journal article·2021-12

A low-dimensional hybrid p-i-n heterojunction neuromorphic transistor with ultra-high UV sensitivity and immediate switchable plasticity

Yao Ni, Shuo Zhang, Lin Sun, Lu Liu, Huanhuan Wei, Zhipeng Xu, Wenlong Xu, Wentao Xu

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Abstract

Abstract We demonstrate a photoelectric neuromorphic transistor (PENT), consisting of a hybrid p-i-n heterojunction channel of vertically phase-separated 2,7-dioctyl[1]benzothieno[3,2-b][1]benzothiophene (C8-BTBT) /poly(methyl methacrylate) (PMMA) as a two-dimensional (2D) sheath and highly-aligned array of long continuous zinc oxide (ZnO) nanowires (NWs) as a quasi-one dimensional (Q1D) core. This is the first report of a hybrid p-i-n heterojunction being developed on a NW-based PENT. The device integrates both optical sensing and electrical processing functionalities. In optical sensing, the device could respond to ultraviolet (UV) light with low intensity down to microwatts per square centimeter, representing so far the most UV-sensitive nonvolatile optoelectronic neural device. In electrical-processing, the PENT demonstrates a mechanically immediate switchable plasticity between short-term and long-term by altering charge carriers in the conductive channel; this emulates the selective release of different neurotransmitters, i.e. dopamine and noradrenaline, from a same axon, for pain-avoiding and pleasure-inducing patterns of Skinner Box for the first time. Furthermore, a new strategy for gesture recognition was developed. This approach can be applied to control and design multipurpose neuromorphic systems by combining brain-like processing and artificial sensory nerves.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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