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Reconfigurable neuromorphic computation in biochemical systems
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015Implementing application-specific computation and control tasks within a biochemical system has been an important pursuit in synthetic biology. Most synthetic designs to date have focused on realizing systems of fixed functions using specifically engineered components, thus lacking flexibility to adapt to uncertain and dynamically-changing environments.
Chiang, Hui-Ju +2 more
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Introduction to memristors and neuromorphic systems
Materials HorizonsXiaodong Chen, Cheol Seong Hwang, Yoeri van de Burgt and Francesca Santoro present a themed collection in Materials Horizons and Nanoscale Horizons gathering the latest developments in memristive materials, device fabrication, characterization and ...
Chen, Xiaodong +3 more
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Analog VLSI neuromorphic systems
1993 IEEE International Symposium on Circuits and Systems, 2002The implementation of neuromorphic systems in analog VLSI technology is discussed. As an example, a silicon retina (nearest neighborhood connectivity) and the H-J independent component analyzer (fully connected) auto-adaptive network with on-chip analog storage and learning circuitry are considered. >
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FeFETs for Neuromorphic Systems
2020Neuromorphic engineering represents one of the most promising computing paradigms for overcoming the limitations of the present-day computers in terms of energy efficiency and processing speed. While traditional neuromorphic circuits are based on complementary metal oxide semiconductor (CMOS) transistors and large capacitors, the recently emerging ...
Halid Mulaosmanovic +2 more
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Flexible Artificial Sensory Systems Based on Neuromorphic Devices
ACS Nano, 2021Ting Zhang, Simin Feng, Fuqin Sun
exaly