keywords:
near sensor;
energy;
encryption;
system chip ... See more keywords
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Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3228725
Abstract: Advanced edge sensing/computing devices, such as AR/VR devices, have a uniquely challenging adaptive baseline workload and camera sensor structure. These devices must process images in real-time from multiple sensors, placing a large burden on a…
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Keywords:
inline formula;
near sensor;
processing;
tex math ... See more keywords