期刊
SMALL
卷 13, 期 32, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/smll.201701193
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资金
- NTU-A*STAR Silicon Technologies Centre of Excellence [112 3510 0003]
- MOE Tier 1 grants [RG184/14, RG166/16]
- MOE [2016-T2-1-100]
Emulation of biological synapses is necessary for future brain-inspired neuromorphic computational systems that could look beyond the standard von Neuman architecture. Here, artificial synapses based on ionic-electronic hybrid oxide-based transistors on rigid and flexible substrates are demonstrated. The flexible transistors reported here depict a high field-effect mobility of approximate to 9 cm(2) V-1 s(-1) with good mechanical performance. Comprehensive learning abilities/synaptic rules like paired-pulse facilitation, excitatory and inhibitory postsynaptic currents, spike-time-dependent plasticity, consolidation, superlinear amplification, and dynamic logic are successfully established depicting concurrent processing and memory functionalities with spatiotemporal correlation. The results present a fully solution processable approach to fabricate artificial synapses for next-generation transparent neural circuits.
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