Bursting and Excitability in Neuromorphic Resonant Tunneling Diodes

نویسندگان

چکیده

Neurons exhibit $e\phantom{\rule{0}{0ex}}x\phantom{\rule{0}{0ex}}c\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}a\phantom{\rule{0}{0ex}}b\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}l\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}y$, the dynamical property that is likewise key to biologically inspired artificial intelligence. The neuromorphic circuits proposed so far have been slow and power-hungry. Seeking a better architecture supports spikes as information carriers, authors look resonant tunneling diodes excitable spike generators. These nonlinear quantum nanoelectronic elements can reach terahertz frequencies, may be coupled nanolasers for all-optical data transmission. This study theoretically characterizes their spiking bursting dynamics, establish basis fast, minimal-power optoelectronic machine learning.

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ژورنال

عنوان ژورنال: Physical review applied

سال: 2021

ISSN: ['2331-7043', '2331-7019']

DOI: https://doi.org/10.1103/physrevapplied.15.034017