Neuromorphic Control: Designing Multiscale Mixed-Feedback Systems
نویسندگان
چکیده
Neuromorphic electronic engineering takes inspiration from the biological organization of nervous systems to rethink technology computing, sensing, and actuating (see “Summary”). It started three decades ago with realization by Carver Mead, a pioneer very large-scale integration (VLSI) technology, that operation conventional transistor in analog regime closely resembles biophysical neuron [1] . Mead envisioned novel generation circuits would operate far more efficiently than VLSI allow for new biologically inspired sensing devices. Three later, active vision has become technological reality rid="ref2" xmlns:xlink="http://www.w3.org/1999/xlink">[2] , rid="ref3" xmlns:xlink="http://www.w3.org/1999/xlink">[3] neuromorphic computing emerged as promising avenue reduce energy requirements digital computers rid="ref4" xmlns:xlink="http://www.w3.org/1999/xlink">[4] – rid="ref5" xmlns:xlink="http://www.w3.org/1999/xlink"/> rid="ref6" rid="ref7" xmlns:xlink="http://www.w3.org/1999/xlink">[7] These two applications could just be tip iceberg. circuit architectures call signal processing, control paradigms.
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ژورنال
عنوان ژورنال: IEEE Control Systems Magazine
سال: 2021
ISSN: ['1066-033X', '1941-000X']
DOI: https://doi.org/10.1109/mcs.2021.3107560