Journal
NANO ENERGY
Volume 67, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.nanoen.2019.104262
Keywords
Optogenetics; Optoelectronics; Neuromorphic computing; Near-infrared light; Long-term potentiation
Categories
Funding
- National Natural Science Foundation of China [61974093]
- Guangdong Province Special Support Plan for High-Level Talents [2017TQ04X082]
- Guangdong Provincial Department of Science and Technology [2018B030306028]
- Science and Technology Innovation Commission of Shenzhen [JCYJ20180507182042530, JCYJ20180507182000722, JCYJ20170818143618288, JCYJ20180305124214580]
- Shenzhen Peacock Technological Innovation Project [KQJSCX20170727100433270]
- Natural Science Foundation of SZU [860-000002110420]
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Near infrared (NIR) synaptic devices offer a remote-control approach to implement neuromorphic computing for data safety and artificial retinal system applications. In upconverting nanoparticles (UCNPs)-mediated optogenetics biosystems, NIR regulation of membrane ion channels allows remote and selective control of the Ca2+ flux to modulate synaptic plasticity behaviors. Inspired by the upconversion optogenetics, we proposed a NIR artificial synapse based on a UCNPs-MoS2 floating gate phototransistor in which MoS2 acts as light-sensitive ion channels to reabsorb the visible light emitted from UCNPs under NIR illumination. As a result, the synaptic device exhibits stable persistent photocurrent (PPC) effect up to 353 K and ultrahigh photogain (similar to 10(8) electrons per photon), ensuring the long-term potentiation (LTP) behavior. Simulations using the handwritten digit data sets indicate good recognition accuracy of the light-controlled artificial neuron network. Overall, this design concept combining biology, optics and electronics opens up a new avenue for developing optogenetics-inspired neuromorphic technology in the future.
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